LiveJournal Emotions Dataset (Jin & Zafarani 2017)
A LiveJournal (blogging social network) dataset of 12,404,868 emotion-labeled posts from 115,444 users with 106,577 nodes and 961,392 friendship/follower edges, collected by Jin & Zafarani via LiveJournal API, distributed by Data Lab SU. Each record contains user ID, emotion label (-1=negative/0=neutral/1=positive), timestamp, friendship edges, follower edges, community membership. 12,404,868 LiveJournal posts labeled with trichotomous emotion scores across 115,444 users — uniquely combines social network structure (friendship + follower graphs) with per-post emotion labels and community membership for studying emotion propagation in networks. Suitable for emotion propagation in social networks, community emotion analysis, sentiment diffusion, social influence on emotion, network-based mood modeling.
Cite this dataset at
livejournal-emotions.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-emotions- 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
- 12,404,868
- Nodes
- 106,577
- Edges
- 961,392 (directed)
- Attributes
- nodes have no attributes; edges have attributes
- Languages
- en
- Collected
- 2006-2012 (2000s, 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://datalab.syr.edu unverified
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 68.2 MB across 1 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, Zarema 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 2026-10-19.
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{jin2017emotions,
title = {Emotions in Social Networks: Distributions, Patterns, and Models},
author = {Jin, Shengmin and Zafarani, Reza},
booktitle = {CIKM},
year = {2017}
} 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 Emotions Dataset (Jin & Zafarani 2017) [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 Emotions Dataset (Jin & Zafarani 2017). 2017, doi.org/10.1145/3132847.3132932.