The graph represents a network of 367 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, 04 October 2020 at 22:15 UTC.
The requested start date was Sunday, 04 October 2020 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 90-day, 15-hour, 21-minute period from Wednesday, 01 July 2020 at 00:03 UTC to Tuesday, 29 September 2020 at 15:25 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 : 367
Unique Edges : 423
Edges With Duplicates : 460
Total Edges : 883
Number of Edge Types : 5
Replies to : 44
Mentions : 198
Retweet : 188
MentionsInRetweet : 416
Tweet : 37
Self-Loops : 39
Reciprocated Vertex Pair Ratio : 0.0455341506129597
Reciprocated Edge Ratio : 0.0871021775544389
Connected Components : 55
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 176
Maximum Edges in a Connected Component : 556
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.09747
Graph Density : 0.0044445437084022
Modularity : 0.541965
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 367 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, 04 October 2020 at 22:15 UTC.
The requested start date was Sunday, 04 October 2020 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 90-day, 15-hour, 21-minute period from Wednesday, 01 July 2020 at 00:03 UTC to Tuesday, 29 September 2020 at 15:25 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:
[36] compared,sentiment [36] sentiment,associated [36] associated,45 [36] 45,emoji [34] love,emoji [34] google's,jenniferdaniel [34] jenniferdaniel,ashley [34] ashley,shurick [34] shurick,compared [33] googledesign,love Top Word Pairs in Tweet in G1:
[19] icwsm,2021 [19] social,media [14] dear,virtual [14] virtual,#sunbelt2020 [14] #sunbelt2020,#icwsm [14] #icwsm,2020 [14] 2020,participants [14] participants,dear [14] dear,people [14] people,afford Top Word Pairs in Tweet in G2:
[10] political,trolls [8] icwsm,nodexl [8] nodexl,icwsm [8] paper,evolution [8] evolution,manosphere [7] conventions,moral [7] moral,orders [7] orders,field [7] field,#ai [7] #ai,text Top Word Pairs in Tweet in G3:
[34] love,emoji [34] google's,jenniferdaniel [34] jenniferdaniel,ashley [34] ashley,shurick [34] shurick,compared [34] compared,sentiment [34] sentiment,associated [34] associated,45 [34] 45,emoji [33] googledesign,love Top Word Pairs in Tweet in G4:
[5] very,productive [5] productive,workshop [5] workshop,#cybersocialthreats [5] #cybersocialthreats,last [5] last,june [5] june,thanks [5] thanks,authors [5] authors,participants [5] participants,pc [5] pc,members Top Word Pairs in Tweet in G5:
[4] social,media [2] #icwsm2020,paper [2] emoji,sentiment [2] sentiment,vendors [2] interesting,paper [2] local,music Top Word Pairs in Tweet in G7:
[10] h_tejas,rmantha2 [8] thaiyaan,h_tejas [6] rmantha2,study [6] study,scrapped [6] scrapped,matrimonial [6] matrimonial,sites [6] sites,tech [6] tech,savvy [6] savvy,internet [6] internet,people Top Word Pairs in Tweet in G8:
[2] mollistan,one [2] one,jeffrey [2] jeffrey,st [2] st,clair [2] clair,written [2] written,mintpressnews [2] mintpressnews,mpn [2] mpn,website [2] website,specializing [2] specializing,propaganda Top Word Pairs in Tweet in G9:
[6] job,spotifyresearch [6] spotifyresearch,looks [6] looks,great [6] great,opportunity [6] opportunity,data [6] data,science [6] science,psych [6] psych,academic [6] academic,transition [5] samuelmehr,job Top Replied-To in Entire Graph:
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Top Replied-To in G4:
Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: