The graph represents a network of 1,789 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, 25 April 2021 at 03:06 UTC.
The requested start date was Sunday, 25 April 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, 7-hour, 39-minute period from Sunday, 11 April 2021 at 01:05 UTC to Saturday, 24 April 2021 at 08:45 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 : 1789
Unique Edges : 1825
Edges With Duplicates : 4573
Total Edges : 6398
Number of Edge Types : 5
Tweet : 1432
Retweet : 906
MentionsInRetweet : 1755
Mentions : 2218
Replies to : 87
Self-Loops : 1521
Reciprocated Vertex Pair Ratio : 0.0379697791553661
Reciprocated Edge Ratio : 0.0731616274729377
Connected Components : 156
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 1423
Maximum Edges in a Connected Component : 5825
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.741518
Graph Density : 0.000837519367049193
Modularity : 0.351697
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,789 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, 25 April 2021 at 03:06 UTC.
The requested start date was Sunday, 25 April 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, 7-hour, 39-minute period from Sunday, 11 April 2021 at 01:05 UTC to Saturday, 24 April 2021 at 08:45 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:
[421] #corpgov,togovern [170] #esg,#corpgov [138] #corpgov,#ceo [135] #ceo,#cfo [115] #corpgov,#esg [114] corporate,governance [104] board,directors [94] #esgys,#esg [83] #board,#boardofdirectors [82] #esg,#grc Top Word Pairs in Tweet in G1:
[21] drumeshprabhu,braincures [15] shesrideordie,googleexpertuk [15] googleexpertuk,shades_dirty [15] shades_dirty,drumeshprabhu [13] do_kinder,shesrideordie [13] do_kinder,braincures [11] evidencebase_im,techscommit [9] braincures,delusionalacad1 [9] delusionalacad1,proftimnoakes [9] proftimnoakes,angelasuttner Top Word Pairs in Tweet in G2:
[399] #corpgov,togovern [58] corporate,governance [51] #corpgov,#grc [46] #corpgov,#esg [26] finance,#corpgov [24] prnewswire,#corpgov [24] yahoo,finance [23] shareholder,alert [23] non,executive [23] harvardcorpgov,posted Top Word Pairs in Tweet in G3:
[86] #esgys,#esg [63] #esg,#corpgov [38] #wellbeing,#nonprofit [33] #hranalytics,#wellbeing [30] #deib,#diversity [24] #esgys,#corpgov [23] #corpgov,#csr [21] #learning,#upskilling [18] #corpgov,#sustainability [18] #esg,report Top Word Pairs in Tweet in G4:
[66] #nonexecs,#corpgov [51] non,executive [32] executive,director [22] director,#nonexecs [22] #corpgov,togovern [21] #corpgov,#esg [19] #leadership,#boardofdirectors [18] #esg,#corpgov [18] #corpgov,#leadership [16] #racialequityaudit,proposal Top Word Pairs in Tweet in G5:
[120] #corpgov,#ceo [117] #ceo,#cfo [71] #board,#boardofdirectors [71] #esg,#grc [61] #boardofdirectors,#directorship [52] #directorship,#governance [48] #chro,#hcm [39] #cfo,#esg [27] #cfo,#chro [27] #cfo,#cio Top Word Pairs in Tweet in G6:
[24] dashboard,#corpgov [24] #corpgov,#esg [19] use,dashboard [14] dashboard,help [14] company,initiatives [10] boards,start [10] start,oversight [10] oversight,diversity [10] diversity,inclusion [10] inclusion,initiatives Top Word Pairs in Tweet in G7:
[35] standard,ethics [31] #esg,#corpgov [30] #corpgov,#sri [28] #sri,#sustainablefinance [28] #sustainablefinance,#investmentgrade [27] #investmentgrade,#complyingwiththefuture [17] #sustainability,#ratings [15] #sustainability,#rating [12] issued,standard [12] #ratings,#esg Top Word Pairs in Tweet in G8:
[25] board,directors [15] appointed,california [15] california,based [11] latinodirectors,congrats [10] recent,appointment [8] latino,board [8] congratulations,#equilardiversitynetwork [8] #equilardiversitynetwork,member [6] #diversityincludeslatinos,#corpgov [6] msn_money,statement Top Word Pairs in Tweet in G9:
[13] corp,gov [10] stanford,corp [10] gov,updates [10] updates,core [10] core,concept [10] concept,series [10] series,concept [10] concept,guides [10] guides,provide [10] provide,overviews Top Word Pairs in Tweet in G10:
[10] getting,women [10] women,back [10] back,workforce [10] workforce,priority [10] priority,fed [10] fed,less [10] less,women [10] women,exploit [9] exploit,higher [9] higher,wage Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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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:
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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: