The graph represents a network of 1,092 Twitter users whose recent tweets contained "#ica23", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 40,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 1/1/2023 11:59:59 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 21:48 UTC.
The tweets in the network were tweeted over the 426-day, 0-hour, 57-minute period from Monday, 01 November 2021 at 21:36 UTC to Sunday, 01 January 2023 at 22:33 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 : 1092
Unique Edges : 1016
Edges With Duplicates : 3771
Total Edges : 4787
Number of Edge Types : 9
Retweet : 1325
MentionsInRetweet : 1797
MentionsInReplyTo : 340
Mentions : 514
Replies to : 152
Quote : 138
Tweet : 374
MentionsInQuote : 142
MentionsInQuoteReply : 5
Self-Loops : 509
Reciprocated Vertex Pair Ratio : 0.0777886497064579
Reciprocated Edge Ratio : 0.144348615524285
Connected Components : 57
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 1011
Maximum Edges in a Connected Component : 4665
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.686538
Graph Density : 0.00184912856773535
Modularity : 0.318429
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=287775
Data Import : The graph represents a network of 1,092 Twitter users whose recent tweets contained "#ica23", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 40,000 tweets, tweeted between 1/1/2022 12:00:00 AM and 1/1/2023 11:59:59 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 21:48 UTC.
The tweets in the network were tweeted over the 426-day, 0-hour, 57-minute period from Monday, 01 November 2021 at 21:36 UTC to Sunday, 01 January 2023 at 22:33 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 : #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:
[144] #ica23,preconference [88] call,papers [87] deadline,#ica23 [84] #ica23,toronto [79] probably,working [78] closer,nov [78] working,manuscripts [78] coming,closer [78] manuscripts,right [78] nov,many Top Word Pairs in Tweet in G1:
[43] research,escalator [35] #ica23,cat [35] early,career [34] cat,research [33] submitting,#ica23 [30] consider,submitting [27] re,mentorship [27] icahdq,consider [27] scholar,icahdq [27] career,scholar Top Word Pairs in Tweet in G2:
[49] news,avoidance [43] resistance,related [43] avoidance,resistance [42] #ica23,preconference [31] cfa,#ica23 [28] related,audiences [28] preconference,news [28] audiences,practices [28] practices,live [27] antoniskalog,cfa Top Word Pairs in Tweet in G3:
[17] uoft,uoftdsi [15] science,communication [14] #ica22,many [14] many,science [14] communication,scholars [14] highlight,#ica22 [14] second,annual [14] #ica23,deadline [13] very,excited [13] #ica23,very Top Word Pairs in Tweet in G4:
[28] summer,school [27] call,papers [16] working,things [16] preconference,colleagues [16] applying,preconference [16] media,consider [16] ai,media [16] papers,working [16] things,ai [16] consider,applying Top Word Pairs in Tweet in G5:
[15] special,issue [12] #polcomm,papers [12] calls,cfps [12] think,#comm [12] one,special [12] another,one [12] issue,calls [12] #comm,#polcomm [12] cfps,think [11] josephinelukito,another Top Word Pairs in Tweet in G6:
[37] media,communication [34] global,contexts [34] preconference,media [34] cfp,#ica23 [34] communication,studies [34] critical,history [34] contexts,critical [34] studies,global [33] sponsored,#ias_nuq [33] #ica23,preconference Top Word Pairs in Tweet in G7:
[50] deadline,#ica23 [49] closer,nov [49] many,probably [49] manuscripts,right [49] coming,closer [49] #ica23,coming [49] nov,many [49] probably,working [49] working,manuscripts [48] kuempelanna,deadline Top Word Pairs in Tweet in G8:
[20] #ica23,#toronto [17] aejmc,kg_suresh [15] nodexl,aejmc [15] aejmc,nodexl [11] kg_suresh,stineeckert [11] top,hashtags [10] political,economy [10] feminist,political [9] see,ica_fsd [9] #aejmc22,#smpc2023 Top Word Pairs in Tweet in G9:
[34] 25,2023 [33] borders,migration [33] toronto,metropolitan [33] metropolitan,university [33] workshop,held [33] cfp,datafication [33] migration,workshop [33] datafication,borders [33] held,toronto [33] university,25 Top Word Pairs in Tweet in G10:
[21] pre,conference [16] #ica23,toronto [15] #ica_pd,accepting [14] please,consider [14] learn,more [13] ica_pd,#ica_pd [12] call,papers [11] #ica23,pre [10] attend,#ica23 [10] wait,time Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: