The graph represents a network of 2,093 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 October 2020 at 01:50 UTC.
The requested start date was Sunday, 25 October 2020 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, 17-hour, 43-minute period from Sunday, 11 October 2020 at 00:06 UTC to Saturday, 24 October 2020 at 17:50 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 : 2093
Unique Edges : 2208
Edges With Duplicates : 7148
Total Edges : 9356
Number of Edge Types : 5
Mentions : 3297
Retweet : 1676
MentionsInRetweet : 2841
Tweet : 1456
Replies to : 86
Self-Loops : 1576
Reciprocated Vertex Pair Ratio : 0.0263534803781152
Reciprocated Edge Ratio : 0.0513536142897014
Connected Components : 122
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 1842
Maximum Edges in a Connected Component : 8971
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.697424
Graph Density : 0.000818306309203308
Modularity : 0.307431
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,093 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 October 2020 at 01:50 UTC.
The requested start date was Sunday, 25 October 2020 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, 17-hour, 43-minute period from Sunday, 11 October 2020 at 00:06 UTC to Saturday, 24 October 2020 at 17:50 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:
[355] #corpgov,togovern [306] news,corp [244] owned,rupert [244] rupert,murdoch's [244] murdoch's,news [202] #ceo,#cfo [200] #corpgov,#ceo [192] propaganda,machine [191] ny,owned [191] corp,trump Top Word Pairs in Tweet in G1:
[14] do_kinder,braincures [9] braincures,jeremyfarrar [9] jeremyfarrar,michelle_cruk [9] michelle_cruk,ukri_ceo [9] ukri_ceo,universitiesuk [9] universitiesuk,union_newsuk [9] union_newsuk,evidencebase_im [9] evidencebase_im,techscommit [9] techscommit,1752group [8] do_kinder,andrewp94729485 Top Word Pairs in Tweet in G2:
[300] news,corp [240] owned,rupert [240] rupert,murdoch's [240] murdoch's,news [189] propaganda,machine [188] ny,owned [188] corp,trump [188] trump,propaganda [188] machine,dismantling [188] dismantling,democracy Top Word Pairs in Tweet in G3:
[167] gt,gt [100] #governance,#corpgov [92] #risk,#regulation [78] #regulation,#compliance [64] #grc,#risk [63] #fcpa,#corpgov [59] ge,#ge [59] #ge,#fcpa [59] #corpgov,whistleblower [59] whistleblower,seema Top Word Pairs in Tweet in G4:
[337] #corpgov,togovern [42] corporate,governance [30] #corpgov,#ceo [27] #ceo,#cfo [26] #esg,#corpgov [26] author,boardsbook [25] listen,patrickedunne [25] #boards,#boardsbook [24] chair,author [22] harvardcorpgov,posted Top Word Pairs in Tweet in G5:
[79] harvardcorpgov,posted [78] #corpgov,#esg [55] #corpgov,#grc [39] corporate,governance [32] #esg,#corpgov [25] #execpay,#corpgov [24] virtual,annual [21] enforcement,action [20] covid,19 [19] general,counsel Top Word Pairs in Tweet in G6:
[133] #corpgov,#ceo [132] #ceo,#cfo [118] #board,#boardofdirectors [118] #boardofdirectors,#directorship [95] #directorship,#governance [69] #esg,#grc [63] #hrtech,#hr [57] #governance,#compensationcommittee [55] #compensationcommittee,#auditcommittee [55] #auditcommittee,#nomgov Top Word Pairs in Tweet in G7:
[39] standard,ethics [30] #sustainablefinance,#investmentgrade [30] #corpgov,#sri [30] #sri,#sustainablefinance [29] #esg,#corpgov [27] #investmentgrade,#complyingwiththefuture [24] #sustainability,#rating [13] #sustainability,#ratings [10] #ratings,#esg [9] today,standard Top Word Pairs in Tweet in G8:
[6] #corpgov,#esg [5] corporate,governance [5] #corpgov,#boardofdirectors [5] #internalaudit,#corpgov [4] board,members [4] hls,corp [4] corp,gov [4] gov,forum [3] report,finds [3] finds,unapproved Top Word Pairs in Tweet in G9:
[28] economics,environment [28] environment,social [28] social,equity [28] equity,sustmeme [28] sustmeme,magazine [28] magazine,stories [11] #corpgov,#covid19 [10] sustmeme,economics [4] stories,ilo [4] ilo,neilchawkins Top Word Pairs in Tweet in G10:
[22] corporate,governance [16] governance,initiative [10] initiative,series [10] series,eu [10] sustainable,corporate [10] oxfordblb,'corporate [9] law,corporate [9] corporate,psychopaths' [9] psychopaths',benedict [9] benedict,sheehy Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
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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: