Timestamps

48 datasets tagged as the tag “Timestamps”.

48 datasets.

Delicious Tag-Item Bipartite Network Analyzed

A Delicious social bookmarking platform (tag-item network) dataset of 38,289,740 nodes and 137,240,382 edges, collected by KONECT via Delicious API. Each record contains directed: False, weighted: True, temporal: True. Massive temporal bipartite network of Delicious tags and bookmarked items — 301M edges across 38M tags and items with Unix timestamps.. Suitable for social tagging analysis, folksonomy research, tag-item recommendation.

38.3M records38.3M nodes137.2M edges2008

Delicious User-Item Bipartite Network Analyzed

A Delicious social bookmarking platform (user-item network) dataset of 34,611,302 nodes and 101,798,957 edges, collected by KONECT via Delicious API. Each record contains directed: False, weighted: True, temporal: True. Massive temporal bipartite network of Delicious users and bookmarked URLs — 301M edges across 35M users and items with Unix timestamps.. Suitable for social bookmarking analysis, recommendation systems, large-scale bipartite networks.

34.6M records34.6M nodes101.8M edges2008

4chan /pol/ General Threads Dataset Analyzed

Posts from 329 thematically distinct 'general' thread collections on 4chan's /pol/ board, November 2013 to May 2019, released by Emilija Jokubauskaitė and Stijn Peeters (Zenodo 3603292). 13,756,579 posts in 58,687 threads, one CSV per general plus an index file. Each row holds the thread ID, post ID, timestamp, body text, subject, poster name, image file name and MD5, and the poster's country code and name. Suitable for studying recurring political discussion threads, propaganda, hate speech and online subcultures.

13.8M records2020

Delicious User-Tag Bipartite Network Analyzed

A Delicious social bookmarking platform (user-tag network) dataset of 5,345,180 nodes and 81,989,133 edges, collected by KONECT via Delicious API. Each record contains directed: False, weighted: True, temporal: True. Massive temporal bipartite network of Delicious users and tags they used — 301M edges across 5.3M users and tags with Unix timestamps.. Suitable for social tagging analysis, folksonomy research, large-scale bipartite networks.

5.3M records5.3M nodes82M edges2008

Instagram Influencer Dataset — Fashion Analyzed

A Instagram (fashion influencers) dataset of 3,411,944 posts from fashion influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the fashion category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.

3.4M records2020

Amazon Product Rating Network Analyzed

A Amazon.com (product reviews and ratings) dataset of 3,376,972 nodes and 5,743,258 edges, collected by J. McAuley & J. Leskovec via Amazon product pages. Each record contains directed: False, weighted: True, temporal: True. Large bipartite user-product rating network with timestamps and 1-5 star ratings — 5.8M edges across 2.1M users and 1.2M products.. Suitable for recommender systems, rating prediction, bipartite network analysis, e-commerce research.

3.4M records3.4M nodes5.7M edges2010

YouTube Social Network Growth Analyzed

A YouTube (user social network growth over time) dataset of 3,223,585 nodes and 9,375,374 edges, collected by A. Mislove et al. via YouTube API. Each record contains directed: False, weighted: True, temporal: True. Temporal undirected YouTube friendship network showing how the social graph grew over time — 9.4M edges with Unix timestamps.. Suitable for temporal network analysis, social network growth modeling, YouTube social dynamics.

3.2M records3.2M nodes9.4M edges2009

Wikipedia English Talk Page Network Analyzed

A Wikipedia (English edition talk pages) dataset of 2,987,535 nodes and 9,379,561 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia English talk page interactions between editors.. Suitable for wiki collaboration analysis, temporal network analysis, community detection.

3M records3M nodes9.4M edges2016

Manosphere Dataset — Incels.co Analyzed

A Incels.co (manosphere forum) dataset of 2,436,297 posts from 5,933 unique authors across 117,592 threads, collected by Farrell et al. via web crawl (2019-2020). Each record contains post text, author username, author title/flair, join date, post count, post timestamp, thread URL, reply interactions, embedded links. Incels.co dataset contains 2,436,297 forum posts from 2017-11 to 2019-06, part of the iDRAMA manosphere collection covering incel and anti-feminist communities. Suitable for misogyny detection, hate speech research, radicalization analysis, manosphere community studies, extremist forum analysis, NLP classification, social network analysis.

2.4M records123.5K nodes1.7M edges2021

Wikipedia Hyperlink Growth Network Analyzed

A Wikipedia (English edition hyperlink growth) dataset of 1,870,709 nodes and 39,953,145 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, temporal: True. Temporal directed network showing how Wikipedia's hyperlink structure grew over time — edges carry Unix timestamps of when links were added.. Suitable for temporal network analysis, knowledge graph evolution, Wikipedia growth modeling.

1.9M records1.9M nodes40M edges2009

Instagram Influencer Dataset — Other Analyzed

A Instagram (other influencers) dataset of 1,625,526 posts from other influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the other category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.

1.6M records2020

Wikipedia French Talk Page Network Analyzed

A Wikipedia (French edition talk pages) dataset of 1,420,367 nodes and 2,471,501 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia French talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

1.4M records1.4M nodes2.5M edges2016

Wikipedia Chinese Talk Page Network Analyzed

A Wikipedia (Chinese edition talk pages) dataset of 1,219,241 nodes and 1,735,118 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Chinese talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

1.2M records1.2M nodes1.7M edges2016

Wikipedia Arabic Talk Page Network Analyzed

A Wikipedia (Arabic edition talk pages) dataset of 1,095,799 nodes and 1,564,598 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Arabic talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

1.1M records1.1M nodes1.6M edges2016

LastFM User-Song Listening Network Analyzed

A Last.fm music streaming and social platform dataset of 1,084,620 nodes and 4,413,416 edges, collected by KONECT via Last.fm API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of Last.fm users and individual songs they listened to, with Unix timestamps per play event.. Suitable for music recommendation, temporal bipartite networks, song preference analysis.

1.1M records1.1M nodes4.4M edges2008

Wikipedia Italian Talk Page Network Analyzed

A Wikipedia (Italian edition talk pages) dataset of 863,846 nodes and 1,661,453 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Italian talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

863.8K records863.8K nodes1.7M edges2016

CiteULike Academic Bookmarking Network Analyzed

A CiteULike academic social bookmarking platform dataset of 754,484 nodes and 842,426 edges, collected by KONECT via CiteULike API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of CiteULike users and academic papers they saved, with Unix timestamps.. Suitable for academic recommendation, social bookmarking analysis, collaborative filtering.

754.5K records754.5K nodes842.4K edges2007

Twitter User-Hashtag Bipartite Network (Munmun) Analyzed

A Twitter (user-hashtag interactions) dataset of 705,632 nodes and 1,890,661 edges, collected by Munmun De Choudhury et al. via Twitter API. Each record contains directed: False, weighted: True, signed: False, temporal: True. Bipartite temporal network linking Twitter users to hashtags they used, with Unix timestamps. Useful for studying hashtag adoption, information diffusion, and user interest modeling.. Suitable for hashtag analysis, bipartite network analysis, information diffusion.

705.6K records705.6K nodes1.9M edges2010

Wikipedia Portuguese Talk Page Network Analyzed

A Wikipedia (Portuguese edition talk pages) dataset of 541,355 nodes and 1,463,308 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Portuguese talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

541.4K records541.4K nodes1.5M edges2016

Wikipedia German Talk Page Network Analyzed

A Wikipedia (German edition talk pages) dataset of 519,403 nodes and 1,751,343 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia German talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

519.4K records519.4K nodes1.8M edges2016

Wikipedia Spanish Talk Page Network Analyzed

A Wikipedia (Spanish edition talk pages) dataset of 497,446 nodes and 1,250,097 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Spanish talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

497.4K records497.4K nodes1.3M edges2016

Wikipedia Russian Talk Page Network Analyzed

A Wikipedia (Russian edition talk pages) dataset of 457,017 nodes and 919,790 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Russian talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

457K records457K nodes919.8K edges2016

Wikipedia Dutch Talk Page Network Analyzed

A Wikipedia (Dutch edition talk pages) dataset of 225,749 nodes and 565,477 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia Dutch talk page interactions between editors.. Suitable for wiki collaboration analysis, multilingual network analysis.

225.7K records225.7K nodes565.5K edges2016

BibSonomy Social Bookmarking Network Analyzed

A BibSonomy academic social bookmarking platform dataset of 210,467 nodes and 453,987 edges, collected by KONECT via BibSonomy API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of BibSonomy users and publications they bookmarked, with Unix timestamps.. Suitable for social bookmarking analysis, academic recommendation, temporal bipartite networks.

210.5K records210.5K nodes454K edges2010

StackExchange SuperUser Interaction Network Analyzed

A StackExchange SuperUser (technical Q&A community) dataset of 194,085 users and 1,443,339 directed interaction edges, collected by Paranjape, Benson & Leskovec via SNAP (2017). Each record contains source user ID, target user ID, Unix timestamp of interaction. Temporal directed interaction network from SuperUser covering answers, comments on answers, and comments on questions — three types of user interactions collapsed into a single edge list with Unix timestamps.. Suitable for temporal network analysis, Q&A community structure, motif detection, information flow in technical communities.

194.1K records194.1K nodes924.9K edges2017

LastFM User-Band Listening Network Analyzed

A Last.fm music streaming and social platform dataset of 174,077 nodes and 894,472 edges, collected by KONECT via Last.fm API. Each record contains directed: False, weighted: True, temporal: True. Temporal bipartite network of Last.fm users and bands they listened to, with Unix timestamps per play event.. Suitable for music recommendation, temporal bipartite networks, listening behavior analysis.

174.1K records174.1K nodes894.5K edges2008

Ask Ubuntu Answer-to-Question Network Analyzed

A StackExchange Ask Ubuntu (Linux/Ubuntu Q&A community) dataset of 137,517 users and 280,102 directed interaction edges, collected by Paranjape, Benson & Leskovec via SNAP (2017). Each record contains source user ID, target user ID, Unix timestamp of interaction. Temporal directed network of answer-to-question interactions on Ask Ubuntu — edges connect answering users to question-asking users with Unix timestamps, capturing the flow of technical knowledge.. Suitable for Q&A network analysis, temporal interaction patterns, community detection, knowledge flow in technical communities.

137.5K records137.5K nodes262.1K edges2017

Prosper Peer-to-Peer Lending Trust Network Analyzed

A Prosper.com (peer-to-peer lending platform) dataset of 89,269 nodes and 3,330,225 edges, collected by KONECT via Prosper API. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed trust network from a peer-to-peer lending platform where users vouch for borrowers. Temporal edges with Unix timestamps enable longitudinal trust propagation analysis.. Suitable for trust network analysis, temporal network analysis, peer-to-peer lending.

89.3K records89.3K nodes3.3M edges2013

Social Bookmarking Dataset — GiveALink November 2009 Analyzed

A Delicious dataset of 61,665 bookmarks, collected by OSoMe / GiveALink project, November 2009. Each record contains bookmark URL, timestamp, user tags. Daily Delicious social bookmarking snapshots from November 2009; each bookmark includes URL, Unix timestamp, and free-form user tags.. Suitable for Social bookmarking analysis, tag-based topic modeling, information diffusion, temporal content analysis..

61.7K records2006

Brightkite Location-Based Social Network Analyzed

A Brightkite (location-based social network) dataset of 58,228 users, 214,078 friendship edges, and 4.49M check-ins, collected by Cho et al. via Brightkite API (2008-2010). Each record contains undirected friendship edges, check-in records (timestamp, latitude, longitude, location_id). The dataset is notable for its location-based social network with rich spatiotemporal check-in data for mobility research. Intended for research into human mobility analysis, location-based social networks, friendship prediction, and urban computing.

58.2K records58.2K nodes214.1K edges2011

Reddit Hyperlink Network (Title) Analyzed

A Reddit dataset of 54,075 subreddits and 571,927 directed hyperlinks (510,787 positive sentiment, 61,140 negative sentiment) from post hyperlinks embedded in post titles, collected by Kumar et al. via Reddit API, January 2014 to April 2017, distributed by SNAP. Each record contains directed edges from source to target subreddit with binary sentiment label (+1/-1) and 86-dimension text property vector; post ID and timestamp per edge. captures cross-community interaction and conflict on Reddit with sentiment polarity per hyperlink, enabling study of how communities reference each other positively vs. antagonistically over time. Suitable for community conflict detection, cross-community interaction modeling, signed network analysis, temporal network analysis, and online community dynamics research.

54.1K records54.1K nodes234.8K edges2018

Higgs Boson Twitter Reply Network Analyzed

A Twitter dataset of 38,918 users and 32,523 directed, weighted reply edges (36,902 replies in all), collected by De Domenico et al. via the Twitter Streaming API around the Higgs boson announcement, 1-7 July 2012. Each record holds the replying user ID, the replied-to user ID and the number of replies between them. Complements the Higgs retweet and mention networks from the same collection. Suitable for information diffusion, scientific communication on social media and reply network structure.

38.9K records38.9K nodes32.5K edges2013

MySpace Dialogues Network Analyzed

A MySpace dataset of 80,749 messages between 36,459 users (41,533 directed user pairs) over two months, collected by Šuvakov et al. (Dryad, 2013). Each record holds the sender, the recipient, the time in minutes since the start of the window, and the message's SentiStrength positive (1 to 5) and negative (-1 to -5) scores. Suitable for sentiment dynamics, dialogue patterns and temporal network analysis.

36.5K records36.5K nodes41.5K edges2013

Reddit Hyperlink Network (Body) Analyzed

A Reddit dataset of 35,776 subreddits and 286,561 directed hyperlinks (265,491 positive sentiment, 21,070 negative sentiment) from post hyperlinks embedded in post bodies, collected by Kumar et al. via Reddit API, January 2014 to April 2017, distributed by SNAP. Each record contains directed edges from source to target subreddit with binary sentiment label (+1/-1) and 86-dimension text property vector; post ID and timestamp per edge. captures cross-community interaction and conflict on Reddit with sentiment polarity per hyperlink, enabling study of how communities reference each other positively vs. antagonistically over time. Suitable for community conflict detection, cross-community interaction modeling, signed network analysis, temporal network analysis, and online community dynamics research.

35.8K records35.8K nodes137.8K edges2018

Internet Topology Network Analyzed

A Internet router topology dataset of 34,761 nodes and 107,720 edges, collected by KONECT via traceroute measurements. Each record contains directed: False, weighted: True. Temporal internet router topology network with Unix timestamps per measurement.. Suitable for internet topology analysis, network robustness, temporal network analysis.

34.8K records34.8K nodes107.7K edges2005

arXiv hep-ph Co-authorship Network Analyzed

The co-authorship network of the arXiv High Energy Physics – Phenomenology (hep-ph) section, as distributed by KONECT (ca-cit-HepPh), from SNAP's arXiv data: 28,093 authors linked by 4,596,803 collaboration records, one for each pair of authors on a paper, published between March 1992 and March 2002. The records form 3,148,447 distinct co-author pairs, each timestamped with its paper's date. Useful for studying scientific collaboration, the growth and densification of networks over time, and community structure.

28.1K records28.1K nodes3.1M edges2007

Linux Kernel Mailing List Reply Network Analyzed

A Linux Kernel Mailing List (LKML) — open source development community dataset of 27,927 nodes and 242,976 edges, collected by Ingo Scholtes et al. via mailing list archive. Each record contains directed: True, weighted: True, signed: False, temporal: True. Temporal directed reply network of the Linux Kernel Mailing List — one of the longest-running and most active open source development communities. Edges carry Unix timestamps enabling longitudinal analysis.. Suitable for temporal network analysis, community detection, open source collaboration.

27.9K records27.9K nodes243K edges2015

Wikipedia Edit Bipartite Network Analyzed

Bipartite user–page edit networks from Wikimedia dumps, as distributed by KONECT; each edge is one edit event with its Unix timestamp. The package holds two separate networks: the French Wikinews (edit-frwikinews: 1,408 users, 25,039 pages, 193,618 edits) and the English Wikipedia (edit-enwiki, 1.75 GB: 8,116,897 users, 42,640,545 pages, 572,591,272 edits per KONECT). The node and edge counts and the analytics on this page were computed from the French Wikinews network only. Suitable for wiki collaboration analysis, editor behavior, temporal bipartite networks.

26.4K records26.4K nodes68.7K edges2010

Math Overflow Temporal Network — All Interactions Analyzed

A Math Overflow (ALL) dataset of 24,818 users and 239,978 temporal edges, collected by Paranjape, Benson, Leskovec via Stack Exchange Data Dump (2017). Each record contains directed temporal edges (all) between users with Unix timestamps. The dataset is notable for its ALL interaction type from a 6.4-year temporal network of academic Q&A. Intended for research into temporal network analysis, motif discovery, social interaction dynamics, and academic community analysis.

24.8K records24.8K nodes240K edges2017

Escorts Review Network Analyzed

A Escort review website (sex worker review community) dataset of 16,730 nodes and 39,044 edges, collected by Rocha et al. via web crawl. Each record contains directed: False, weighted: True, signed: True, temporal: True. Bipartite signed network of escort reviews: clients rate escorts +1 (positive), 0 (neutral), or -1 (negative), with Unix timestamps. One of the few large-scale signed bipartite networks available.. Suitable for signed network analysis, bipartite network analysis, trust propagation.

16.7K records16.7K nodes39K edges2010

Chess Game Outcome Network Analyzed

A Chess game records (professional matches) dataset of 7,301 nodes and 60,046 edges, collected by KONECT via chess game database. Each record contains directed: True, weighted: True, signed: True. Directed network of chess game outcomes: edges go from winner to loser, with timestamps. Draws encoded as 0 weight.. Suitable for competition network analysis, ranking algorithms, temporal network analysis.

7.3K records7.3K nodes60K edges2013

CoAID: COVID-19 Healthcare Misinformation Analyzed

A CoAID (COVID-19 misinformation dataset) dataset of 5,975 news articles and social media posts, collected by Cui and Lee via COVID-19 pandemic (2020-2021). Each record contains news articles, fact-check URLs, binary label (0=real, 1=fake), and temporal data. The dataset is notable for its temporally-structured dataset tracking COVID-19 misinformation evolution. Intended for research into COVID-19 misinformation detection, healthcare communication, and temporal social media analysis.

6K records2020

Bitcoin OTC Web of Trust Network Analyzed

A Bitcoin OTC (peer-to-peer Bitcoin trading platform) dataset of 5,881 users and 35,592 directed weighted trust ratings (32,029 positive, 3,563 negative), collected by Kumar et al. via platform crawl, distributed by SNAP. Each record contains directed weighted signed edges between users: integer rating in [-10, +10] representing trust strength, plus binarized sign (+1/-1) for compatibility with signed network algorithms; Unix timestamps per rating. continuous integer trust weights rather than binary +1/-1 signs, enabling weighted signed network analysis and providing finer-grained trust signal than Epinions or Slashdot while operating in the high-stakes context of peer-to-peer Bitcoin trading. Suitable for weighted signed network analysis, edge weight prediction, trust propagation modeling, fraud detection, reputation system design, and signed graph embedding research.

5.9K records5.9K nodes35.6K edges2016

Bitcoin Alpha Web of Trust Network Analyzed

A Bitcoin Alpha (peer-to-peer Bitcoin trading platform) dataset of 3,783 users and 24,186 directed weighted trust ratings (22,650 positive, 1,536 negative), collected by Kumar et al. via platform crawl, distributed by SNAP. Each record contains directed weighted signed edges between users: integer rating in [-10, +10] representing trust strength, plus binarized sign (+1/-1) for compatibility with signed network algorithms; Unix timestamps per rating. continuous integer trust weights rather than binary +1/-1 signs, enabling weighted signed network analysis and providing finer-grained trust signal than Epinions or Slashdot while operating in the high-stakes context of peer-to-peer Bitcoin trading. Suitable for weighted signed network analysis, edge weight prediction, trust propagation modeling, fraud detection, reputation system design, and signed graph embedding research.

3.8K records3.8K nodes24.2K edges2016

Opsahl UC Irvine Social Network Analyzed

A UC Irvine online messaging system dataset of 1,899 nodes and 20,296 edges, collected by T. Opsahl. Each record contains directed: True, weighted: True, signed: False. Temporal directed messaging network among UC Irvine students with Unix timestamps.. Suitable for temporal network analysis, online social network analysis. The file holds 59,835 messages, one row per message; the edge count of 20,296 counts distinct pairs.

1.9K records1.9K nodes20.3K edges2009

Opsahl UC Irvine Online Forum Network Analyzed

A UC Irvine online student forum dataset of 1,421 nodes and 7,089 edges, collected by T. Opsahl. Each record contains directed: False, weighted: True, signed: False. Temporal bipartite network of students posting to forum threads with Unix timestamps.. Suitable for temporal bipartite network analysis, online community analysis.

1.4K records1.4K nodes7.1K edges2013

EU Research Institution Email Network Analyzed

A European research institution internal email system dataset of 986 employees and 332,334 directed email interactions across 42 departments, collected by Leskovec et al. via SNAP (anonymized institutional email logs). Each record contains sender employee ID, recipient employee ID, Unix timestamp, and department label per employee (42 departments). Temporal directed email communication network from a European research institution with ground-truth department labels for all 986 employees — enabling evaluation of community detection algorithms against known organizational structure.. Suitable for community detection benchmarking, organizational network analysis, temporal email network analysis, higher-order graph clustering.

986 records986 nodes24.9K edges2017

Radoslaw Corporate Email Network Analyzed

A Manufacturing company internal email system (Poland) dataset of 167 nodes and 5,784 edges, collected by Michalski et al. via corporate email logs. Each record contains directed: True, weighted: True, signed: False, temporal: True. Temporal directed email communication network of 167 employees at a manufacturing company over 10 months, with Unix timestamps per message. Useful for studying organizational communication patterns.. Suitable for organizational network analysis, temporal email networks, community detection. The file holds 82,927 e-mails, one row per message; the edge count of 5,784 counts distinct pairs.

167 records167 nodes5.8K edges2011