The graph represents a network of 1,611 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, 24 May 2020 at 05:30 UTC.
The requested start date was Sunday, 24 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 5-hour, 12-minute period from Sunday, 10 May 2020 at 02:00 UTC to Saturday, 23 May 2020 at 07:12 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 : 1611
Unique Edges : 1384
Edges With Duplicates : 7292
Total Edges : 8676
Number of Edge Types : 5
Retweet : 1096
MentionsInRetweet : 1624
Mentions : 4605
Replies to : 90
Tweet : 1261
Self-Loops : 1317
Reciprocated Vertex Pair Ratio : 0.051897078063672
Reciprocated Edge Ratio : 0.0986733001658375
Connected Components : 110
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 1272
Maximum Edges in a Connected Component : 7932
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.861561
Graph Density : 0.000929942052118394
Modularity : 0.237441
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 1,611 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, 24 May 2020 at 05:30 UTC.
The requested start date was Sunday, 24 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 5-hour, 12-minute period from Sunday, 10 May 2020 at 02:00 UTC to Saturday, 23 May 2020 at 07:12 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 G2:
[63] #corpgov,togovern [61] #nonexecs,#corpgov [35] #governance,#corpgov [32] ge,#ge [28] seema,sapra [26] #regulation,#compliance [25] covid,19 [23] #corpgov,whistleblower [23] whistleblower,#metoo [23] #metoo,survivor Top Word Pairs in Tweet in G3:
[54] #corpgov,togovern [32] ge,#ge [29] seema,sapra [29] #corpgov,whistleblower [28] whistleblower,#metoo [27] #metoo,survivor [27] survivor,seema [27] cpdelhi,statedept [27] realdonaldtrump,fbi [27] delhipolice,cpdelhi Top Word Pairs in Tweet in G4:
[235] dgurdasani1,morimahmoudi [170] morimahmoudi,reneebleau [165] reneebleau,suzanne_garrett [164] suzanne_garrett,stop_utk_now [164] evidencebase_im,braincures [164] braincures,marikas [164] stop_utk_now,dbetteracademia [157] dbetteracademia,evidencebase_im [156] dbetteracademia,dgurdasani1 [156] stop_utk_now,evidencebase_im Top Word Pairs in Tweet in G5:
[8] #corpgov,#ceo [8] #ceo,#cfo [8] #boardofdirectors,#directorship [8] #board,#boardofdirectors [8] #directorship,#governance [5] #esg,#grc [4] #compensationcommittee,#auditcommittee [4] #auditcommittee,#nomgov [4] #governance,#compensationcommittee [4] #cfo,#chro Top Word Pairs in Tweet in G6:
[118] standard,ethics [115] #corpgov,#sri [102] #sri,#sustainablefinance [101] #sustainablefinance,#investmentgrade [91] #investmentgrade,#complyingwiththefuture [73] #esg,#corpgov [48] #sustainability,#rating [48] #sustainability,#ratings [46] #ratings,#esg [38] press,release Top Word Pairs in Tweet in G7:
[28] lgim,re [28] re,putting [27] putting,pressure [24] pressure,#exxonmobil [21] #exxonmobil,improve [20] improve,#corpgov [12] #corpgov,take [9] take,action [8] action,#climateemergency [7] #climateemergency,world Top Word Pairs in Tweet in G8:
[10] #corpgov,#governance [7] #corpgov,#audit [7] barsallocarlos,#corpgov [7] audit,governance [7] ft,#corpgov [7] #corpgov,#bankruptcy [7] #bankruptcy,robbarsallo [7] robbarsallo,allan_binns [7] allan_binns,nycesar [7] nycesar,ggekko1pty Top Word Pairs in Tweet in G9:
[9] cc,corpgovresearch [8] #nfp,#nonprofit [7] #corpgov,cc [5] #corpgov,#compliance [5] report,finds [4] #bupa,#agedcare [4] #agedcare,cops [4] cops,6m [4] 6m,fine [4] fine,under Top Word Pairs in Tweet in G10:
[12] fernandes_shai,jagertwee [10] jagertwee,0987654321id [9] 0987654321id,benniedoorsnee [8] benniedoorsnee,jb_hilterman [8] jb_hilterman,possiblywim [7] possiblywim,yapo_el_guapo [7] yapo_el_guapo,boomgaardtim [7] boomgaardtim,bourgonje [7] bourgonje,buzztruus [7] buzztruus,ger19511 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: