The graph represents a network of 1,054 Twitter users whose tweets in the requested range contained "icwsm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 August 2022 at 00:43 UTC.
The requested start date was Sunday, 14 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 101-day, 3-hour, 46-minute period from Sunday, 01 May 2022 at 00:46 UTC to Wednesday, 10 August 2022 at 04:32 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1054
Unique Edges : 1780
Edges With Duplicates : 3276
Total Edges : 5056
Number of Edge Types : 5
Tweet : 175
Retweet : 1089
MentionsInRetweet : 2383
Replies to : 198
Mentions : 1211
Self-Loops : 181
Reciprocated Vertex Pair Ratio : 0.117532971295578
Reciprocated Edge Ratio : 0.21034363068379
Connected Components : 69
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 919
Maximum Edges in a Connected Component : 4892
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.416412
Graph Density : 0.00259581821884162
Modularity : 0.357793
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 1,054 Twitter users whose tweets in the requested range contained "icwsm", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 14 August 2022 at 00:43 UTC.
The requested start date was Sunday, 14 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 101-day, 3-hour, 46-minute period from Sunday, 01 May 2022 at 00:46 UTC to Wednesday, 10 August 2022 at 04:32 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : icwsm
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[95] social,media [85] icwsm,2022 [55] icwsm,paper [42] paper,icwsm [42] accepted,icwsm [40] reddit,moderators [38] presenting,work [37] icwsm,2023 [37] time,behavior [37] behavior,nudges Top Word Pairs in Tweet in G1:
[25] social,media [24] icwsm,paper [18] paper,icwsm [17] manoelribeiro,latest [17] latest,icwsm [17] paper,study [17] study,proactive [17] proactive,moderation [17] moderation,impacts [17] impacts,groups Top Word Pairs in Tweet in G2:
[37] reddit,moderators [35] icwsm,2022 [34] much,free [34] free,labor [34] labor,reddit [34] moderators,provide [34] provide,reddit [34] reddit,year [34] year,characteristics [34] characteristics,labor Top Word Pairs in Tweet in G3:
[28] paper,understanding [24] local,news [22] presenting,paper [21] coverage,engagement [20] today's,day [20] day,presenting [20] understanding,local [20] news,social [20] social,coverage [20] engagement,scale Top Word Pairs in Tweet in G4:
[15] socinfo,2022 [15] 2022,deadline [15] deadline,wks [15] wks,#socinfo2022 [15] #socinfo2022,socinfo22 [15] socinfo22,international [15] international,conference [15] conference,social [15] social,informatics [15] informatics,oct Top Word Pairs in Tweet in G5:
[26] #icwsm,icwsm [25] osome_iu,#icwsm [18] #cysoc2022,workshop [15] twitter,deletions [14] christorreslugo,yang3kc [12] âš,âš [11] âš,we've [11] lined,#cysoc2022 [11] workshop,icwsm [10] osome,team Top Word Pairs in Tweet in G6:
[13] alice,oh [13] oh,aliceoh [12] non,english [12] english,llms [11] icwsm,second [11] second,keynote [11] keynote,speaker [11] speaker,alice [11] aliceoh,speak [11] speak,importance Top Word Pairs in Tweet in G7:
[10] first,peer [10] peer,reviewed [9] news,media [9] reviewed,outcome [9] outcome,research [9] research,project [9] project,accepted [9] accepted,icwsm'22 [9] icwsm'22,andrei_rizoiu [9] andrei_rizoiu,ameliajohns13 Top Word Pairs in Tweet in G8:
[36] time,behavior [36] behavior,nudges [36] nudges,work [35] codinghorror,time Top Word Pairs in Tweet in G9:
[4] social,media [3] offensive,content [2] candle,reviews [2] reconsidering,tweets [2] tweets,intervening [2] intervening,during [2] during,tweet [2] tweet,creation [2] creation,decreases [2] decreases,offensive Top Word Pairs in Tweet in G10:
[27] social,good [24] computing,social [24] good,lab [24] lab,ucsd [24] ucsd,recruiting [24] recruiting,ph [24] ph,student [24] student,interested [24] interested,working [24] working,cutting Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: