The graph represents a network of 1,049 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, 11 December 2022 at 04:24 UTC.
The requested start date was Sunday, 11 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, 1-hour, 45-minute period from Sunday, 27 November 2022 at 02:48 UTC to Saturday, 10 December 2022 at 04:33 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 : 1049
Unique Edges : 1341
Edges With Duplicates : 3365
Total Edges : 4706
Number of Edge Types : 5
Retweet : 943
MentionsInRetweet : 1464
Tweet : 994
Mentions : 1257
Replies to : 48
Self-Loops : 1249
Reciprocated Vertex Pair Ratio : 0.0220667384284177
Reciprocated Edge Ratio : 0.0431806213796735
Connected Components : 103
Single-Vertex Connected Components : 71
Maximum Vertices in a Connected Component : 875
Maximum Edges in a Connected Component : 4449
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.087125
Graph Density : 0.00172738122093742
Modularity : 0.349692
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,049 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, 11 December 2022 at 04:24 UTC.
The requested start date was Sunday, 11 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, 1-hour, 45-minute period from Sunday, 27 November 2022 at 02:48 UTC to Saturday, 10 December 2022 at 04:33 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:
[433] #corpgov,#esg [418] #lawyeroftheyear,#keystonelaw [208] #esg,#corpgov [158] #conflictofiinterest,#esg [102] client,#newfoundglobal [100] board,members [96] tesla,board [95] #solicitor,#solicitors [88] members,allow [88] elonmusk,destroy Top Word Pairs in Tweet in G1:
[98] board,members [96] tesla,board [88] destroy,tesla [88] allow,elonmusk [88] elonmusk,destroy [88] avindman,tesla [88] members,allow [87] kasparov63,avindman [87] renew_democracy,elonmusk [87] elonmusk,kasparov63 Top Word Pairs in Tweet in G2:
[415] #lawyeroftheyear,#keystonelaw [391] #corpgov,#esg [169] #esg,#corpgov [158] #conflictofiinterest,#esg [102] client,#newfoundglobal [95] #solicitor,#solicitors [73] #keystonelaw,#legaldefence [53] corporate,governance [52] wigsandwaffle1,#lawyeroftheyear [52] #sra,#honesty Top Word Pairs in Tweet in G3:
[22] #esg,#sdgs [22] #csr,#sri [15] development,goals [15] goals,targets [15] sustainable,development [15] targets,#esg [14] advanceesg,sustainable [12] #corpgov,#sustainability [11] #impactinvesting,#climatechange [10] #sdg,#csr Top Word Pairs in Tweet in G4:
[45] harvardcorpgov,posted [17] universal,proxy [17] #corpgov,#esg [15] #esg,#corpgov [13] corporate,governance [12] cryptoassets,securities [10] posted,sec [9] framework,fiduciary [9] advance,notice [9] fiduciary,duties Top Word Pairs in Tweet in G5:
[58] #corpgov,#ceo [56] #ceo,#cfo [45] #board,#boardofdirectors [37] #boardofdirectors,#governance [28] #grc,#esg [23] #cfo,#chro [21] #governance,#compensationcommittee [18] #governance,#auditcommittee [18] #auditcommittee,#nomgov [18] #compensationcommittee,#auditcommittee Top Word Pairs in Tweet in G6:
[6] #corpgov,#esg [6] harvard,law [5] corporate,governance [5] law,school [4] 1pm,sign [3] #corpgov,#corporategovernance [3] free,#corpgov [3] executive,compensation [3] school,forum [3] sign,free Top Word Pairs in Tweet in G7:
[59] cryptoassets,securities [53] deft,move [53] sec,decentralization [53] fraught,topic [53] securities,fraught [53] decentralization,morph [53] move,2018 [53] approach,deft [53] morph,approach [53] jaimassari,cryptoassets Top Word Pairs in Tweet in G8:
[44] #accounting,#audit [17] securities,exchange [16] exchange,commission [10] #cfo,#corpgov [9] #audit,#corpgov [9] #corpgov,#accounting [7] #audit,#cfo [7] #corpgov,#cfo [7] #esg,#corpgov [5] #transparency,#accountability Top Word Pairs in Tweet in G9:
[6] #esg,#upc [4] corpgovnet,#esg [4] #proxyfights,#corpgov [4] #corpgov,#proxycontests [4] universal,proxy [4] #esg,universal [4] #shareholderactivism,#proxyfights [4] #proxycontests,#esg [3] accompanying,letter [3] two,days Top Word Pairs in Tweet in G10:
[15] gobierno,corporativo [6] hilo,14 [6] caso,#idaan [6] estudio,2016 [6] corporativo,empresas [6] #idaan,estudio [6] tweets,#corpgov [6] 14,tweets [6] empresas,estatales [6] #corpgov,#corporategovernance Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: