Academia.edu Social Network
A Academia.edu dataset of 200,169 academics, 1,022,883 connections, collected by Fire et al. (2011) via Academia.edu platform. Each record contains undirected edges between academics, representing follows or connections between researchers on the platform. Academic social network capturing researcher connections on Academia.edu, a platform for sharing research papers and tracking scholarly impact. Suitable for link prediction, academic network analysis, scholarly collaboration studies, research impact analysis.
Cite this dataset at
academia.echo.directory
Analytics
The full graph has 200,169 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
academia- Authors
- Fire, M.; Tenenboim, L.; Lesser, O.; Puzis, R.; Rokach, L.; Elovici, Y.
- Year
- 2011
- Source paper
- Link Prediction in Social Networks using Computationally Efficient Topological Features
- DOI / arXiv
- 10.1145/2542182.2542192
- License
- See source page for citation/usage terms.
- Records
- 200,169
- Nodes
- 200,169
- Edges
- 1,022,883
- Nodes are
- user
- Edges are
- follow
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2011 (2010s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://networkrepository.com/soc-academia.php link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 18.5 MB across 2 files. Checksums in MANIFEST.json.
Citations
Computationally efficient link prediction in a variety of social networks
M. Fire, L. Tenenboim-Chekina, Rami Puzis, O. Lesser, L. Rokach
Journal Article · ACM Transactions on Intelligent Systems and Technology · 2013
Cited by
- Stacking models for nearly optimal link prediction in complex networks
Amir Ghasemian, Homa Hosseinmardi et al. · Proceedings of the National Academy of Sciences of the United States of America · 2019 · cited 157× - Social networking data analysis tools & challenges
Androniki Sapountzi, K. Psannis · Future generations computer systems · 2016 · cited 149× - Progresses and challenges in link prediction
Tao Zhou · iScience · 2021 · cited 125× - Friend or foe? Fake profile identification in online social networks
M. Fire, Dima Kagan et al. · Social Network Analysis and Mining · 2013 · cited 114× - Organization Mining Using Online Social Networks
M. Fire, Rami Puzis et al. · Networks and Spatial Economics · 2013 · cited 98×
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- Path extension similarity link prediction method based on matrix algebra in directed networks
Feipeng Guo, Wei Zhou et al. · Computer Communications · 2022 · cited 87× - Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures
Guy Shtar, L. Rokach et al. · PLoS ONE · 2019 · cited 87× - Link prediction approach combined graph neural network with capsule network
Xiao-Yang Liu, Xiang Li et al. · Expert systems with applications · 2022 · cited 72× - Machine Learning in Network Centrality Measures
Felipe Grando, L. Granville et al. · ACM Computing Surveys · 2018 · cited 67× - Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data
David Toubiana, Rami Puzis et al. · Communications Biology · 2019 · cited 66×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{Fire2011,
title = {Link Prediction in Social Networks using Computationally Efficient Topological Features},
author = {Fire, M. and Tenenboim, L. and Lesser, O. and Puzis, R. and Rokach, L. and Elovici, Y.},
booktitle = {IEEE Third International Conference on Social Computing (SocialCom)},
pages = {73--80},
year = {2011},
organization = {IEEE}
}
@inproceedings{nr,
title = {The Network Data Repository with Interactive Graph Analytics and Visualization},
author = {Ryan A. Rossi and Nesreen K. Ahmed},
booktitle = {AAAI},
url = {https://networkrepository.com},
year = {2015}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Fire, M., Tenenboim, L., Lesser, O., Puzis, R., Rokach, L., & Elovici, Y. (2011). Academia.edu Social Network [Data set]. https://doi.org/10.1145/2542182.2542192
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Fire, M., et al. Academia.edu Social Network. 2011, doi.org/10.1145/2542182.2542192.