The graph represents a network of 1,569 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, 20 June 2021 at 03:10 UTC.
The requested start date was Sunday, 20 June 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, 25-minute period from Sunday, 06 June 2021 at 00:57 UTC to Saturday, 19 June 2021 at 07:22 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 : 1569
Unique Edges : 1651
Edges With Duplicates : 3966
Total Edges : 5617
Number of Edge Types : 5
Retweet : 814
MentionsInRetweet : 1447
Tweet : 1319
Mentions : 1970
Replies to : 67
Self-Loops : 1407
Reciprocated Vertex Pair Ratio : 0.0458047945205479
Reciprocated Edge Ratio : 0.0875972165370446
Connected Components : 115
Single-Vertex Connected Components : 63
Maximum Vertices in a Connected Component : 1338
Maximum Edges in a Connected Component : 5211
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.217109
Graph Density : 0.000993011927524356
Modularity : 0.358665
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,569 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, 20 June 2021 at 03:10 UTC.
The requested start date was Sunday, 20 June 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, 25-minute period from Sunday, 06 June 2021 at 00:57 UTC to Saturday, 19 June 2021 at 07:22 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:
[349] #corpgov,togovern [156] #esg,#corpgov [120] #corpgov,#ceo [114] #ceo,#cfo [99] #corpgov,#esg [88] #board,#boardofdirectors [86] board,directors [85] corporate,governance [67] #esg,#grc [63] #boardofdirectors,#directorship Top Word Pairs in Tweet in G1:
[9] wb_uk,whistleuk [8] laserhaas01,drumeshprabhu [8] drumeshprabhu,wb_uk [8] whistleuk,govacctproj [8] govacctproj,awhistleblowing [8] awhistleblowing,whistleblowing [8] whistleblowing,whistleblowat [8] whistleblowat,euwhistleblower [7] braincures,laserhaas01 [7] shesrideordie,googleexpertuk Top Word Pairs in Tweet in G2:
[46] non,executive [43] #esg,#corpgov [40] #corpgov,#esg [34] executive,director [28] corporate,governance [28] director,#corpgov [26] #nonexecs,#corpgov [20] #corpgov,#ceo [18] #ceo,#cfo [18] #board,#boardofdirectors Top Word Pairs in Tweet in G3:
[100] #corpgov,#ceo [95] #ceo,#cfo [69] #board,#boardofdirectors [55] #esg,#grc [51] #boardofdirectors,#directorship [45] #cfo,#chro [44] #csr,#sustainability [39] #chro,#hcm [36] #directorship,#governance [35] #sustainability,#adp Top Word Pairs in Tweet in G4:
[28] #esg,#corpgov [25] #corpgov,#esg [22] board,directors [12] #corpgov,#governance [9] directors,#corpgov [8] #governance,#corpgov [7] register,#icgn21 [7] renee,jones [7] john,coates [7] theofrancis,maloneyfiles Top Word Pairs in Tweet in G5:
[22] watch,live [14] harvardcorpgov,posted [11] #gcgc2021,#ecgievents [11] #ecgievents,#corpgov [11] climate,change [10] live,#gcgc2021 [10] #corpgov,#business [10] #business,#stewardship [9] 6th,annual [9] annual,gcgc Top Word Pairs in Tweet in G6:
[30] board,directors [29] directors,#corpgov [22] #esgys,#esg [20] inc,board [19] #esg,#corpgov [14] #esgys,#corpgov [13] #moderngovernance,#corpgov [7] #corpgov,#esg [7] #corpgov,#csr [7] ransomware,attacks Top Word Pairs in Tweet in G7:
[12] #proxyseason,#esg [12] #corpgov,#execpay [11] #esg,#corpgov [11] vote,against [8] #execpay,#ceopay [7] committee,chair [7] #execcomp,#corpgov [7] executive,compensation [6] june,21 [6] compensation,summit Top Word Pairs in Tweet in G8:
[12] #corpgov,#leadership [10] #cxo,#cto [10] #cto,#cmo [10] #cmo,#cfo [10] #cfo,#radio [10] #radio,#tv [10] #tv,#csuite [10] #csuite,#vc [10] #vc,#privateequity [10] #privateequity,#media Top Word Pairs in Tweet in G9:
[31] #esg,#corpgov [31] #corpgov,#sri [31] #sri,#sustainablefinance [31] #sustainablefinance,#investmentgrade [30] standard,ethics [28] #investmentgrade,#complyingwiththefuture [19] #sustainability,#rating [17] #ratings,#esg [11] #rating,#esg [9] #sustainability,#ratings Top Word Pairs in Tweet in G10:
[344] #corpgov,togovern [26] corporate,governance [23] globenewswire,#corpgov [19] business,wire [19] wire,#corpgov [18] board,directors [13] times,#corpgov [13] shareholder,alert [12] news,#corpgov [12] prnewswire,#corpgov 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: