The graph represents a network of 923 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, 05 September 2021 at 00:34 UTC.
The requested start date was Sunday, 05 September 2021 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 94-day, 9-hour, 54-minute period from Tuesday, 01 June 2021 at 09:56 UTC to Friday, 03 September 2021 at 19:50 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 : 923
Unique Edges : 1281
Edges With Duplicates : 2888
Total Edges : 4169
Number of Edge Types : 5
Replies to : 175
Tweet : 172
Mentions : 973
MentionsInRetweet : 1849
Retweet : 1000
Self-Loops : 179
Reciprocated Vertex Pair Ratio : 0.109856262833676
Reciprocated Edge Ratio : 0.197964847363552
Connected Components : 70
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 812
Maximum Edges in a Connected Component : 4034
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.091367
Graph Density : 0.00254052262851261
Modularity : 0.331204
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 923 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, 05 September 2021 at 00:34 UTC.
The requested start date was Sunday, 05 September 2021 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 94-day, 9-hour, 54-minute period from Tuesday, 01 June 2021 at 09:56 UTC to Friday, 03 September 2021 at 19:50 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:
[151] social,media [74] icwsm,21 [69] winner,icwsm [62] political,polarization [61] icwsm,winner [57] #icwsm2021,icwsm [56] best,paper [55] looking,forward [52] paper,political [51] icwsm,2021 Top Word Pairs in Tweet in G1:
[49] icwsm,21 [44] winner,icwsm [42] workshop,icwsm [41] emoji2021,workshop [37] icwsm,winner [36] monday,ll [36] ll,speaking [36] speaking,emoji2021 [36] icwsm,figured [36] figured,good Top Word Pairs in Tweet in G2:
[53] #icwsm2021,icwsm [33] social,media [26] looking,forward [24] ø,ø [22] ladamic,nglance [19] #cysoc2021,icwsm [18] icwsm,workshop [17] icwsm,2021 [17] paper,award [17] #mediate2021,#icwsm2021 Top Word Pairs in Tweet in G3:
[34] social,media [31] understanding,use [31] use,fauxtography [31] fauxtography,social [26] next,tuesday [26] tuesday,student [26] student,yupingwang90 [26] yupingwang90,present [26] present,understanding [25] gianluca_string,next Top Word Pairs in Tweet in G4:
[20] work,cerenbudak [20] fake,news [19] news,sites [15] know,more [15] more,presence [15] presence,men's [15] men's,rights [15] rights,activists [15] activists,online [15] online,well Top Word Pairs in Tweet in G5:
[17] bla,claims [17] claims,international [17] international,intervention [17] intervention,release [17] release,three [17] three,hostages [17] hostages,captured [17] captured,balochistan [7] fake,news [4] social,media Top Word Pairs in Tweet in G6:
[27] icwsm,#icwsm2021 [22] social,media [22] political,polarization [21] polarization,twitter [20] proud,latest [20] latest,paper [20] paper,uncovering [20] uncovering,coordinated [20] coordinated,networks [20] networks,social Top Word Pairs in Tweet in G7:
[11] social,media [9] media,research [7] looking,forward [7] forward,icwsm [7] icwsm,tutorial [7] tutorial,tomorrow [7] tomorrow,engaging [7] engaging,ethics [7] ethics,'public' [7] 'public',data Top Word Pairs in Tweet in G8:
[10] paper,award [7] best,paper [7] jure,congrats [7] verma22gaurav,icwsm [6] congrats,cervisiarius [6] cervisiarius,icwsm2021 [6] icwsm2021,best [6] icwsm,thanks [5] group,video [4] #icwsm21,paper Top Word Pairs in Tweet in G9:
[11] talk,snchancellor [11] human,centered [11] centered,machine [11] machine,learning [10] happening,today [9] super,excited [9] excited,keynote [9] keynote,talk [9] snchancellor,umncomputersci [9] umncomputersci,human Top Word Pairs in Tweet in G10:
[6] representation,music [6] music,creators [6] creators,wikipedia [6] wikipedia,differences [6] differences,gender [6] gender,genre [6] genre,#wikipedia [6] #wikipedia,content [6] content,largely [6] largely,reflects Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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