The graph represents a network of 2,083 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 January 2021 at 02:50 UTC.
The requested start date was Sunday, 17 January 2021 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, 6-hour, 11-minute period from Sunday, 03 January 2021 at 02:11 UTC to Saturday, 16 January 2021 at 08:22 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 : 2083
Unique Edges : 2626
Edges With Duplicates : 6579
Total Edges : 9205
Number of Edge Types : 5
Mentions : 2813
Tweet : 1166
MentionsInRetweet : 3528
Retweet : 1609
Replies to : 89
Self-Loops : 1229
Reciprocated Vertex Pair Ratio : 0.0221784130113356
Reciprocated Edge Ratio : 0.0433944069431051
Connected Components : 114
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 1814
Maximum Edges in a Connected Component : 8864
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.825554
Graph Density : 0.00095646427347684
Modularity : 0.379502
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 2,083 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 17 January 2021 at 02:50 UTC.
The requested start date was Sunday, 17 January 2021 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, 6-hour, 11-minute period from Sunday, 03 January 2021 at 02:11 UTC to Saturday, 16 January 2021 at 08:22 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 : corpgov
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:
[423] #corpgov,togovern [249] delbius,head [249] head,twittersafety [247] nancylevine,delbius [235] board,directors [234] #startups,#entrepreneurs [234] #entrepreneurs,#smallbusinessowners [216] twitter,board [203] owner,account [203] account,continues Top Word Pairs in Tweet in G1:
[247] delbius,head [247] head,twittersafety [245] nancylevine,delbius [215] twitter,board [202] owner,account [202] account,continues [202] continues,use [202] use,twitter [202] twitter,defend [202] defend,promote Top Word Pairs in Tweet in G2:
[421] #corpgov,togovern [146] #nonexecs,#corpgov [113] board,directors [86] #fcpa,#corpgov [78] ge,#ge [78] #ge,#fcpa [76] #corpgov,whistleblower [76] whistleblower,seema [76] seema,sapra [73] #corpgov,#grc Top Word Pairs in Tweet in G3:
[10] shesrideordie,googleexpertuk [10] googleexpertuk,shades_dirty [10] shades_dirty,drumeshprabhu [10] drumeshprabhu,braincures [8] do_kinder,shesrideordie [6] braincures,proftimnoakes [6] proftimnoakes,gentlewomanboss [6] gentlewomanboss,judithcarmody1 [5] evidencebase_im,techscommit [4] do_kinder,braincures Top Word Pairs in Tweet in G4:
[47] harvardcorpgov,posted [13] #governance,assessment [13] assessment,similar [13] similar,approach [13] approach,equities [13] equities,vs [13] vs,debt [13] debt,investors [12] investors,pri_news [10] #shareholderactivism,#corpgov Top Word Pairs in Tweet in G5:
[78] #corpgov,#ceo [78] #ceo,#cfo [54] #board,#boardofdirectors [53] #boardofdirectors,#directorship [33] #directorship,#governance [31] #esg,#grc [27] #cfo,#chro [27] #compensationcommittee,#auditcommittee [27] #auditcommittee,#nomgov [26] #chro,#hcm Top Word Pairs in Tweet in G6:
[212] #startups,#entrepreneurs [212] #entrepreneurs,#smallbusinessowners [122] #smallbusinessowners,pick [122] pick,#growthmindset [103] #growthmindset,2021 [103] gt,ravikikan [84] #smallbusinessowners,books [84] books,help [84] help,grow [84] grow,gt Top Word Pairs in Tweet in G7:
[18] #corpgov,#sri [16] #esg,#corpgov [15] #sri,#sustainablefinance [14] #sustainablefinance,#investmentgrade [13] #investmentgrade,#complyingwiththefuture [13] standard,ethics [10] #sustainability,#ratings [10] corporate,governance [9] #sustainability,#rating [9] #rating,#esg Top Word Pairs in Tweet in G8:
[5] corporate,governance [3] proxy,season [3] #corpgov,#governance [3] #esg,#corpgov [2] ãºltimas,noticias [2] noticias,2020 [2] 2020,marcar [2] marcar,dã [2] dã,sec [2] sec,eeuu Top Word Pairs in Tweet in G9:
[16] #corpgov,#esg [9] big,given [9] given,until [9] until,recently [9] recently,blackrock [9] blackrock,consistently [9] consistently,really [9] really,care [9] care,much [9] much,disclosure Top Word Pairs in Tweet in G10:
[12] nancylevine,sachabaroncohen [12] sachabaroncohen,youtube [12] youtube,susanwojcicki [12] susanwojcicki,alphabetworkers [12] alphabetworkers,adl [12] adl,colorofchange [12] colorofchange,commonsense [12] commonsense,lulac [12] lulac,mozilla [12] mozilla,naacp Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
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: