The graph represents a network of 1,447 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 June 2020 at 05:32 UTC.
The requested start date was Sunday, 21 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 7-hour, 28-minute period from Sunday, 07 June 2020 at 00:05 UTC to Saturday, 20 June 2020 at 07:33 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 : 1447
Unique Edges : 1403
Edges With Duplicates : 6008
Total Edges : 7411
Number of Edge Types : 5
Retweet : 1046
MentionsInRetweet : 1692
Tweet : 1037
Mentions : 3577
Replies to : 59
Self-Loops : 1108
Reciprocated Vertex Pair Ratio : 0.0364768683274021
Reciprocated Edge Ratio : 0.0703862660944206
Connected Components : 134
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 1117
Maximum Edges in a Connected Component : 6742
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.457013
Graph Density : 0.00111357403737977
Modularity : 0.272296
NodeXL Version : 1.0.1.434
Data Import : The graph represents a network of 1,447 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 June 2020 at 05:32 UTC.
The requested start date was Sunday, 21 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 7-hour, 28-minute period from Sunday, 07 June 2020 at 00:05 UTC to Saturday, 20 June 2020 at 07:33 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 G2:
[66] #governance,#corpgov [61] board,directors [47] directors,#corpgov [36] #risk,#regulation [32] #regulation,#compliance [27] #corpgov,#ceo [26] attempt,murder [23] murder,ge [19] ge,#ge [17] #corpgov,whistleblower Top Word Pairs in Tweet in G3:
[35] #corpgov,#ceo [27] #ceo,#cfo [26] #board,#boardofdirectors [23] #boardofdirectors,#directorship [23] #directorship,#governance [18] #esg,#grc [17] #cfo,#chro [17] #governance,#compensationcommittee [17] #compensationcommittee,#auditcommittee [17] #auditcommittee,#nomgov Top Word Pairs in Tweet in G4:
[94] realdonaldtrump,fbi [93] fbi,potus [78] potus,pmoindia [76] pmoindia,dcpnewdelhi [73] cpdelhi,statedept [51] statedept,whitehouse [42] ge,#ge [33] #corpgov,whistleblower [33] seema,sapra [33] dcpnewdelhi,delhipolice Top Word Pairs in Tweet in G5:
[123] gt,gt [123] gt,#pwc [123] antgrasso,fisher85m [123] ways,#hackers [123] #hackers,#cyberattacks [123] #cyberattacks,disrupt [122] disrupt,activity [122] activity,gt [122] mikequindazzi,gt [121] mikequindazzi,cc Top Word Pairs in Tweet in G6:
[447] #ceo,#ceos [93] #ceos,#cxo [82] #cxo,#cto [63] #cto,#cmo [63] #cmo,#cfo [63] #cfo,#radio [63] #radio,#tv [63] #tv,#csuite [60] #csuite,#vc [59] #corpgov,#siliconvalley Top Word Pairs in Tweet in G7:
[30] standard,ethics [29] #esg,#corpgov [29] #corpgov,#sri [29] #sri,#sustainablefinance [29] #sustainablefinance,#investmentgrade [29] #investmentgrade,#complyingwiththefuture [29] #ratings,#esg [29] #complyingwiththefuture,#utilities [29] #sustainability,#ratings [29] #sustainability,#rating Top Word Pairs in Tweet in G8:
[32] board,directors [29] compelling,piece [29] piece,patricia_lenkov [28] patricia_lenkov,forbes [27] forbes,posits [26] posits,#corporations [19] #corporations,challenged [14] tiffanyaarcher,compelling [13] challenged,chang [11] beyond,commitment Top Word Pairs in Tweet in G9:
[15] boardroom,governance [8] investors,state [8] state,treasurers [8] securities,law [8] treasurers,public [8] public,interest [7] interest,groups [7] unions,asset [6] asset,managers [5] managers,securities Top Word Pairs in Tweet in G10:
[11] former,ceo [10] unsuckebay,parody [10] parody,account [10] account,impersonate [9] impersonate,official [9] official,ebay [9] ebay,comms [9] comms,harass [9] harass,ebay [9] ebay,sellers 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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: