The graph represents a network of 1,521 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, 31 October 2021 at 03:12 UTC.
The requested start date was Sunday, 31 October 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, 6-hour, 8-minute period from Sunday, 17 October 2021 at 01:12 UTC to Saturday, 30 October 2021 at 07:20 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 : 1521
Unique Edges : 1596
Edges With Duplicates : 5823
Total Edges : 7419
Number of Edge Types : 5
Mentions : 2064
Tweet : 1081
MentionsInRetweet : 2628
Retweet : 1593
Replies to : 53
Self-Loops : 1179
Reciprocated Vertex Pair Ratio : 0.0355156183140779
Reciprocated Edge Ratio : 0.068595041322314
Connected Components : 98
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 1286
Maximum Edges in a Connected Component : 7098
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.661697
Graph Density : 0.00104674902245752
Modularity : 0.287715
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,521 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, 31 October 2021 at 03:12 UTC.
The requested start date was Sunday, 31 October 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, 6-hour, 8-minute period from Sunday, 17 October 2021 at 01:12 UTC to Saturday, 30 October 2021 at 07:20 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:
[606] #corpgov,togovern [354] #aml,#crypto [284] martinhoyes,#csr [257] #csr,#corpgov [241] #insurtech,#fintech [228] #fintech,#finserv [211] #wef,#datagovernance [206] #finserv,#wef [205] #fintech,#regtech [203] #corpgov,#aml Top Word Pairs in Tweet in G1:
[126] #corpgov,#ceo [118] #ceo,#cfo [100] #board,#boardofdirectors [89] #boardofdirectors,#governance [44] #cfo,#cio [43] #governance,#auditcommittee [42] #esg,#grc [38] #cio,#ciso [37] #grc,#erm [37] #erm,#board Top Word Pairs in Tweet in G2:
[12] shesrideordie,googleexpertuk [12] googleexpertuk,shades_dirty [12] shades_dirty,drumeshprabhu [12] drumeshprabhu,braincures [10] do_kinder,shesrideordie [7] braincures,proftimnoakes [7] proftimnoakes,gentlewomanboss [7] gentlewomanboss,judithcarmody1 [6] judithcarmody1,bul [6] braincures,do_kinder Top Word Pairs in Tweet in G3:
[78] harvard,law [78] law,school [78] school,views [78] views,hinman [78] hinman,speech [78] speech,views [78] views,secgov [78] secgov,staff [78] staff,according [78] according,garygensler Top Word Pairs in Tweet in G4:
[70] harvardcorpgov,posted [18] #corpgov,#esg [11] #corpgov,#delawarelaw [9] posted,sec [9] climate,change [9] #corpgov,#sec [9] #corporategovernance,#esg [8] narcissistic,ceos [8] ceos,bad [8] #corpgov,#corporategovernance Top Word Pairs in Tweet in G5:
[44] reported,twitter [44] twitter,false [44] false,info [44] info,#covid_19 [44] #covid_19,emerald [44] emerald,newsmax [44] newsmax,troll [44] troll,twitter [44] twitter,board [44] board,investors Top Word Pairs in Tweet in G6:
[575] #corpgov,togovern [44] times,#corpgov [33] finance,#corpgov [31] yahoo,finance [27] corporate,governance [27] #corpgov,#leadership [25] #leadership,#boardofdirectors [18] news,#corpgov [18] business,wire [18] wire,#corpgov Top Word Pairs in Tweet in G7:
[342] #aml,#crypto [275] martinhoyes,#csr [242] #csr,#corpgov [229] #insurtech,#fintech [218] #fintech,#finserv [199] #wef,#datagovernance [196] #finserv,#wef [194] #fintech,#regtech [192] #corpgov,#aml [192] #crypto,#finserv Top Word Pairs in Tweet in G8:
[36] #corpgov,#grc [23] corporate,governance [21] #grc,#esg [18] governance,awards [17] year's,corporate [16] find,more [15] partner,year's [15] virtual,event [15] event,nov [13] board,partner Top Word Pairs in Tweet in G9:
[45] days,#nacdsummit [45] #nacdsummit,important [45] important,fun [45] fun,reflect [45] reflect,memorable [45] memorable,takeaways [45] takeaways,corporate [44] marquardtglobal,days Top Word Pairs in Tweet in G10:
[5] learn,more [4] #governance,#corpgov [3] #risk,#regulation [3] pomerantz,monitor [2] climate,change [2] board,refreshment [2] refreshment,succession [2] succession,planning [2] planning,normal [2] board,diversity Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G7:
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:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: