The graph represents a network of 1,377 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, 14 November 2021 at 04:11 UTC.
The requested start date was Sunday, 14 November 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 13-day, 4-hour, 12-minute period from Sunday, 31 October 2021 at 03:20 UTC to Saturday, 13 November 2021 at 07:32 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 : 1377
Unique Edges : 1328
Edges With Duplicates : 3904
Total Edges : 5232
Number of Edge Types : 5
Mentions : 2094
Retweet : 821
MentionsInRetweet : 1312
Tweet : 954
Replies to : 51
Self-Loops : 1027
Reciprocated Vertex Pair Ratio : 0.0458715596330275
Reciprocated Edge Ratio : 0.087719298245614
Connected Components : 116
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 1094
Maximum Edges in a Connected Component : 4772
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 4.002598
Graph Density : 0.00108299133606931
Modularity : 0.332921
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,377 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, 14 November 2021 at 04:11 UTC.
The requested start date was Sunday, 14 November 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 13-day, 4-hour, 12-minute period from Sunday, 31 October 2021 at 03:20 UTC to Saturday, 13 November 2021 at 07:32 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:
[639] #corpgov,togovern [133] corporate,governance [126] #esg,#corpgov [117] #corpgov,#ceo [114] #ceo,#cfo [107] #aml,#crypto [104] #boardofdirectors,#governance [104] #csr,#corpgov [100] #board,#boardofdirectors [93] #wef,#datagovernance Top Word Pairs in Tweet in G1:
[5] do_kinder,braincures [5] shesrideordie,googleexpertuk [5] googleexpertuk,shades_dirty [5] shades_dirty,drumeshprabhu [5] drumeshprabhu,braincures [4] icijorg,drumeshprabhu [4] industry,clocked [4] wb_uk,corpgovuk [4] evidencebase_im,techscommit [3] doctorow,proftimnoakes Top Word Pairs in Tweet in G2:
[110] #corpgov,#ceo [108] #ceo,#cfo [107] #aml,#crypto [101] #csr,#corpgov [100] #boardofdirectors,#governance [95] #board,#boardofdirectors [93] #wef,#datagovernance [93] #insurtech,#fintech [92] #datagovernance,#futureofwork [88] #finserv,#wef Top Word Pairs in Tweet in G3:
[50] harvardcorpgov,posted [25] #corpgov,#esg [20] #corpgov,#sec [16] #accounting,#audit [14] corporate,governance [14] sec_news,#corpgov [12] corporate,law [9] posted,sec [9] posted,speech [9] speech,commissioner Top Word Pairs in Tweet in G4:
[591] #corpgov,togovern [59] finance,#corpgov [56] yahoo,finance [51] corporate,governance [26] news,#corpgov [25] shareholder,alert [25] times,#corpgov [25] globenewswire,#corpgov [23] business,wire [23] wire,#corpgov Top Word Pairs in Tweet in G5:
[29] standard,ethics [27] #esg,#corpgov [27] #corpgov,#sri [27] #sri,#sustainablefinance [27] #sustainablefinance,#investmentgrade [26] #investmentgrade,#complyingwiththefuture [18] #rating,#esg [16] #sustainability,#rating [8] #sustainability,#ratings [7] #ratings,issued Top Word Pairs in Tweet in G6:
[5] #corpgov,#esg [4] #esg,#corpgov [4] #corpgov,#governance [3] proxy,season [2] board,effectiveness [2] ãƒ,トリã [2] トリã,ム[2] ãƒ,ム[2] discuss,key [2] virtual,event Top Word Pairs in Tweet in G7:
[33] corporate,governance [17] global,virtual [17] virtual,summit [14] icgncorpgov,#icgn21 [12] #icgn21,global [11] #esg,#corpgov [11] âž,co [11] #icgn21,pleased [10] governance,network [10] pleased,present Top Word Pairs in Tweet in G8:
[14] #esg,#corpgov [13] #esg,#csr [9] #csr,#sri [6] #corpgov,#esg [6] alicekorngold,competia [6] competia,globalethicist [6] globalethicist,followalisont [6] followalisont,moreiratricia [6] moreiratricia,scarlettebrown [6] scarlettebrown,cvoneck Top Word Pairs in Tweet in G9:
[37] #corpgov,#grc [30] #corpgov,#cga21 [21] #grc,#esg [13] corporate,secretary [13] corporate,governance [11] governance,awards [11] large,cap [9] secretary,forum [9] awards,2021 [9] cap,presented Top Word Pairs in Tweet in G10:
[23] #esg,#corpgov [14] first,time [13] #corpgov,#susty [11] cost,capital [11] capital,spikes [11] spikes,fossil [11] fossil,fuel [11] fuel,producers [11] producers,year [11] year,mark 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 Replied-To in G10:
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: