The graph represents a network of 1,855 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, 18 April 2021 at 03:08 UTC.
The requested start date was Sunday, 18 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, 16-minute period from Sunday, 04 April 2021 at 01:06 UTC to Saturday, 17 April 2021 at 08:22 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 : 1855
Unique Edges : 1748
Edges With Duplicates : 4337
Total Edges : 6085
Number of Edge Types : 5
Retweet : 1017
MentionsInRetweet : 1805
Mentions : 1888
Replies to : 76
Tweet : 1299
Self-Loops : 1373
Reciprocated Vertex Pair Ratio : 0.0277355623100304
Reciprocated Edge Ratio : 0.0539741219963031
Connected Components : 133
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 1597
Maximum Edges in a Connected Component : 5658
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.905539
Graph Density : 0.000786526981800841
Modularity : 0.384873
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,855 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, 18 April 2021 at 03:08 UTC.
The requested start date was Sunday, 18 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, 16-minute period from Sunday, 04 April 2021 at 01:06 UTC to Saturday, 17 April 2021 at 08:22 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:
[391] #corpgov,togovern [165] #esg,#corpgov [128] #corpgov,#ceo [124] #ceo,#cfo [123] corporate,governance [122] twitter,allowing [122] allowing,mike [122] mike,huckabee's [122] huckabee's,anti [117] anti,asian Top Word Pairs in Tweet in G1:
[15] shesrideordie,googleexpertuk [15] googleexpertuk,shades_dirty [15] shades_dirty,drumeshprabhu [15] drumeshprabhu,braincures [13] do_kinder,shesrideordie [12] do_kinder,braincures [9] braincures,jeremyfarrar [9] jeremyfarrar,michelle_cruk [9] michelle_cruk,ukri_ceo [9] ukri_ceo,universitiesuk Top Word Pairs in Tweet in G2:
[123] #corpgov,#ceo [120] #ceo,#cfo [95] #board,#boardofdirectors [85] #boardofdirectors,#directorship [79] #esg,#grc [66] #directorship,#governance [57] #cfo,#esg [56] #corpgov,#grc [47] #chro,#hcm [35] #compensationcommittee,#auditcommittee Top Word Pairs in Tweet in G3:
[89] #esgys,#esg [74] #esg,#corpgov [21] #corpgov,#csr [20] #deib,#diversity [20] #wellbeing,#nonprofit [18] #hranalytics,#wellbeing [17] #dei,#dandi [16] #esgys,#corpgov [16] #sustainability,report [15] #corpgov,#sustainability Top Word Pairs in Tweet in G4:
[33] #corpgov,#esg [12] #racialequityaudit,proposal [11] shareholder,proposals [10] #esg,#corpgov [10] barsallocarlos,#corpgov [10] #corpgov,#racialjustice [9] dual,class [9] class,shares [9] problem,somebody [9] somebody,getting Top Word Pairs in Tweet in G5:
[122] twitter,allowing [122] allowing,mike [122] mike,huckabee's [122] huckabee's,anti [117] anti,asian [117] asian,tweet [117] tweet,stand [116] twitter's,largest [116] largest,institutional [116] institutional,shareholders Top Word Pairs in Tweet in G6:
[24] harvardcorpgov,posted [20] corporate,governance [12] looking,forward [12] forward,exciting [12] exciting,event [12] event,habida [12] habida,cuenta [12] cuenta,complejidad [12] complejidad,tema [12] tema,asignado Top Word Pairs in Tweet in G7:
[107] summary,activist [107] activist,shareholder [107] shareholder,advocating [107] advocating,use [107] use,tax [107] tax,payer [107] payer,funded [107] funded,pensions [107] pensions,bypass [106] amybeephoenix,summary Top Word Pairs in Tweet in G8:
[39] #corpgov,togovern [18] #corpgov,#sportsgov [17] class,action [15] action,lawsuit [15] non,executive [15] corporate,governance [15] #governance,#corpgov [13] kessler,topaz [13] topaz,meltzer [13] meltzer,check Top Word Pairs in Tweet in G9:
[28] board,directors [18] appointed,california [18] california,based [14] latinodirectors,congrats [12] #accounting,#audit [10] recent,appointment [10] #diversity,#equity [10] #equity,#inclusion [8] congratulations,#equilardiversitynetwork [8] #equilardiversitynetwork,member Top Word Pairs in Tweet in G10:
[18] #corpgov,#esg [17] dashboard,#corpgov [14] use,dashboard [14] #corpgov,#leadership [14] #leadership,#boardofdirectors [13] muzaffar69,corpgov' [13] corpgov',news [9] dashboard,help [9] company,initiatives [8] boards,start Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
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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:
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Top Tweeters in G10: