On the public citation graph
We know who you followed last summer
0 signed · 82 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.socnet.2005.05.001openalex-snapshot
On the robustness of centrality measures under conditions of imperfect data
inferredcites →https://doi.org/10.1063/1.1996475openalex-snapshot
Citation Statistics from 110 Years of Physical Review
inferredcites →https://doi.org/10.1080/10888700902720045openalex-snapshot
Epidemiological Evaluation of Pain in Swine Herds
inferredcites →https://doi.org/10.1109/socialcom.2010.22openalex-snapshot
Structural Predictors of Tie Formation in Twitter: Transitivity and Mutuality
inferredcites →https://doi.org/10.1137/070710111openalex-snapshot
Power-Law Distributions in Empirical Data
inferredcites →https://doi.org/10.1137/s003614450342480openalex-snapshot
The Structure and Function of Complex Networks
inferredcites →https://doi.org/10.1145/1150402.1150476openalex-snapshot
Structure and evolution of online social networks
inferredcites →https://doi.org/10.1145/1298306.1298311openalex-snapshot
Measurement and analysis of online social networks
inferredcites →https://doi.org/10.1145/1401890.1401948openalex-snapshot
Microscopic evolution of social networks
inferredcites →https://doi.org/10.1145/1772690.1772751openalex-snapshot
What is Twitter, a social network or a news media?
inferredcites →https://doi.org/10.1184/r1/6586835.v1openalex-snapshot
Power-law distributions in empirical data
inferredcites →https://doi.org/10.1209/epl/i2003-00166-9openalex-snapshot
Measuring preferential attachment in evolving networks
inferredcites →https://doi.org/10.1609/icwsm.v4i1.14015openalex-snapshot
The Directed Closure Process in Hybrid Social-Information Networks, with an Analysis of Link Formation on Twitter
inferredcites →https://doi.org/10.1609/icwsm.v4i1.14027openalex-snapshot
Sequential Influence Models in Social Networks
inferredcites →https://doi.org/10.2139/ssrn.1313405openalex-snapshot
Social Networks that Matter: Twitter Under the Microscope
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.3435151openalex-extracted
Competing on Twitter: What Works and Why?
inferred← citeshttps://doi.org/10.1002/widm.1453openalex-snapshot
Mining the online infosphere: A survey
inferred← citeshttps://doi.org/10.1007/978-3-031-08242-9_8openalex-snapshot
Inferring Degree of Localization and Popularity of Twitter Topics and Persons Using Temporal Features
inferred← citeshttps://doi.org/10.1007/978-3-319-12188-8_6openalex-snapshot
An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity or the Semantic Richness
inferred← citeshttps://doi.org/10.1007/978-3-642-29253-8_71openalex-snapshot
Characterizing Topic-Specific Hashtag Cascade in Twitter Based on Distributions of User Influence
inferred← citeshttps://doi.org/10.1007/978-3-642-32891-6_33openalex-snapshot
Finding Topic-Related Tweets Using Conversational Thread
inferred← citeshttps://doi.org/10.1007/978-3-642-41154-0_7openalex-snapshot
iPLUG: Personalized List Recommendation in Twitter
inferred← citeshttps://doi.org/10.1007/s13218-012-0232-1openalex-snapshot
Can Computers Learn from the Aesthetic Wisdom of the Crowd?
inferred← citeshttps://doi.org/10.1007/s13278-014-0231-3openalex-snapshot
Detecting anomalies in social network data consumption
inferred← citeshttps://doi.org/10.1007/s13278-016-0344-yopenalex-snapshot
A significant core structure inside the social network evolutionary process
inferred← citeshttps://doi.org/10.1007/s13278-018-0490-5openalex-snapshot
Utilizing the average node degree to assess the temporal growth rate of Twitter
inferred← citeshttps://doi.org/10.1016/j.bdr.2020.100145openalex-snapshot
Data-Driven Computational Social Science: A Survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114006openalex-snapshot
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
inferred← citeshttps://doi.org/10.1017/pan.2017.6openalex-snapshot
Longitudinal Network Centrality Using Incomplete Data
inferred← citeshttps://doi.org/10.1080/10584609.2017.1334018openalex-snapshot
Political Fact-Checking on Twitter: When Do Corrections Have an Effect?
inferred← citeshttps://doi.org/10.1108/jarhe-01-2015-0002openalex-snapshot
Birds of a feather: the geographic interconnection of Australian universities on Twitter
inferred← citeshttps://doi.org/10.1109/allerton.2019.8919702openalex-snapshot
TwitterMancer: Predicting User Interactions on Twitter
inferred← citeshttps://doi.org/10.1109/asonam.2014.6921585openalex-snapshot
Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data
inferred← citeshttps://doi.org/10.1109/asonam49781.2020.9381355openalex-snapshot
Improving Geocoding of a Twitter User Group using their Account Creation Times and Languages
inferred← citeshttps://doi.org/10.1109/cgc.2012.99openalex-snapshot
Finding Popular Friends in Social Networks
inferred← citeshttps://doi.org/10.1109/dasc.2011.141openalex-snapshot
Finding Strong Groups of Friends among Friends in Social Networks
inferred← citeshttps://doi.org/10.1109/iaeac.2018.8577725openalex-snapshot
The Research of Micro-blog User Influence Ranking Algorithm SDD-rank
inferred← citeshttps://doi.org/10.1109/icc.2014.6883936openalex-snapshot
A data-driven study of influences in Twitter communities
inferred← citeshttps://doi.org/10.1109/icpads.2011.50openalex-snapshot
Data Selection for User Topic Model in Twitter-Like Service
inferred← citeshttps://doi.org/10.1109/passat/socialcom.2011.59openalex-snapshot
Anti-preferential Attachment: If I Follow You, Will You Follow Me?
inferred← citeshttps://doi.org/10.1109/services.2014.40openalex-snapshot
A Platform for Analysing Stream and Historic Data with Efficient and Scalable Design Patterns
inferred← citeshttps://doi.org/10.1109/sitis.2014.68openalex-snapshot
Co-evolutionary Dynamics in Social Networks: A Case Study of Twitter
inferred← citeshttps://doi.org/10.1109/tbdata.2018.2872532openalex-snapshot
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories
inferred← citeshttps://doi.org/10.1140/epjds/s13688-024-00499-6openalex-snapshot
Unsupervised detection of coordinated fake-follower campaigns on social media
inferred← citeshttps://doi.org/10.1145/2169095.2169097openalex-snapshot
Analyzing patterns of information cascades based on users' influence and posting behaviors
inferred← citeshttps://doi.org/10.1145/2309996.2310043openalex-snapshot
Semantics + filtering + search = twitcident. exploring information in social web streams
inferred← citeshttps://doi.org/10.1145/2396761.2396885openalex-snapshot
Predicting aggregate social activities using continuous-time stochastic process
inferred← citeshttps://doi.org/10.1145/2567948.2577330openalex-snapshot
Evolutionary analysis on online social networks using a social evolutionary game
inferred← citeshttps://doi.org/10.1145/2591971.2591985openalex-snapshot
Studying social networks at scale
inferred← citeshttps://doi.org/10.1145/2637364.2591985openalex-snapshot
Studying social networks at scale
inferred← citeshttps://doi.org/10.1145/2660460.2660461openalex-snapshot
"I knew they clicked when i saw them with their friends"
inferred← citeshttps://doi.org/10.1145/2908446.2908463openalex-snapshot
Towards Feature Selection for Cascade Growth Prediction on Twitter
inferred← citeshttps://doi.org/10.1145/3091478.3098877openalex-snapshot
Understanding Para Social Breakups on Twitter
inferred← citeshttps://doi.org/10.1145/3465336.3475106openalex-snapshot
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights
inferred← citeshttps://doi.org/10.1145/3479591openalex-snapshot
Moving with the Times: Investigating the Alt-Right Network Gab with Temporal Interaction Graphs
inferred← citeshttps://doi.org/10.1145/3501247.3531547openalex-snapshot
Evaluating Digital Polarization in Multi-Party Systems: Evidence from the German Bundestag
inferred← citeshttps://doi.org/10.1145/3589335.3651564openalex-snapshot
SWATTING Spambots: Real-time Detection of Malicious Bots on X
inferred← citeshttps://doi.org/10.1177/0149206319862027openalex-snapshot
Validity Concerns in Research Using Organic Data
inferred← citeshttps://doi.org/10.1186/s40649-015-0023-6openalex-snapshot
Co-evolutionary dynamics in social networks: a case study of Twitter
inferred← citeshttps://doi.org/10.13328/j.cnki.jos.004721openalex-snapshot
Overlapping Community Discovery and Global Representation on MicroBlog Network
inferred← citeshttps://doi.org/10.1561/106.00000008openalex-snapshot
It’s All About Information? The Following Behaviour of Professors and PhD Students in Computer Science on Twitter
inferred← citeshttps://doi.org/10.1609/icwsm.v15i1.18131openalex-snapshot
Evolution of Retweet Rates in Twitter User Careers: Analysis and Model
inferred← citeshttps://doi.org/10.2196/jmir.4480openalex-snapshot
Follow #eHealth2011: Measuring the Role and Effectiveness of Online and Social Media in Increasing the Outreach of a Scientific Conference
inferred← citeshttps://doi.org/10.23919/jsc.2021.0011openalex-snapshot
From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
inferred← citeshttps://doi.org/10.3390/fi6020378openalex-snapshot
Tweet My Street: A Cross-Disciplinary Collaboration for the Analysis of Local Twitter Data
inferred← citeshttps://doi.org/10.3390/fi8020012openalex-snapshot
A Method for Assessing the Performance of e-Government Twitter Accounts
inferred← citeshttps://doi.org/10.4135/978144627305013516710openalex-snapshot
Identifying the Events That Connect Social Media Users: Charting Follower Accession on Twitter
inferred← citeshttps://doi.org/10.48550/arxiv.1510.01091openalex-snapshot
Evolving Twitter: an experimental analysis of graph properties of the social graph
inferred← citeshttps://doi.org/10.48550/arxiv.1705.09087openalex-snapshot
Characterizing Fan Behavior to Study Para Social Breakups
inferred← citeshttps://doi.org/10.48550/arxiv.1904.11119openalex-snapshot
TwitterMancer: Predicting Interactions on Twitter Accurately
inferred← citeshttps://doi.org/10.48550/arxiv.1909.10966openalex-snapshot
Hate begets Hate: A Temporal Study of Hate Speech
inferred← citeshttps://doi.org/10.70675/a55e3860z6c58z4523zb78fz72fe84028fbaopenalex-snapshot
Political Homophily and the Role of Retweeters in the French Twitter Network
inferred← citeshttps://doi.org/10.7916/d8h99hnxopenalex-snapshot
The Cost of Sharing Information in a Social World
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.