The graph represents a network of 1,030 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 December 2021 at 04:11 UTC.
The requested start date was Sunday, 05 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, 21-hour, 11-minute period from Sunday, 21 November 2021 at 07:54 UTC to Saturday, 04 December 2021 at 05:05 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 : 1030
Unique Edges : 988
Edges With Duplicates : 5208
Total Edges : 6196
Number of Edge Types : 5
Retweet : 1339
MentionsInRetweet : 2078
Mentions : 1758
Tweet : 984
Replies to : 37
Self-Loops : 1062
Reciprocated Vertex Pair Ratio : 0.0404858299595142
Reciprocated Edge Ratio : 0.0778210116731518
Connected Components : 109
Single-Vertex Connected Components : 58
Maximum Vertices in a Connected Component : 789
Maximum Edges in a Connected Component : 5793
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.698981
Graph Density : 0.00145489541170143
Modularity : 0.211247
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,030 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 December 2021 at 04:11 UTC.
The requested start date was Sunday, 05 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, 21-hour, 11-minute period from Sunday, 21 November 2021 at 07:54 UTC to Saturday, 04 December 2021 at 05:05 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:
[661] #corpgov,togovern [514] #aml,#crypto [461] #csr,#corpgov [434] #insurtech,#fintech [424] #wef,#datagovernance [419] #datagovernance,#futureofwork [416] #finserv,#wef [412] #corpgov,#aml [412] #fintech,#regtech [409] #crypto,#finserv Top Word Pairs in Tweet in G1:
[4] do_kinder,dohadebates [4] dohadebates,thepeopleshubuk [4] thepeopleshubuk,suzanne_garrett [4] suzanne_garrett,taranaburke [4] taranaburke,twovizthink [4] twovizthink,thinktastic [4] thinktastic,wendyeslater [4] laserhaas01,drumeshprabhu [4] drumeshprabhu,wb_uk [4] wb_uk,whistleuk Top Word Pairs in Tweet in G2:
[73] #corpgov,togovern [49] #corpgov,#grc [30] #corpgov,#gobernanza [28] #corpgov,#esg [23] #ceo,#cfo [22] #csr,#corpgov [22] #corpgov,#ceo [22] #boardofdirectors,#governance [21] general,counsel [21] corporate,governance Top Word Pairs in Tweet in G3:
[494] #aml,#crypto [439] #csr,#corpgov [415] #insurtech,#fintech [406] #wef,#datagovernance [401] #datagovernance,#futureofwork [399] #finserv,#wef [397] #corpgov,#aml [395] #crypto,#finserv [392] #fintech,#regtech [388] #futureofwork,#insurtech Top Word Pairs in Tweet in G4:
[51] harvardcorpgov,posted [20] #corpgov,#esg [13] shearmanlaw,#corpgov [12] corporate,governance [11] #corpgov,#boards [10] #corpgov,#ceo [8] posted,risks [8] risks,those [8] those,facilitate [8] facilitate,ransomware Top Word Pairs in Tweet in G5:
[22] #esg,#corpgov [9] #csr,#sri [8] earthaccounting,darshanik [8] #esg,#shareholderadvocacy [8] alicekorngold,competia [7] #sri,#climateaction [7] competia,globalethicist [7] globalethicist,followalisont [6] #corpgov,#sustainability [6] followalisont,moreiratricia Top Word Pairs in Tweet in G6:
[12] #ceo,#ceos [12] #ceos,#cxo [12] #cxo,#cto [12] #cto,#cmo [12] #cmo,#cfo [12] #cfo,#radio [12] #radio,#tv [12] #tv,#csuite [12] #csuite,#vc [12] #vc,#media Top Word Pairs in Tweet in G7:
[53] #accounting,#audit [33] #audit,#cfo [27] #cfo,#corpgov [13] #esg,#corpgov [8] #dei,#corpgov [6] #corpgov,#accounting [6] #corpgov,#esg [6] #audit,#corpgov [6] #corpgov,#cfo [6] internal,auditors Top Word Pairs in Tweet in G8:
[33] standard,ethics [30] #corpgov,#sri [29] #esg,#corpgov [29] #sri,#sustainablefinance [28] #sustainablefinance,#investmentgrade [27] #investmentgrade,#complyingwiththefuture [20] #sustainability,#rating [14] #ratings,#esg [10] press,release [10] release,standard Top Word Pairs in Tweet in G9:
[586] #corpgov,togovern [62] yahoo,finance [54] finance,#corpgov [50] corporate,governance [36] shareholder,alert [32] concurso,infografías [32] ley,56 [31] 25,11 [31] 11,21 [30] 21,#corpgov Top Word Pairs in Tweet in G10:
[8] #corpgov,#womenonboard [4] corporate,board [4] board,diversity [4] #corpgov,#boarddiversity [4] independent,director [4] #womenonboard,#corpgov [3] #moderngovernance,#corpgov [3] learn,modernize [3] modernize,#esg [3] #esg,management 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 G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: