The graph represents a network of 1,744 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, 21 March 2021 at 03:07 UTC.
The requested start date was Sunday, 21 March 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, 11-minute period from Sunday, 07 March 2021 at 01:06 UTC to Saturday, 20 March 2021 at 08:18 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 : 1744
Unique Edges : 1752
Edges With Duplicates : 4674
Total Edges : 6426
Number of Edge Types : 5
MentionsInRetweet : 1746
Mentions : 2264
Retweet : 886
Tweet : 1463
Replies to : 67
Self-Loops : 1576
Reciprocated Vertex Pair Ratio : 0.0345233424872499
Reciprocated Edge Ratio : 0.0667425104285173
Connected Components : 123
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 1482
Maximum Edges in a Connected Component : 6056
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.355302
Graph Density : 0.000867493565349208
Modularity : 0.354906
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1,744 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, 21 March 2021 at 03:07 UTC.
The requested start date was Sunday, 21 March 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, 11-minute period from Sunday, 07 March 2021 at 01:06 UTC to Saturday, 20 March 2021 at 08:18 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:
[425] #corpgov,togovern [139] corporate,governance [136] #corpgov,#ceo [134] #ceo,#cfo [122] #esg,#corpgov [113] #board,#boardofdirectors [105] #corpgov,#esg [101] board,directors [98] #boardofdirectors,#directorship [77] #nonexecs,#corpgov Top Word Pairs in Tweet in G1:
[30] drumeshprabhu,braincures [23] shesrideordie,googleexpertuk [23] googleexpertuk,shades_dirty [23] shades_dirty,drumeshprabhu [21] do_kinder,shesrideordie [16] braincures,proftimnoakes [16] proftimnoakes,gentlewomanboss [16] gentlewomanboss,judithcarmody1 [15] judithcarmody1,bul [13] braincures,do_kinder Top Word Pairs in Tweet in G2:
[130] #corpgov,#ceo [128] #ceo,#cfo [105] #board,#boardofdirectors [95] #boardofdirectors,#directorship [71] #nonexecs,#corpgov [69] martinhoyes,#deib [62] #corpgov,#grc [60] #directorship,#governance [58] #esg,#grc [52] #hrtech,#futureofwork Top Word Pairs in Tweet in G3:
[45] #corpgov,#esg [19] #esg,#corpgov [14] corporate,governance [14] #governance,#corpgov [13] #corpgov,#execpay [11] #corpgov,#panama [11] racial,equity [9] board,members [8] vote,against [8] shareholder,meetings Top Word Pairs in Tweet in G4:
[40] corporate,governance [31] harvardcorpgov,posted [17] #corpgov,#esg [13] climate,change [12] governance,feminization [12] feminization,capital [10] posted,sec [10] cleaning,corporate [10] governance,open [10] open,access Top Word Pairs in Tweet in G5:
[57] #corpgov,togovern [21] directors,#corpgov [20] non,executive [18] kessler,topaz [18] topaz,meltzer [18] meltzer,check [18] check,llp [18] securities,fraud [17] director,#corpgov [16] board,directors Top Word Pairs in Tweet in G6:
[44] #esgys,#esg [14] #esg,#corpgov [13] #esg,#sustainability [8] #corpgov,#sustainability [7] congratulations,#lcdamember [6] #sustainability,#corpgov [6] #csr,#corpgov [6] esg,being [6] being,actively [6] actively,discussed Top Word Pairs in Tweet in G7:
[339] #corpgov,togovern [36] corporate,governance [25] globenewswire,#corpgov [22] yahoo,finance [19] finance,#corpgov [18] times,#corpgov [15] #esg,#corpgov [15] climate,change [15] prnewswire,#corpgov [13] board,directors Top Word Pairs in Tweet in G8:
[41] standard,ethics [32] #sustainablefinance,#investmentgrade [31] #corpgov,#sri [31] #sri,#sustainablefinance [31] #investmentgrade,#complyingwiththefuture [30] #esg,#corpgov [23] #sustainability,#rating [13] press,release [13] release,standard [12] #ratings,#esg Top Word Pairs in Tweet in G9:
[25] board,directors [16] #corpgov,#womenonboard [11] fmr,ceo [10] #womenonboard,#corpgov [9] #corpgov,#diversity [7] technologies,adds [7] fmr,chief [7] #boarddiversity,#corpgov [6] independent,director [6] nonexec,director Top Word Pairs in Tweet in G10:
[9] #smartgovernance,#agile [8] smart,governance [6] #esg,#corpgov [6] #modern,#corpgov [6] #enterprise,#enterprisegovernance [5] corporate,governance [5] board,agenda [5] #corpgov,#chainofcommand [4] agile,board [4] board,agile Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: