The graph represents a network of 1,942 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, 02 May 2021 at 03:09 UTC.
The requested start date was Sunday, 02 May 2021 at 00:01 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, 7-hour, 27-minute period from Sunday, 18 April 2021 at 00:17 UTC to Saturday, 01 May 2021 at 07:45 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 : 1942
Unique Edges : 1820
Edges With Duplicates : 4915
Total Edges : 6735
Number of Edge Types : 5
Tweet : 1420
Mentions : 2284
MentionsInRetweet : 1951
Retweet : 1003
Replies to : 77
Self-Loops : 1517
Reciprocated Vertex Pair Ratio : 0.0411208151382824
Reciprocated Edge Ratio : 0.0789933589653967
Connected Components : 136
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 1627
Maximum Edges in a Connected Component : 6194
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.800417
Graph Density : 0.000759002308576753
Modularity : 0.359803
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,942 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, 02 May 2021 at 03:09 UTC.
The requested start date was Sunday, 02 May 2021 at 00:01 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, 7-hour, 27-minute period from Sunday, 18 April 2021 at 00:17 UTC to Saturday, 01 May 2021 at 07:45 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:
[360] #corpgov,togovern [277] #esg,#corpgov [145] #corpgov,#ceo [141] #ceo,#cfo [111] #corpgov,#esg [109] defund,racist [109] racist,politicians [109] politicians,#esg [108] nancylevine,defund [88] non,executive Top Word Pairs in Tweet in G1:
[28] drumeshprabhu,braincures [22] shesrideordie,googleexpertuk [22] googleexpertuk,shades_dirty [22] shades_dirty,drumeshprabhu [20] do_kinder,shesrideordie [17] do_kinder,braincures [14] evidencebase_im,techscommit [12] braincures,proftimnoakes [12] proftimnoakes,gentlewomanboss [12] gentlewomanboss,judithcarmody1 Top Word Pairs in Tweet in G2:
[358] #corpgov,togovern [88] non,executive [63] executive,director [62] #nonexecs,#corpgov [50] #corpgov,#esg [42] #esg,#corpgov [38] kessler,topaz [38] topaz,meltzer [38] meltzer,check [38] check,llp Top Word Pairs in Tweet in G3:
[73] #esgys,#esg [52] #esg,#corpgov [41] #corpgov,#grc [31] #esgys,#corpgov [23] #esg,report [18] #corpgov,#csr [13] releases,2020 [13] #corpgov,#sustainability [13] #grc,#esg [12] #sustainability,report Top Word Pairs in Tweet in G4:
[28] harvardcorpgov,posted [27] #corpgov,#esg [18] #racialequityaudit,proposal [12] disclosure,better [12] better,part [12] part,valor [12] valor,lessons [12] lessons,regulation [10] shareholder,proposal [10] #esg,#corpgov Top Word Pairs in Tweet in G5:
[128] #corpgov,#ceo [126] #ceo,#cfo [73] #board,#boardofdirectors [62] #boardofdirectors,#directorship [60] #esg,#grc [55] #chro,#hcm [46] #directorship,#governance [38] #cfo,#chro [32] #cfo,#esg [31] #wellbeing,#nonprofit Top Word Pairs in Tweet in G6:
[112] #esg,#corpgov [109] defund,racist [109] racist,politicians [109] politicians,#esg [108] nancylevine,defund [15] patriottakes,republican [15] republican,politicians [15] politicians,america [15] america,call [15] call,#freespeech Top Word Pairs in Tweet in G7:
[33] standard,ethics [31] #esg,#corpgov [28] #corpgov,#sri [27] #sri,#sustainablefinance [27] #sustainablefinance,#investmentgrade [25] #investmentgrade,#complyingwiththefuture [16] #sustainability,#rating [12] #sustainability,#ratings [12] issued,standard [11] #rating,#esg Top Word Pairs in Tweet in G8:
[15] #corpgov,#esg [13] dashboard,#corpgov [13] muzaffar69,corpgov' [13] corpgov',news [9] use,dashboard [8] corporate,governance [8] dashboard,help [8] company,initiatives [6] #smartgovernance,#agile [6] #agile,#modern Top Word Pairs in Tweet in G9:
[12] cuáles,principales [12] principales,desafíos [12] desafíos,derecho [12] derecho,sociedades [12] sociedades,américa [12] américa,latina [12] latina,pierdas [12] pierdas,conferencia [11] institutoidf,cuáles [11] conferencia,pronunci Top Word Pairs in Tweet in G10:
[20] #accounting,#audit [20] #governance,#corpgov [14] #corpgov,#boardofdirectors [8] #diversity,#inclusion [8] #audit,#cfo [8] #cfo,#corpgov [7] #esg,#corpgov [7] #boardofdirectors,#governance [7] #corpgov,#governance [6] #calcpa,#accounting Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G5:
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Top Tweeters in G10: