LiveJournal Rich Social Network (Emotion Dataset)
A LiveJournal social network of 106,577 users and 961,392 directed edges (793,948 follower links and 246,164 friendship links), from a crawl of the users within three hops of the seed user krazykitkat, pre-processed for the paper 'Emotions in Social Networks: Distributions, Patterns, and Models' (Jin and Zafarani): only users with 10 or more posts carrying a predefined LiveJournal mood were kept, and user ids are anonymized. This copy holds the two network files (Friendship.txt, Followers.txt) and the release README; the per-post mood file (Posts.txt) and community memberships (Community.txt) that the README describes are not included. Suitable for social network structure, follower and friendship analysis, community detection, social influence modeling.
Cite this dataset at
livejournal-rich.echo.directory
Analytics
The full graph has 106,577 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
livejournal-rich- Authors
- Jin, Shengmin; Zafarani, Reza
- Year
- 2017
- Source paper
- Emotions in Social Networks: Distributions, Patterns, and Models
- DOI / arXiv
- 10.1145/3132847.3132932
- License
- Academic use — cite paper (LicenseRef-Research-Only)
- Records
- 106,577
- Nodes
- 106,577
- Edges
- 961,392 (directed)
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2012 (2010s)
- Tasks
- Emotion classification inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://networkrepository.com/soc-livejournal-rich.php link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 12.0 MB across 3 files. Checksums in MANIFEST.json.
Citations
Emotions in Social Networks: Distributions, Patterns, and Models
Shengmin Jin, R. Zafarani
Book · International Conference on Information and Knowledge Management · 2017
Cited by
- Sentiment Prediction in Social Networks
Shengmin Jin, R. Zafarani · 2018 IEEE International Conference on Data Mining Workshops (ICDMW) · 2018 · cited 8× - Characterizing Politically Engaged Users' Behavior During the 2016 US Presidential Campaign
J. Caetano, Jussara M. Almeida et al. · International Conference on Advances in Social Networks Analysis and Mining · 2018 · cited 8× - Sentiment Paradoxes in Social Networks: Why Your Friends Are More Positive Than You?
Xinyi Zhou, Shengmin Jin et al. · International Conference on Web and Social Media · 2020 · cited 7× - A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks
Sree Bhattacharyya, Shuhua Yang et al. · Affective Computing and Intelligent Interaction · 2024 · cited 5× - Representing Networks with 3D Shapes
Shengmin Jin, R. Zafarani · Industrial Conference on Data Mining · 2018 · cited 4×
Show all 10
- Proximity within adolescent peer networks predicts neural similarity during affective experience
M. Feldman, Jimmy Capella et al. · Social Cognitive and Affective Neuroscience · 2024 · cited 3× - Inferring links in directed complex networks through feed forward loop motifs
Satyaki Roy, Ahmad F. Al Musawi et al. · Humanities and Social Sciences Communications · 2023 · cited 3× - Analysis of the users’ emotional state in social networks
B. Yergesh, Lyaila Kenzhina · 2021 · cited 3× - Language and emotional domains: the environmentally sustainable behaviour of digital youth
Y. Petrova, Z. Temirkhanova et al. · E3S Web of Conferences · 2023 · cited 1× - TeruBot: Materializing Collective Emotions Through an Embodied Robotic Metaphor
F. Lam, Ryu Osada et al. · CHI Extended Abstracts · 2026 · cited 0×
Citation data from Semantic Scholar, retrieved 2026-10-22.
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{Jin_2017,
series = {CIKM ’17},
title = {Emotions in Social Networks: Distributions, Patterns, and Models},
url = {http://dx.doi.org/10.1145/3132847.3132932},
doi = {10.1145/3132847.3132932},
booktitle = {Proceedings of the 2017 ACM on Conference on Information and Knowledge Management},
publisher = {ACM},
author = {Jin, Shengmin and Zafarani, Reza},
year = {2017},
month = Nov,
pages = {1907–1916},
collection = {CIKM ’17}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Jin, S., & Zafarani, R. (2017). LiveJournal Rich Social Network (Emotion Dataset) [Data set]. https://doi.org/10.1145/3132847.3132932
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Jin, Shengmin, and Reza Zafarani. LiveJournal Rich Social Network (Emotion Dataset). 2017, doi.org/10.1145/3132847.3132932.