The graph represents a network of 1,540 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, 14 February 2021 at 02:51 UTC.
The requested start date was Sunday, 14 February 2021 at 01:01 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, 5-hour, 10-minute period from Sunday, 31 January 2021 at 03:11 UTC to Saturday, 13 February 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 : 1540
Unique Edges : 1558
Edges With Duplicates : 4774
Total Edges : 6332
Number of Edge Types : 5
Retweet : 884
MentionsInRetweet : 1334
Mentions : 2751
Tweet : 1278
Replies to : 85
Self-Loops : 1362
Reciprocated Vertex Pair Ratio : 0.040887342322749
Reciprocated Edge Ratio : 0.0785624738821563
Connected Components : 128
Single-Vertex Connected Components : 69
Maximum Vertices in a Connected Component : 1260
Maximum Edges in a Connected Component : 5874
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.997561
Graph Density : 0.00100967907985452
Modularity : 0.310326
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 1,540 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, 14 February 2021 at 02:51 UTC.
The requested start date was Sunday, 14 February 2021 at 01:01 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, 5-hour, 10-minute period from Sunday, 31 January 2021 at 03:11 UTC to Saturday, 13 February 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:
[347] #corpgov,togovern [156] #corpgov,#ceo [153] #ceo,#cfo [145] board,directors [120] #board,#boardofdirectors [111] #boardofdirectors,#directorship [110] #nonexecs,#corpgov [100] #corpgov,#esg [95] corporate,governance [92] #esg,#corpgov Top Word Pairs in Tweet in G1:
[6] shesrideordie,googleexpertuk [6] googleexpertuk,shades_dirty [6] shades_dirty,drumeshprabhu [6] drumeshprabhu,braincures [4] do_kinder,shesrideordie [4] braincures,proftimnoakes [4] proftimnoakes,gentlewomanboss [4] gentlewomanboss,judithcarmody1 [4] jeremyfarrar,michelle_cruk [4] michelle_cruk,ukri_ceo Top Word Pairs in Tweet in G2:
[110] #nonexecs,#corpgov [65] board,directors [39] #ceo,#cfo [38] #corpgov,#ceo [31] #boardofdirectors,#directorship [31] non,executive [30] #board,#boardofdirectors [27] directors,#nonexecs [24] director,#nonexecs [23] #directorship,#governance Top Word Pairs in Tweet in G3:
[63] #hrtech,#futureofwork [58] #learning,#diversity [54] #fcpa,#corpgov [53] #deib,#learning [51] #csr,#purpose [49] attempt,murder [49] murder,ge [49] ge,#ge [49] #ge,#fcpa [49] #corpgov,whistleblower Top Word Pairs in Tweet in G4:
[342] #corpgov,togovern [60] harvardcorpgov,posted [49] #corpgov,#esg [34] corporate,governance [31] yahoo,finance [31] finance,#corpgov [27] proxy,season [23] globenewswire,#corpgov [22] 2021,proxy [22] prnewswire,#corpgov Top Word Pairs in Tweet in G5:
[106] #corpgov,#ceo [105] #ceo,#cfo [87] #board,#boardofdirectors [80] #boardofdirectors,#directorship [68] #directorship,#governance [44] #esg,#grc [38] #compensationcommittee,#auditcommittee [37] #governance,#compensationcommittee [36] #auditcommittee,#nomgov [31] #chro,#hcm Top Word Pairs in Tweet in G6:
[32] standard,ethics [32] #esg,#corpgov [30] #corpgov,#sri [30] #sustainablefinance,#investmentgrade [28] #sri,#sustainablefinance [28] #investmentgrade,#complyingwiththefuture [18] #sustainability,#rating [12] #ratings,#esg [9] #rating,#calendar [9] #sustainability,#ratings Top Word Pairs in Tweet in G7:
[14] #corpgov,#leadership [14] #leadership,#boardofdirectors [6] board,moves [4] corporate,governance [4] human,capital [3] sustainability,esg [3] esg,governance [3] governance,factor [3] factor,means [3] means,businesses Top Word Pairs in Tweet in G8:
[10] first,issue [10] issue,today [10] today,weak [10] weak,signals [10] signals,trends [10] trends,competia [10] competia,#corpgov [10] #corpgov,#bmgen [9] #bmgen,#strategy [8] competia,first Top Word Pairs in Tweet in G9:
[17] corporate,governance [13] muzaffar69,corpgov' [13] corpgov',news [11] top,story [11] see,more [10] #sustainability,#corpgov [9] sustainable,corporate [7] eucorpreporting,cdsbglobal [7] cdsbglobal,webinar [6] commissioner,dreynders Top Word Pairs in Tweet in G10:
[21] #governance,#corpgov [19] board,directors [14] population,latino [14] latino,facebook [14] facebook,netflix [14] netflix,paypal [14] paypal,latinos [14] latinos,corporate [14] corporate,boards [14] #corpgov,#boardofdirectors Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G10: