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Paper Citation Record · LEDGER

Graph-based Fake Account Detection: A Survey

As of 20 August 2026, this Paper Citation Record lists 100 of 140 outbound references and 0 inbound Pith citation observations for arXiv:2507.06541.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.06541 v1

Coverage vector

measured 100 of 140 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:04:40.347384Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 140 outbound references displayed

  • verified exact7
  • verified fuzzy28
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation c1ad553b-19a8-4b29-abc4-a52994a31194 · outbound

This paper cites Public opinion manipulation on social media: Social network analysis of twitter bots during the covid-19 pandemic,.

Graph-based Fake Account Detection: A Survey Public opinion manipulation on social media: Social network analysis of twitter bots during the covid-19 pandemic,

Reference 1

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Observation ea97f29b-4e8d-4027-aa98-745a7cb3a45f · outbound

This paper cites Fake Followers in Influencer Marketing Will Cost Brands 1.3b$ This Year, Report Says,.

Graph-based Fake Account Detection: A Survey Fake Followers in Influencer Marketing Will Cost Brands 1.3b$ This Year, Report Says,

Reference 2

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Observation 78cbbeef-19a1-482d-91e3-d2d22d449407 · outbound

This paper cites Assembling a multi-platform ensemble social bot detector with applications to us 2020 elections,.

Graph-based Fake Account Detection: A Survey Assembling a multi-platform ensemble social bot detector with applications to us 2020 elections,

Reference 3

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Observation f6b95d3f-a2bd-42c6-8e9b-ae0aabca6cfa · outbound

This paper cites Competing state and grassroots opposition influence in the 2021 hong kong election,.

Graph-based Fake Account Detection: A Survey Competing state and grassroots opposition influence in the 2021 hong kong election,

Reference 4

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Observation fa752143-558b-4c34-88e3-eb26a39039d8 · outbound

This paper cites Active, aggressive, but to little avail: Characterizing bot activity during the 2020 singaporean elections,.

Graph-based Fake Account Detection: A Survey Active, aggressive, but to little avail: Characterizing bot activity during the 2020 singaporean elections,

Reference 5

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Observation d881967f-94ee-4fb6-a3ad-9cf0e4c38022 · outbound

This paper cites Computational analysis of bot activity in the asia-pacific: a comparative study of four national elections,.

Graph-based Fake Account Detection: A Survey Computational analysis of bot activity in the asia-pacific: a comparative study of four national elections,

Reference 6

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Observation 3a532d19-82fc-4a5f-880c-58a63675afbf · outbound

This paper cites Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election.

Graph-based Fake Account Detection: A Survey Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election

Reference 7

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Observation 095d20d4-311d-45c0-b063-54db34557b55 · outbound

This paper cites An exploratory analysis of covid bot vs human disinformation dissemination stemming from the disinformation dozen on telegram,.

Graph-based Fake Account Detection: A Survey An exploratory analysis of covid bot vs human disinformation dissemination stemming from the disinformation dozen on telegram,

Reference 8

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Observation d801deba-af1c-4c0d-86fd-4735e0d299da · outbound

This paper cites What Types of COVID-19 Conspiracies are Populated by Twitter Bots?.

Graph-based Fake Account Detection: A Survey What Types of COVID-19 Conspiracies are Populated by Twitter Bots?

Reference 9

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Observation f0de1087-4a5d-424f-97fb-78a967682751 · outbound

This paper cites More Than 9,000 Scam Facebook Pages Deleted After Australians Lose 43.4m $ to Celebrity Deepfakes,.

Graph-based Fake Account Detection: A Survey More Than 9,000 Scam Facebook Pages Deleted After Australians Lose 43.4m $ to Celebrity Deepfakes,

Reference 10

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Observation a27622bd-5c12-4b74-9832-15bc56e43e45 · outbound

This paper cites Be Aware of Fake Social Media Accounts: More Than 1 Billion Were Ousted in 2021,.

Graph-based Fake Account Detection: A Survey Be Aware of Fake Social Media Accounts: More Than 1 Billion Were Ousted in 2021,

Reference 11

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Observation 30085228-20c5-48b2-b5c6-7d353e1bf867 · outbound

This paper cites Sybilscar: Sybil detection in online social networks via local rule based propagation,.

Graph-based Fake Account Detection: A Survey Sybilscar: Sybil detection in online social networks via local rule based propagation,

Reference 12

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Observation 64b762ea-706c-4588-8efa-e675bae38856 · outbound

This paper cites Multimodal detection of bots on x (twitter) using transformers,.

Graph-based Fake Account Detection: A Survey Multimodal detection of bots on x (twitter) using transformers,

Reference 13

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Observation 056a2af5-dffb-4dbf-8452-7fcad27a5046 · outbound

This paper cites Rosgas: Adaptive social bot detection with reinforced self-supervised gnn architecture search,.

Graph-based Fake Account Detection: A Survey Rosgas: Adaptive social bot detection with reinforced self-supervised gnn architecture search,

Reference 14

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Observation be53a806-ceb1-4cc5-80a0-1c004fb4ecdf · outbound

This paper cites Dynamicity-aware social bot detection with dynamic graph transformers,.

Graph-based Fake Account Detection: A Survey Dynamicity-aware social bot detection with dynamic graph transformers,

Reference 15

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Observation 91b11865-5589-4b0a-9894-523d219cdcc1 · outbound

This paper cites My brother helps me: Node injection based adversarial attack on social bot detection,.

Graph-based Fake Account Detection: A Survey My brother helps me: Node injection based adversarial attack on social bot detection,

Reference 16

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Observation 45b1ad3c-2f24-4e8c-ae05-7c29dd2001d4 · outbound

This paper cites On using node indices and their correlations for fake account detection,.

Graph-based Fake Account Detection: A Survey On using node indices and their correlations for fake account detection,

Reference 17

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Observation c98adfcf-17b1-42c1-9794-3f489a6ae844 · outbound

This paper cites SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection.

Graph-based Fake Account Detection: A Survey SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection

Reference 18

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source=pdf_text observed=2026-08-06T19:04:40.125703Z digest=sha256:962627067ef2efcf753fbe2a97347011b44cee8e22430f82cdd6e6c1464880af

Observation d5ee0e71-16d8-4102-bc34-fac30901c1ab · outbound

This paper cites Integro: Leveraging victim prediction for robust fake account detection in osns.

Graph-based Fake Account Detection: A Survey Integro: Leveraging victim prediction for robust fake account detection in osns

Reference 19

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Observation 4f99c7c6-51ab-449c-92e5-5e3879f75ad1 · outbound

This paper cites Unveiling fake accounts at the time of registration: an unsupervised approach,.

Graph-based Fake Account Detection: A Survey Unveiling fake accounts at the time of registration: an unsupervised approach,

Reference 20

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Observation 766758b3-bc2e-42d2-a26a-4004acd82911 · outbound

This paper cites Friend or faux: Graph-based early detection of fake accounts on social networks,.

Graph-based Fake Account Detection: A Survey Friend or faux: Graph-based early detection of fake accounts on social networks,

Reference 21

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Observation f029db3f-17ac-441c-80c9-7d192652d9c5 · outbound

This paper cites Gufad: a graph-based unsupervised fraud account detection framework,.

Graph-based Fake Account Detection: A Survey Gufad: a graph-based unsupervised fraud account detection framework,

Reference 22

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Observation 345252b3-320b-479e-b4d2-92a18a1850c5 · outbound

This paper cites Detecting clusters of fake accounts in online social networks,.

Graph-based Fake Account Detection: A Survey Detecting clusters of fake accounts in online social networks,

Reference 23

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Observation d3c11bf4-ba54-4288-b5d1-1e50beae68d7 · outbound

This paper cites Early detection and prevention of malicious user behavior on twitter using deep learning techniques,.

Graph-based Fake Account Detection: A Survey Early detection and prevention of malicious user behavior on twitter using deep learning techniques,

Reference 24

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Observation 5dbca065-c5fc-4faa-99d5-39d65bcd14a3 · outbound

This paper cites Botcl: a social bot detection model based on graph contrastive learning,.

Graph-based Fake Account Detection: A Survey Botcl: a social bot detection model based on graph contrastive learning,

Reference 25

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Observation f0491423-fb23-4cfb-97af-33e8e754a770 · outbound

This paper cites An enhanced graph-based semi-supervised learning algorithm to detect fake users on twitter,.

Graph-based Fake Account Detection: A Survey An enhanced graph-based semi-supervised learning algorithm to detect fake users on twitter,

Reference 26

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Observation 4b753ced-3b16-49b4-a250-96d77da25d31 · outbound

This paper cites Unsupervised social bot detection via structural information theory,.

Graph-based Fake Account Detection: A Survey Unsupervised social bot detection via structural information theory,

Reference 27

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Observation 209c09e4-9175-457b-846d-0e0799093843 · outbound

This paper cites Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection,.

Graph-based Fake Account Detection: A Survey Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection,

Reference 28

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Observation 6556c7d1-5592-41d7-a53e-400d0fc4cb08 · outbound

This paper cites Sybil Detection using Graph Neural Networks.

Graph-based Fake Account Detection: A Survey Sybil Detection using Graph Neural Networks

Reference 29

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Observation a3b58d54-d358-4e28-b02b-f4d2db26cfa6 · outbound

This paper cites Uncovering social network sybils in the wild,.

Graph-based Fake Account Detection: A Survey Uncovering social network sybils in the wild,

Reference 30

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Observation 97d9bc19-527e-473f-9919-cb0d46e77172 · outbound

This paper cites User behavior-based and graph-based hybrid approach for detection of sybil attack in online social networks,.

Graph-based Fake Account Detection: A Survey User behavior-based and graph-based hybrid approach for detection of sybil attack in online social networks,

Reference 31

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Observation d15667e6-3079-46f2-ab6e-0d1970cc08bf · outbound

This paper cites Fakebook: Detecting fake profiles in on-line social networks,.

Graph-based Fake Account Detection: A Survey Fakebook: Detecting fake profiles in on-line social networks,

Reference 32

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Observation 0a489483-fe03-4cf8-892e-20d09bf6a2ae · outbound

This paper cites Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization.

Graph-based Fake Account Detection: A Survey Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization

Reference 33

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Observation 24dfd353-6857-496c-978b-f7d591a15a42 · outbound

This paper cites Demystifying Misconceptions in Social Bots Research.

Graph-based Fake Account Detection: A Survey Demystifying Misconceptions in Social Bots Research

Reference 34

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Observation 799e6fda-bbf7-4fa4-8179-0ff2a70f6c07 · outbound

This paper cites Characteristics and prevalence of fake social media profiles with AI-generated faces.

Graph-based Fake Account Detection: A Survey Characteristics and prevalence of fake social media profiles with AI-generated faces

Reference 35

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source=pdf_text observed=2026-08-06T19:04:40.169804Z digest=sha256:ddc03b97285cd4a99827bf75107895aa6c5692296830cd00b5b601c24b4daeb2

Observation 896a8294-2d46-4362-a145-1115efbbf5a2 · outbound

This paper cites Analysis survey on deepfake detection and recognition with convolutional neural networks,.

Graph-based Fake Account Detection: A Survey Analysis survey on deepfake detection and recognition with convolutional neural networks,

Reference 36

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Observation b8c539ab-b016-4c59-a640-02ae44a1e62c · outbound

This paper cites Mgtab: A multi-relational graph-based twitter account detection benchmark,.

Graph-based Fake Account Detection: A Survey Mgtab: A multi-relational graph-based twitter account detection benchmark,

Reference 37

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Observation c4f71e51-29d0-45ab-a04b-d7b41e86d333 · outbound

This paper cites Detect me if you can: Spam bot detection using inductive representation learning,.

Graph-based Fake Account Detection: A Survey Detect me if you can: Spam bot detection using inductive representation learning,

Reference 38

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Observation 0f744533-d820-4f94-907f-a7ba3ae35728 · outbound

This paper cites Satar: a self-supervised approach to twitter account representation learning and its application in bot detection,.

Graph-based Fake Account Detection: A Survey Satar: a self-supervised approach to twitter account representation learning and its application in bot detection,

Reference 39

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source=pdf_text observed=2026-08-06T19:04:40.180004Z digest=sha256:53b7360b6e7e7ee5f4c192f445936242231b7cab91aeb0e6c917a7504eef96e9

Observation c449156e-d119-4d08-b318-41609e893c3f · outbound

This paper cites Bot2vec: a general approach of intra-community oriented represen- tation learning for bot detection in different types of social networks,.

Graph-based Fake Account Detection: A Survey Bot2vec: a general approach of intra-community oriented represen- tation learning for bot detection in different types of social networks,

Reference 40

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source=pdf_text observed=2026-08-06T19:04:40.182234Z digest=sha256:05fe92522a901036a090627bba462167821e51e2932cf00f32bcab160fa8915a

Observation 2d747b74-f47f-498c-9fe9-6272cfdde94f · outbound

This paper cites Deep Graph Contrastive Representation Learning.

Graph-based Fake Account Detection: A Survey Deep Graph Contrastive Representation Learning

Reference 41

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source=pdf_text observed=2026-08-06T19:04:40.184562Z digest=sha256:f9b979256c91110ac6d8e48387b14db4b30da32b38550522f665fad74c7413e5

Observation 13c08c84-d401-41d7-8994-75e5e63c28dd · outbound

This paper cites A survey on graph representation learning methods,.

Graph-based Fake Account Detection: A Survey A survey on graph representation learning methods,

Reference 42

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source=pdf_text observed=2026-08-06T19:04:40.187227Z digest=sha256:07091059e412a06928cd8e5df80729202f973d989e61ef4f795c1b9aae4b62db

Observation 60112cc7-4ae7-4491-b950-e5bc71c6dc0b · outbound

This paper cites Botscl: Heterophily-aware social bot detection with supervised contrastive learning,.

Graph-based Fake Account Detection: A Survey Botscl: Heterophily-aware social bot detection with supervised contrastive learning,

Reference 43

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source=pdf_text observed=2026-08-06T19:04:40.189615Z digest=sha256:13e324089905791c6d084645c74ca9b6b0706b3fc61c10d18dc0f3000caa02ce

Observation 7cf366aa-14e5-419c-9aff-f3cb18f5eb4a · outbound

This paper cites Random walk based fake account detection in online social networks,.

Graph-based Fake Account Detection: A Survey Random walk based fake account detection in online social networks,

Reference 44

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source=pdf_text observed=2026-08-06T19:04:40.192062Z digest=sha256:cec83cffa9e19c262257f26226a1921df98df03816a9655823c3a314e9ba2261

Observation b5a196ce-8056-4443-8b9d-ab9806849552 · outbound

This paper cites Sybilbelief: a semi-supervised learning approach for structure-based sybil detection,.

Graph-based Fake Account Detection: A Survey Sybilbelief: a semi-supervised learning approach for structure-based sybil detection,

Reference 45

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source=pdf_text observed=2026-08-06T19:04:40.195593Z digest=sha256:bf63cbac65d1c08df44985bafbf33752087c7872581f7597c1ab7c83417aeb59

Observation f27a1980-60bc-4092-9131-a34809c3c13c · outbound

This paper cites Sybilguard: Defending against sybil attacks via social networks,.

Graph-based Fake Account Detection: A Survey Sybilguard: Defending against sybil attacks via social networks,

Reference 46

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source=pdf_text observed=2026-08-06T19:04:40.198029Z digest=sha256:321d493a5263303e66cd672012129000da385b4eb1cf7510f8c6b45c851ea983

Observation e7a2c6dc-b71e-49cd-a5e8-54e631d48dfb · outbound

This paper cites Sybilfuse: Combining local attributes with global structure to perform robust sybil detection,.

Graph-based Fake Account Detection: A Survey Sybilfuse: Combining local attributes with global structure to perform robust sybil detection,

Reference 47

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source=pdf_text observed=2026-08-06T19:04:40.201292Z digest=sha256:6757c03f2b52477928da112caac4cd253fcaf6e4326bb48550cd1f134b7fa3c5

Observation e3384928-e8e9-4fec-be30-25b4fb21fda2 · outbound

This paper cites The pagerank citation ranking: Bringing order to the web.

Graph-based Fake Account Detection: A Survey The pagerank citation ranking: Bringing order to the web

Reference 48

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source=pdf_text observed=2026-08-06T19:04:40.203717Z digest=sha256:05231178f3ba1b739cb4fc7d7f0b3d5ecf4bbfc28374580e1e0173785ebb1bf7

Observation a800d428-34e0-478d-84f5-faf5d04b0f15 · outbound

This paper cites Aiding the detection of fake accounts in large scale social online services,.

Graph-based Fake Account Detection: A Survey Aiding the detection of fake accounts in large scale social online services,

Reference 49

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source=pdf_text observed=2026-08-06T19:04:40.207053Z digest=sha256:0ddada56a55d48207f8a50a297e84bbd2351780bef954a904ad75dda6399d25c

Observation 65bad95a-ce98-4ffe-8873-6f1538fcaff9 · outbound

This paper cites Sybillimit: a near-optimal social network defense against sybil attacks,.

Graph-based Fake Account Detection: A Survey Sybillimit: a near-optimal social network defense against sybil attacks,

Reference 50

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source=pdf_text observed=2026-08-06T19:04:40.209999Z digest=sha256:4c51c0a635d49394f25d71c110db34d48685c5ae5603daa2bb3a253ce0afbe79

Observation e81b0e2f-3d99-4a75-bf12-93b9ee014a1b · outbound

This paper cites Sybilinfer: Detecting sybil nodes using social networks.

Graph-based Fake Account Detection: A Survey Sybilinfer: Detecting sybil nodes using social networks

Reference 51

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source=pdf_text observed=2026-08-06T19:04:40.212550Z digest=sha256:b35f8220956cc6438bc6c2bf9db8455b60aef408629a19d1530dc417f751a2c7

Observation 2accf24a-44f4-4852-8c53-781e04b5d594 · outbound

This paper cites Sybildefender: Defend against sybil attacks in large social networks,.

Graph-based Fake Account Detection: A Survey Sybildefender: Defend against sybil attacks in large social networks,

Reference 52

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source=pdf_text observed=2026-08-06T19:04:40.215935Z digest=sha256:a3a9fde21b07966107dddc4f6888b643c6af6e4c21fa2f9292258bf8c55519ce

Observation 4b26bb40-eb58-44af-8555-b6147737a424 · outbound

This paper cites Sok: the evolution of sybil defense via social networks,.

Graph-based Fake Account Detection: A Survey Sok: the evolution of sybil defense via social networks,

Reference 53

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source=pdf_text observed=2026-08-06T19:04:40.218285Z digest=sha256:5b012f0d0895fab012d6368d0c0bad3af657d6cb326cbec54188ac299030d89c

Observation dd725e81-ce39-41c0-a658-9a09ee35c1fb · outbound

This paper cites Similcatch: Enhanced social spammers detection on twitter using markov random fields,.

Graph-based Fake Account Detection: A Survey Similcatch: Enhanced social spammers detection on twitter using markov random fields,

Reference 54

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source=pdf_text observed=2026-08-06T19:04:40.220624Z digest=sha256:86498c38c2e50526c3c6748ae2a1741a60b2bce70ad4f02a98d420092f614aab

Observation 2f7c847d-783f-4a64-87f0-895c4ef0ceea · outbound

This paper cites Sybilhp: Sybil detection in directed social networks with adaptive homophily prediction,.

Graph-based Fake Account Detection: A Survey Sybilhp: Sybil detection in directed social networks with adaptive homophily prediction,

Reference 55

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source=pdf_text observed=2026-08-06T19:04:40.223868Z digest=sha256:37c73886652bcd20d1321eba7a4775bfc42e26e9e9dd2d9095f448e6fcdc1769

Observation 26fd0c6d-1d49-4335-a6cd-89bf569508f6 · outbound

This paper cites The strong link graph for enhancing sybil defenses,.

Graph-based Fake Account Detection: A Survey The strong link graph for enhancing sybil defenses,

Reference 56

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source=pdf_text observed=2026-08-06T19:04:40.226079Z digest=sha256:4ce5ed8cadb172e822df3a4554cfd92761e4b3824a375c77ca744e0089fb2682

Observation 2df4226d-ee3c-4f6a-ad9b-b38ff149b4ee · outbound

This paper cites Sybilhunter: Hybrid graph-based sybil detection by aggregating user behaviors,.

Graph-based Fake Account Detection: A Survey Sybilhunter: Hybrid graph-based sybil detection by aggregating user behaviors,

Reference 57

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source=pdf_text observed=2026-08-06T19:04:40.228488Z digest=sha256:a258a224f4560e93bb9ca5478d7f2ba331f60bf4b339a13527286c2d6e2f101f

Observation c3ad5d68-7505-4762-befd-6b54f9b4fd2f · outbound

This paper cites Enhancing sybil detection via social-activity networks: a random walk approach,.

Graph-based Fake Account Detection: A Survey Enhancing sybil detection via social-activity networks: a random walk approach,

Reference 58

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source=pdf_text observed=2026-08-06T19:04:40.230915Z digest=sha256:2caf39f3358a16b1bffe4d87b459af70bdbd364af8e331ae050c5ae0f313162c

Observation 2c8bcefd-cec5-4946-af06-92fecd2f3487 · outbound

This paper cites More efficient sybil detection mechanisms leveraging resistance of users to attack requests,.

Graph-based Fake Account Detection: A Survey More efficient sybil detection mechanisms leveraging resistance of users to attack requests,

Reference 59

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source=pdf_text observed=2026-08-06T19:04:40.233419Z digest=sha256:bb603c87949a9ab2feddbea3960f63aa16371046251546579e408ec197e4eba3

Observation c2c8b3ff-cde8-4677-b193-79e3b430620f · outbound

This paper cites Preemptive detection of fake accounts on social networks via multi-class preferential attachment classifiers,.

Graph-based Fake Account Detection: A Survey Preemptive detection of fake accounts on social networks via multi-class preferential attachment classifiers,

Reference 60

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source=pdf_text observed=2026-08-06T19:04:40.235755Z digest=sha256:ad41bd2cc49b5ed43b8585ca14ed5e7484b0b7140c92d5f4dc5a8ec6b6a43cac

Observation c5a1896c-a94a-43c2-b055-c1d5139e3402 · outbound

This paper cites Ricc: Robust collective classification of sybil accounts,.

Graph-based Fake Account Detection: A Survey Ricc: Robust collective classification of sybil accounts,

Reference 61

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source=pdf_text observed=2026-08-06T19:04:40.239075Z digest=sha256:b41823486993ba9e21c56342232c243369920e60823c28f14ceeff6774a079e4

Observation 48b5ac7a-61a1-49c2-bb86-f8234e897b96 · outbound

This paper cites Sybilblind: Detecting fake users in online social networks without manual labels,.

Graph-based Fake Account Detection: A Survey Sybilblind: Detecting fake users in online social networks without manual labels,

Reference 62

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source=pdf_text observed=2026-08-06T19:04:40.241584Z digest=sha256:71d0cff12fb3623dcfa52495395040b2638d84f6d5f82a5027267f26a4a54c6c

Observation b7162406-63d9-4d6c-aaf4-1d8df5492d9f · outbound

This paper cites Sybil detection as graph filtering,.

Graph-based Fake Account Detection: A Survey Sybil detection as graph filtering,

Reference 63

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source=pdf_text observed=2026-08-06T19:04:40.243925Z digest=sha256:a7ff9d346dcac5d12599a379e0f730f60502b3246c54cdd127006ac58a260000

Observation dc374116-98c1-4a3a-a0dd-938b80704cdc · outbound

This paper cites Interpreting graph-based sybil detection methods as low-pass filtering,.

Graph-based Fake Account Detection: A Survey Interpreting graph-based sybil detection methods as low-pass filtering,

Reference 64

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source=pdf_text observed=2026-08-06T19:04:40.246825Z digest=sha256:936bc01ceeadab1ef18167f8106237944b246811156bc5f09fe9476b2b370190

Observation cb98db59-8e36-4efc-b160-eca9e108bf49 · outbound

This paper cites Tsd: Detecting sybil accounts in twitter,.

Graph-based Fake Account Detection: A Survey Tsd: Detecting sybil accounts in twitter,

Reference 65

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source=pdf_text observed=2026-08-06T19:04:40.249960Z digest=sha256:8ad42aa049f81583785263adedaf15df4cfd98ffb6ac2ee5aad62aa9e84d0e82

Observation ab29501b-f987-4fe7-96de-fcb38ec02ded · outbound

This paper cites Twitter fake account detection,.

Graph-based Fake Account Detection: A Survey Twitter fake account detection,

Reference 66

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source=pdf_text observed=2026-08-06T19:04:40.253299Z digest=sha256:b7896d26646b707ec66bd5df4ab6ce1d8edaf5d828d6689d71333e290675ddcb

Observation ef56ade4-1501-49f9-ba61-1c1528396852 · outbound

This paper cites BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns.

Graph-based Fake Account Detection: A Survey BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns

Reference 67

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local_arxiv, observed 2026-08-06T19:04:40.545071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.256056Z digest=sha256:e2f13c2ad2b4cd2722532d6351ef629b8b0d51935b62589e8543a10c0c207237

Observation 5ecdf20c-882f-4da3-9be8-f34da5edc549 · outbound

This paper cites An efficient fake account identi- fication in social media networks: Facebook and instagram using nsga-ii algorithm,.

Graph-based Fake Account Detection: A Survey An efficient fake account identi- fication in social media networks: Facebook and instagram using nsga-ii algorithm,

Reference 68

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source=pdf_text observed=2026-08-06T19:04:40.258801Z digest=sha256:7501048633fa9f51681707c6abcf9fa63947c9f00e08523a7970c7ee86d268f7

Observation f5b61fe8-e5f6-4e61-8caa-8c047de2b1ea · outbound

This paper cites Identifying fake accounts on social networks based on graph analysis and classification algorithms,.

Graph-based Fake Account Detection: A Survey Identifying fake accounts on social networks based on graph analysis and classification algorithms,

Reference 69

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source=pdf_text observed=2026-08-06T19:04:40.261635Z digest=sha256:a94b6bbd0015e1fb7b386538c706b0d30f128f8329caaefc7fdf66cb872825b6

Observation 4f4e2b8b-9f7e-4bdf-a445-19e34a15c432 · outbound

This paper cites Leveraging node neighborhoods and egograph topology for better bot detection in social graphs,.

Graph-based Fake Account Detection: A Survey Leveraging node neighborhoods and egograph topology for better bot detection in social graphs,

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-06T19:04:41.085246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.264061Z digest=sha256:9ea00622ecd10030aba3fae6be58b96966db6d7e39cb76fe616f2dd69adedaf3

Observation 2e49db26-7727-4593-a421-110d4209b853 · outbound

This paper cites Detecting fake accounts in online social networks at the time of registrations,.

Graph-based Fake Account Detection: A Survey Detecting fake accounts in online social networks at the time of registrations,

Reference 71

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raw_fallback, observed 2026-08-06T19:04:41.078629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.266628Z digest=sha256:a3017ba5f24fbdf316aeffa31b36c13df02d26a051f55f3af1765eb6937b1942

Observation 4c45da6a-a117-4ebd-aa10-fc6ab3486591 · outbound

This paper cites graph2vec: Learning Distributed Representations of Graphs.

Graph-based Fake Account Detection: A Survey graph2vec: Learning Distributed Representations of Graphs

Reference 72

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source=pdf_text observed=2026-08-06T19:04:40.269152Z digest=sha256:e062573cb7d34d901258219700ae7796aaf1252ca7a7ff2c05d6c1972d715959

Observation 7bde24f3-5b54-4ceb-90b2-fd90e425a0cb · outbound

This paper cites Adversarial socialbots modeling based on structural information principles,.

Graph-based Fake Account Detection: A Survey Adversarial socialbots modeling based on structural information principles,

Reference 73

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raw_fallback, observed 2026-08-06T19:04:41.072099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.272576Z digest=sha256:492f7bbb9fa80cb9292b3c7239e5353c79b498c4b8751a30e0724f52ead2e39f

Observation 30d72dab-427d-4ab3-acad-1e4668eb25e1 · outbound

This paper cites Bot detection on social networks using persistent homology,.

Graph-based Fake Account Detection: A Survey Bot detection on social networks using persistent homology,

Reference 74

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raw_fallback, observed 2026-08-06T19:04:41.059262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.275093Z digest=sha256:4a23ab70486022db830c06b9f32b6e2e187778f2d5d83da65367622903efe693

Observation bb29b974-6af1-4869-b499-e3d463f32df6 · outbound

This paper cites Botfinder: a novel framework for social bots detection in online social networks based on graph embedding and community detection,.

Graph-based Fake Account Detection: A Survey Botfinder: a novel framework for social bots detection in online social networks based on graph embedding and community detection,

Reference 75

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raw_fallback, observed 2026-08-06T19:04:41.051147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.277724Z digest=sha256:499e583c6538a220bd56c2027eff2104ebe5aff274dccba80cdf907fc965c3a5

Observation 300bbd34-e283-4005-8928-3e25e3ff20de · outbound

This paper cites Node2vec: Scalable feature learning for networks,.

Graph-based Fake Account Detection: A Survey Node2vec: Scalable feature learning for networks,

Reference 76

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raw_fallback, observed 2026-08-06T19:04:41.044167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.280242Z digest=sha256:414a796474555bb61a948bab6353426b9592c32d1505738d56849be854bfb21f

Observation 9c7e77fb-f1ad-4cd3-9adf-a275fd92f4cc · outbound

This paper cites An efficient victim prediction for sybil detection in online social network,.

Graph-based Fake Account Detection: A Survey An efficient victim prediction for sybil detection in online social network,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:41.036500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.282693Z digest=sha256:e002c27e4045ed34141399ce30b26c996d3490057d183c2589155f38672c4c0d

Observation e7451be7-a32d-4194-ad0b-4ec0b8be0178 · outbound

This paper cites Fake account detection with attention-based graph convolution networks,.

Graph-based Fake Account Detection: A Survey Fake account detection with attention-based graph convolution networks,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:41.028417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.285610Z digest=sha256:692c0985b8d9e40125b435f2b7db5912d781c2fa119435f8659df1ae2e82aa9d

Observation 1b67aab8-22d6-401c-86fa-65559a01fc37 · outbound

This paper cites Graph neural networks based framework to analyze social media platforms for malicious user detection,.

Graph-based Fake Account Detection: A Survey Graph neural networks based framework to analyze social media platforms for malicious user detection,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:41.021702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.289116Z digest=sha256:5c14a31fd676968fddf860bab75c8fed9bb13577f3d17d9bd8e756cb682221f7

Observation ff957422-f22d-4d3b-a724-fe646d0e5939 · outbound

This paper cites Over-sampling strategy in feature space for graphs based class-imbalanced bot detection,.

Graph-based Fake Account Detection: A Survey Over-sampling strategy in feature space for graphs based class-imbalanced bot detection,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:41.014190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.291650Z digest=sha256:db8433f582987ff870427acc7febd1f9c351ce46da49205630b76b43930ca472

Observation 37c774dc-8daa-4032-9ac3-f69e862cb578 · outbound

This paper cites Social botnet community detection: a novel approach based on behavioral similarity in twitter network using deep learning,.

Graph-based Fake Account Detection: A Survey Social botnet community detection: a novel approach based on behavioral similarity in twitter network using deep learning,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:41.006770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.294099Z digest=sha256:0f6c8ff06183ea32e7e7286ff0f9c4c4138bdd798a113e19f30c0675d3c84255

Observation 1d3d6ca4-b5ac-48cf-9829-d47149fba4aa · outbound

This paper cites Trustgcn: Enabling graph convolutional network for robust sybil detection in osns,.

Graph-based Fake Account Detection: A Survey Trustgcn: Enabling graph convolutional network for robust sybil detection in osns,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.999188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.297280Z digest=sha256:f0862579b4a2095852e61225ba2897b0e86af08a1f31ab6c755ee46eecb644c6

Observation 8c877448-4b2c-4ebf-9c13-0073706adff1 · outbound

This paper cites RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection.

Graph-based Fake Account Detection: A Survey RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:04:40.529309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.300451Z digest=sha256:335594608d8ad3454eddf3bbd63644e6fc705648a514410776b2fe506df55bc2

Observation c2bd4b83-446e-4ad5-87a4-5b60f0260c8d · outbound

This paper cites Uncovering malicious accounts in online social networks using xgboost and graph convolution networks,.

Graph-based Fake Account Detection: A Survey Uncovering malicious accounts in online social networks using xgboost and graph convolution networks,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.992023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.303847Z digest=sha256:bee397bc47c855534439cf9b9c7ef371563eca89abf71276a7d1d264721d1f98

Observation 3dd9d1e1-b56d-4bf0-a572-aca9dc65e31d · outbound

This paper cites Sstackgnn: Graph data augmentation simplified stacking graph neural network for twitter bot detection,.

Graph-based Fake Account Detection: A Survey Sstackgnn: Graph data augmentation simplified stacking graph neural network for twitter bot detection,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.984963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.306293Z digest=sha256:23a8d64abbdb0b870e6220a785ce4be7abf3505ee25c35d0ad54a83dde902242

Observation 41fce31c-e1b5-45c5-91cb-c9ee8ceaa6bf · outbound

This paper cites Markov-driven graph convolutional networks for social spammer detection,.

Graph-based Fake Account Detection: A Survey Markov-driven graph convolutional networks for social spammer detection,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.977975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.308757Z digest=sha256:ebae7e743f6a7a4d6fdee6e362fa6cd82de6b8158a411ccda624ba6bedcb3964

Observation 67f855be-014f-4768-8dab-a47f6b039152 · outbound

This paper cites Multi-modal social bot detection: Learning homophilic and heterophilic connections adaptively,.

Graph-based Fake Account Detection: A Survey Multi-modal social bot detection: Learning homophilic and heterophilic connections adaptively,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.969817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.311682Z digest=sha256:ee9272e7aa364ec10d9c43108bc5608a812a9a1789daefad2d9c4fa656abad8f

Observation 53db1b6f-6d5b-44b1-9c70-30f26b9a5aab · outbound

This paper cites Cgnn: a compatibility-aware graph neural network for social media bot detection,.

Graph-based Fake Account Detection: A Survey Cgnn: a compatibility-aware graph neural network for social media bot detection,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.962540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.314781Z digest=sha256:6d33c5419ca7a47676a7a9413acfffcdcadf3364d1b92a477d2cd889bfe04455

Observation d2e4bdd4-2ace-418b-b2e3-830be353af2c · outbound

This paper cites Dispelling the fake: Social bot detection based on edge confidence evaluation,.

Graph-based Fake Account Detection: A Survey Dispelling the fake: Social bot detection based on edge confidence evaluation,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.953591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.317248Z digest=sha256:c05fa0a882b05fcc9caaa91cb159b5bf0da61811b1f8e919bba98347d57c70ec

Observation e394272e-7268-47b7-ac4b-5f256b270eae · outbound

This paper cites Semi-supervised social bot detection with initial residual relation attention networks,.

Graph-based Fake Account Detection: A Survey Semi-supervised social bot detection with initial residual relation attention networks,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.945904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.319754Z digest=sha256:b1dca68c85c20278f071d405fd3d3de85661604cecc21943f1b41e74674e82e9

Observation 8fbf57d9-0749-45b9-8179-b2d7dff4b4ad · outbound

This paper cites HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention.

Graph-based Fake Account Detection: A Survey HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:04:40.517195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.322724Z digest=sha256:34afeb2667c5bb5002b6e016c42b575ee43c002ec6da03f63d7b00f040402bdd

Observation 25673421-b4d4-4329-a769-9aaa4f476aff · outbound

This paper cites Bot prediction on social networks of twitter in altmetrics using deep graph convolutional networks,.

Graph-based Fake Account Detection: A Survey Bot prediction on social networks of twitter in altmetrics using deep graph convolutional networks,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.938901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.325773Z digest=sha256:30e6251c246e11b2c753c16df6f1a5ade6ea7588a960a81e5c8e456996fb79e2

Observation 3c4b23ef-39cb-4624-b342-0c58386d23a0 · outbound

This paper cites Accou2vec: a social bot detection model based on community walk,.

Graph-based Fake Account Detection: A Survey Accou2vec: a social bot detection model based on community walk,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.931261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.328284Z digest=sha256:8040d220433569fac8df897059c8f8a653a65fdec0a49a0940a31c1ebf175308

Observation 8a60d18f-ee71-4f5f-b7c8-20837eda0319 · outbound

This paper cites Segcn: a subgraph encoding based graph convolutional network model for social bot detection,.

Graph-based Fake Account Detection: A Survey Segcn: a subgraph encoding based graph convolutional network model for social bot detection,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.923588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.331614Z digest=sha256:9fbb1f57e92e1e9b43c96adb0d6dcf92b4ba359c536f57b988517f44970ea756

Observation 86a92b62-df47-4d66-9a45-24ab06b241da · outbound

This paper cites Bsg4bot: Efficient bot detection based on biased heterogeneous subgraphs,.

Graph-based Fake Account Detection: A Survey Bsg4bot: Efficient bot detection based on biased heterogeneous subgraphs,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.915166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.333922Z digest=sha256:c3caa7c227ae4eeadb00aeed93b1ae45036252a2f4d65b8d3b3f2357b39be723

Observation 4f15b1d2-7362-4afa-97bb-8c8b8158ee55 · outbound

This paper cites Modeling relational data with graph convolutional networks,.

Graph-based Fake Account Detection: A Survey Modeling relational data with graph convolutional networks,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.908167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.336448Z digest=sha256:d6a5930a95c702be96533031d5f1bbc6a848c1e1eb1036bfe7fbb3289d3ff94e

Observation 25d9aac8-e08b-454a-9b07-d84ced7435a1 · outbound

This paper cites Botrgcn: Twitter bot detection with relational graph convolutional networks,.

Graph-based Fake Account Detection: A Survey Botrgcn: Twitter bot detection with relational graph convolutional networks,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.901206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.338950Z digest=sha256:f99f096dc9ee22b863eb9fe5a4ffc0af51f1b10787ad182837b98c02e47f7818

Observation 2174cd80-f125-4086-827c-89680faa718d · outbound

This paper cites Integrating higher-order relations for enhanced twitter bot detection,.

Graph-based Fake Account Detection: A Survey Integrating higher-order relations for enhanced twitter bot detection,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.893670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.341507Z digest=sha256:041b15d2caa613b3b78dd45ad867d0a7f9a6cb00d7126026fa0e12970e038212

Observation e60f04ef-d4be-4bf7-870c-6282dc022db1 · outbound

This paper cites A graph neural architecture search approach for identifying bots in social media,.

Graph-based Fake Account Detection: A Survey A graph neural architecture search approach for identifying bots in social media,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.886553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.344039Z digest=sha256:90418afb33fed3c7a390208784193d758b76b5b87c67ad326a58eb25cccc672b

Observation 6b46fa52-163e-4b25-a268-a65254fa02ec · outbound

This paper cites Botrga: Neighborhood-aware twitter bot detection with relational graph aggregation,.

Graph-based Fake Account Detection: A Survey Botrga: Neighborhood-aware twitter bot detection with relational graph aggregation,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:04:40.878960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:04:40.347384Z digest=sha256:123f8fbab1f921b1799d3cfba2bc41a52b2e925b1d41d5cab8efe4e3280f32d6

Pith citing papers

No inbound Pith citation observations are available.