The graph represents a network of 302 Twitter users whose tweets in the requested range contained "AEJMC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 13 December 2022 at 08:15 UTC.
The requested start date was Tuesday, 13 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 21-hour, 30-minute period from Tuesday, 29 November 2022 at 02:36 UTC to Tuesday, 13 December 2022 at 00:06 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 : 302
Unique Edges : 438
Edges With Duplicates : 1146
Total Edges : 1584
Number of Edge Types : 5
Mentions : 541
Retweet : 286
MentionsInRetweet : 658
Tweet : 60
Replies to : 39
Self-Loops : 61
Reciprocated Vertex Pair Ratio : 0.131221719457014
Reciprocated Edge Ratio : 0.232
Connected Components : 13
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 287
Maximum Edges in a Connected Component : 1572
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.951835
Graph Density : 0.00825064355019692
Modularity : 0.303766
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 302 Twitter users whose tweets in the requested range contained "AEJMC", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 13 December 2022 at 08:15 UTC.
The requested start date was Tuesday, 13 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 21-hour, 30-minute period from Tuesday, 29 November 2022 at 02:36 UTC to Tuesday, 13 December 2022 at 00:06 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 : AEJMC
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:
[52] southeast,colloquium [46] nodexl,jeremyhl [45] assistant,professor [40] aejmc,southeast [35] tenure,track [32] jeremyhl,nodexl [30] dec,12 [29] aejmc,midwinter [28] track,assistant [28] top,hashtags Top Word Pairs in Tweet in G1:
[46] southeast,colloquium [35] aejmc,southeast [21] dec,12 [18] dec,15 [18] aejmc,midwinter [17] midwinter,conference [17] aejmc,#sec2023 [16] great,upcoming [16] conference,opportunity [16] upcoming,regional Top Word Pairs in Tweet in G2:
[46] nodexl,jeremyhl [32] jeremyhl,nodexl [28] top,hashtags [26] michaelbathurst,this0499154500 [26] jeremyhl,michaelbathurst [18] #aejmc22,#smpc2023 [18] jeremyhl,this0499154500 [18] docassar,jeremyhl [17] aejmc,kg_suresh [16] this0499154500,thartman2u Top Word Pairs in Tweet in G3:
[33] assistant,professor [32] tenure,track [26] track,assistant [22] 2023,details [22] fall,2023 [22] spread,word [22] opening,alabama [22] positions,opening [22] friends,spread [22] alabama,fall Top Word Pairs in Tweet in G4:
[8] aejmc_ccs,newsletter [4] cowritten,sshaban [4] happy,column [4] little,research [4] aejmc_ccs,aejmc [4] share,little [4] cultural,critical [4] team,developed [4] sshaban,team [4] kbassmann,rai_decarvalho Top Word Pairs in Tweet in G5:
[5] momademia,academicchatter [5] consider,applying [5] natcomm,ica_fsd [5] gcsc2020,natcomm [5] ica_fsd,nhcodeshift [5] academicchatter,aejmc [5] aejmc,gcsc2020 [5] applying,recipients [5] nhcodeshift,consider [4] pallavi_guha,momademia Top Word Pairs in Tweet in G6:
[4] needs,ayleen_cabas [4] better,serve [4] internet,platforms [4] business,models [4] models,internet [4] serve,societal [4] media,practices [4] practices,business [4] societal,needs [4] platforms,better Top Word Pairs in Tweet in G7:
[5] know,more [5] check,#jmcq [5] #climatechange,#verification [5] more,#climatechange [5] #jmcq,article [5] #verification,check [5] article,#factchecking [4] environmental,communication [4] colleagues,theieca [4] announce,shirley Top Word Pairs in Tweet in G8:
[2] reasons,metaverse [2] love,love [2] aejmc_prd,aejmc [2] find,more [2] metaverse,increasingly [2] iprrc,aejmc_prd [2] increasingly,relevant [2] communications,find [2] relevant,executive [2] executive,communications Top Word Pairs in Tweet in G9:
[2] question,hypothesis [2] ahrcpress,qutdmrc [2] qutdmrc,uow_camri [2] phdvoice,ahrcpress [2] hypothesis,yecrea_eu [2] difference,between [2] between,research [2] research,question [2] yecrea_eu,phdvoice Top Word Pairs in Tweet in G10:
[3] study,#digitalethics [3] ethics,editing [3] engagingnews,ethics [3] word,case [3] tweets,help [3] help,word [3] case,study [3] editing,tweets [2] #digitalethics,natc [2] ethicsofmedia,engagingnews 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: