The graph represents a network of 1,045 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, 26 December 2021 at 04:14 UTC.
The requested start date was Sunday, 26 December 2021 at 01:01 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 12-day, 14-hour, 53-minute period from Sunday, 12 December 2021 at 08:06 UTC to Friday, 24 December 2021 at 23:00 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 : 1045
Unique Edges : 1088
Edges With Duplicates : 5793
Total Edges : 6881
Number of Edge Types : 5
Mentions : 1908
MentionsInRetweet : 2443
Retweet : 1552
Tweet : 939
Replies to : 39
Self-Loops : 1042
Reciprocated Vertex Pair Ratio : 0.0423778693349029
Reciprocated Edge Ratio : 0.0813099943534726
Connected Components : 88
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 833
Maximum Edges in a Connected Component : 6528
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.463005
Graph Density : 0.00162331115144182
Modularity : 0.208065
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,045 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, 26 December 2021 at 04:14 UTC.
The requested start date was Sunday, 26 December 2021 at 01:01 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 12-day, 14-hour, 53-minute period from Sunday, 12 December 2021 at 08:06 UTC to Friday, 24 December 2021 at 23:00 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:
[659] #corpgov,togovern [640] #aml,#crypto [626] #csr,#corpgov [567] #wef,#datagovernance [567] #insurtech,#fintech [565] #datagovernance,#futureofwork [559] #finserv,#wef [556] #corpgov,#aml [552] #crypto,#finserv [550] #futureofwork,#insurtech Top Word Pairs in Tweet in G1:
[67] harvardcorpgov,posted [48] #corpgov,#esg [26] #corpgov,#gobernanza [25] #panama,#corpgov [24] #corpgov,#sec [22] #gobernanza,#juntadirectiva [19] #juntadirectiva,#esg [16] barsallocarlos,#panama [15] posted,sec [14] sec_news,#corpgov Top Word Pairs in Tweet in G2:
[329] #corpgov,togovern [111] yahoo,finance [110] finance,#corpgov [49] #csr,#corpgov [40] #corpgov,#esg [37] #ceo,#cfo [36] #aml,#crypto [36] #corpgov,#ceo [35] #board,#boardofdirectors [34] moody's,assigns Top Word Pairs in Tweet in G3:
[99] #corpgov,#ceo [94] #ceo,#cfo [71] #board,#boardofdirectors [69] #boardofdirectors,#governance [57] #esg,#grc [41] #cfo,#chro [39] #chro,#hcm [32] #auditcommittee,#nomgov [31] #governance,#compensationcommittee [31] #compensationcommittee,#auditcommittee Top Word Pairs in Tweet in G4:
[598] #aml,#crypto [567] #csr,#corpgov [531] #wef,#datagovernance [530] #insurtech,#fintech [529] #datagovernance,#futureofwork [524] #finserv,#wef [522] #corpgov,#aml [520] #crypto,#finserv [515] #futureofwork,#insurtech [447] martinhoyes,#csr Top Word Pairs in Tweet in G5:
[13] earthaccounting,darshanik [9] control,trillions [9] trillions,investment [9] investment,dollars [9] dollars,push [9] push,companies [9] companies,change [8] advanceesg,control [8] change,#e [7] advanceesg,companies Top Word Pairs in Tweet in G6:
[39] standard,ethics [31] #corpgov,#sri [31] #sri,#sustainablefinance [29] #esg,#corpgov [29] #sustainablefinance,#investmentgrade [25] #investmentgrade,#complyingwiththefuture [21] #rating,#esg [14] #sustainability,#ratings [14] #sustainability,#rating [7] #ratings,#esg Top Word Pairs in Tweet in G7:
[4] googleexpertuk,drumeshprabhu [4] drumeshprabhu,braincures [3] suzanne_garrett,proftimnoakes [3] proftimnoakes,preventbullying [2] braincures,thepeopleshubuk [2] thepeopleshubuk,petejacksongmp [2] petejacksongmp,suzanne_garrett [2] preventbullying,gentlewomanboss [2] gentlewomanboss,cheriewhite691 [2] cheriewhite691,judithcarmody1 Top Word Pairs in Tweet in G8:
[4] onerous,rules [4] rules,#impactinvesting [4] #impactinvesting,trust [4] trust,lawyers [4] lawyers,miss [4] miss,chance [4] chance,make [4] make,things [4] things,complicated [4] complicated,#corpgov Top Word Pairs in Tweet in G9:
[325] #corpgov,togovern [108] yahoo,finance [107] finance,#corpgov [35] moody's,assigns [26] #accounting,#audit [23] outlook,stable [22] stable,yahoo [17] inc,moody's [17] #corpgov,#esg [16] prnewswire,#corpgov Top Word Pairs in Tweet in G10:
[16] #esg,#corpgov [14] written,responses [8] #corpgov,#susty [7] fresh,press [7] press,sec [7] sec,written [7] responses,action [7] action,return [7] return,believe [7] believe,written 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 G9:
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:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: