The graph represents a network of 1,853 Twitter users whose recent tweets contained "ica_cat OR #ica23", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 80,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 12/20/2022 1:06:06 PM. The network was obtained from Twitter on Tuesday, 20 December 2022 at 21:10 UTC.
The tweets in the network were tweeted over the 1567-day, 2-hour, 14-minute period from Wednesday, 05 September 2018 at 15:42 UTC to Tuesday, 20 December 2022 at 17:56 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1853
Unique Edges : 2292
Edges With Duplicates : 8646
Total Edges : 10938
Number of Edge Types : 9
Retweet : 2231
MentionsInRetweet : 3403
MentionsInReplyTo : 2281
Replies to : 713
Quote : 188
Tweet : 696
Mentions : 1112
MentionsInQuote : 300
MentionsInQuoteReply : 14
Self-Loops : 1035
Reciprocated Vertex Pair Ratio : 0.0932923948984412
Reciprocated Edge Ratio : 0.170663210196587
Connected Components : 57
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 1727
Maximum Edges in a Connected Component : 10717
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.375221
Graph Density : 0.00134887212261012
Modularity : 0.274131
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,853 Twitter users whose recent tweets contained "ica_cat OR #ica23", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 80,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 12/20/2022 1:06:06 PM. The network was obtained from Twitter on Tuesday, 20 December 2022 at 21:10 UTC.
The tweets in the network were tweeted over the 1567-day, 2-hour, 14-minute period from Wednesday, 05 September 2018 at 15:42 UTC to Tuesday, 20 December 2022 at 17:56 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : ica_cat OR #ica23
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[208] #ica22,#ica_cat [143] job,institution [143] #ica23,preconference [137] political,communication [129] great,#ica22 [127] one,great [127] #ica_cat,panels [123] assistant,professor [119] ica_cat,ica_mobile [117] please,consider Top Word Pairs in Tweet in G1:
[195] #ica22,#ica_cat [122] great,#ica22 [122] one,great [122] #ica_cat,panels [112] ica_cat,ica_mobile [108] hyatt,regency [102] job,institution [102] doctoral,consortium [81] please,consider [80] icahdq,ica_cat Top Word Pairs in Tweet in G2:
[65] news,avoidance [64] #ica23,preconference [58] avoidance,resistance [58] resistance,related [48] call,papers [42] political,communication [39] cfa,#ica23 [36] related,audiences [36] practices,live [36] audiences,practices Top Word Pairs in Tweet in G3:
[80] assistant,professor [79] happy,answer [78] political,communication [77] professor,political [77] commucsb,hiring [77] hiring,assistant [77] communication,happy [77] answer,qs [74] job,alert [74] dept,commucsb Top Word Pairs in Tweet in G4:
[31] #ica23,toronto [26] pre,conference [20] playful,future [20] games,playful [19] preconference,games [19] #ica23,deadline [19] special,issue [18] call,papers [15] #ica_pd,accepting [15] #ica23,preconference Top Word Pairs in Tweet in G5:
[32] datafication,borders [32] university,25 [32] metropolitan,university [32] 25,2023 [32] held,toronto [32] toronto,metropolitan [32] cfp,datafication [32] workshop,held [32] migration,workshop [32] borders,migration Top Word Pairs in Tweet in G6:
[49] environmental,communication [25] special,issue [24] technology,environmental [24] communication,challenges [24] challenges,opportunities [24] issue,technology [24] communication,special [23] drjjolieshi1,environmental [15] science,communication [14] highlight,#ica22 Top Word Pairs in Tweet in G7:
[48] deadline,#ica23 [47] probably,working [47] nov,many [47] many,probably [47] #ica23,coming [47] coming,closer [47] working,manuscripts [47] manuscripts,right [47] closer,nov [46] kuempelanna,deadline Top Word Pairs in Tweet in G8:
[21] digital,inequalities [17] inequalities,research [17] frontiers,global [17] global,digital [15] icahdq,#ica23 [14] preconference,frontiers [14] #ica23,preconference [9] research,held [9] save,date [9] date,icahdq Top Word Pairs in Tweet in G9:
[6] ica_cat_god,_just_jar_ [6] _just_jar_,logankukulis [6] vicentnobre,ica_cat_god [4] imanieu,onijake [4] thebeardofdeath,ligoniblack [4] artofalbino,imanieu [4] logankukulis,krawezynski [4] onijake,vicentnobre [4] ligoniblack,artofalbino [3] p0ncho8a,_sayaibnu Top Word Pairs in Tweet in G10:
[16] aejmc,kg_suresh [14] aejmc,nodexl [14] nodexl,aejmc [10] #ica23,#toronto [10] kg_suresh,stineeckert [9] #smle2022,#ff [9] top,hashtags [9] #aejmc22,#smpc2023 [9] #smpc2023,#ica23 [9] #prprofs,#smprofs Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: