Academia.edu Social Network
Academia.edu is a platform on which academics share research papers. This is the network of links between its members as Network Repository distributes it, as soc-academia, in a two-column edge list; the creators credited here are the authors of the paper that Network Repository cites for it. This copy holds 1,398,063 links among 200,169 members.
Cite this dataset at
academia-edu.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.
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
- 1,398,063 (directed)
- 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
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-09, 18.5 MB across 2 files. Checksums in MANIFEST.json. For use, start with the data package below.
- Data package
- Version 1.0.0 of this dataset as an ECHO Data Package: edges (1,398,063 rows).
- Structure
- Directed network
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×
Show all 10
- 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.