The graph represents a network of 1,502 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, 05 July 2020 at 05:32 UTC.
The requested start date was Sunday, 05 July 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, 5-hour, 11-minute period from Sunday, 21 June 2020 at 02:01 UTC to Saturday, 04 July 2020 at 07:12 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 : 1502
Unique Edges : 1507
Edges With Duplicates : 6295
Total Edges : 7802
Number of Edge Types : 5
Retweet : 991
MentionsInRetweet : 1684
Mentions : 4009
Replies to : 77
Tweet : 1041
Self-Loops : 1129
Reciprocated Vertex Pair Ratio : 0.0276150627615063
Reciprocated Edge Ratio : 0.0537459283387622
Connected Components : 134
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 1148
Maximum Edges in a Connected Component : 7205
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.322429
Graph Density : 0.00108937583555038
Modularity : 0.271727
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1,502 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, 05 July 2020 at 05:32 UTC.
The requested start date was Sunday, 05 July 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, 5-hour, 11-minute period from Sunday, 21 June 2020 at 02:01 UTC to Saturday, 04 July 2020 at 07:12 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:
[368] gt,gt [180] ge,#ge [180] seema,sapra [178] #corpgov,whistleblower [175] attempt,murder [175] murder,ge [172] fbi,potus [172] potus,pmoindia [172] pmoindia,dcpnewdelhi [171] delhi,high Top Word Pairs in Tweet in G1:
[41] ge,#ge [41] seema,sapra [41] delhi,high [41] high,court [40] #corpgov,whistleblower [40] realdonaldtrump,fbi [40] fbi,potus [40] potus,pmoindia [40] pmoindia,dcpnewdelhi [39] attempt,murder Top Word Pairs in Tweet in G2:
[133] ge,#ge [133] seema,sapra [132] #corpgov,whistleblower [132] fbi,potus [132] potus,pmoindia [132] pmoindia,dcpnewdelhi [132] cpdelhi,statedept [132] statedept,whitehouse [131] dcpnewdelhi,delhipolice [131] delhipolice,cpdelhi Top Word Pairs in Tweet in G3:
[79] harvardcorpgov,posted [27] #corpgov,#esg [13] covid,19 [13] board,diversity [12] #corpgov,#covid19 [12] proxy,season [12] #boarddiversity,#corpgov [11] #corpgov,#sec [11] former,sec [11] sec,commissioner Top Word Pairs in Tweet in G4:
[12] #hospital,#healthcare [12] vote,against [12] climate,conflicted [11] #standardbankagm,15 [11] 15,climate [11] climate,justice [11] justice,ngos [11] ngos,calling [11] calling,shareholders [11] shareholders,vote Top Word Pairs in Tweet in G5:
[337] gt,gt [103] antgrasso,fisher85m [92] mikequindazzi,cc [92] cc,antgrasso [87] gt,#pwc [73] #board's,role [73] role,#digitaltransformation [73] #digitaltransformation,2020 [60] mt,mikequindazzi [52] fisher85m,ways Top Word Pairs in Tweet in G6:
[86] #corpgov,#ceo [86] #ceo,#cfo [81] #boardofdirectors,#directorship [81] #directorship,#governance [80] #board,#boardofdirectors [46] #esg,#grc [33] #governance,#compensationcommittee [33] #compensationcommittee,#auditcommittee [33] #auditcommittee,#nomgov [32] #cfo,#chro Top Word Pairs in Tweet in G7:
[16] #corpgov,#esg [15] #execpay,#corpgov [15] #corpgov,#proxyvoting [12] june,2020 [12] paris,time [10] fmr,ceo [10] 29,june [10] 2020,14 [10] 14,30 [10] 30,paris Top Word Pairs in Tweet in G8:
[29] #corpgov,#sri [29] #sri,#sustainablefinance [26] #sustainablefinance,#investmentgrade [25] #esg,#corpgov [25] #investmentgrade,#complyingwiththefuture [24] standard,ethics [13] #sustainability,#ratings [11] #rating,#esg [7] #sustainability,#rating [7] press,release Top Word Pairs in Tweet in G9:
[8] #agile,#chainofcommand [8] #corpgov,#smartgovernance [8] #smartgovernance,#enterprise [8] recent,news [8] news,curated [8] curated,internal [8] internal,auditors [8] auditors,board [8] board,members [8] members,#internalaudit Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G7:
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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: