The graph represents a network of 1,106 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, 06 March 2022 at 04:11 UTC.
The requested start date was Sunday, 06 March 2022 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 12-day, 6-hour, 4-minute period from Sunday, 20 February 2022 at 01:38 UTC to Friday, 04 March 2022 at 07:42 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 : 1106
Unique Edges : 1326
Edges With Duplicates : 5227
Total Edges : 6553
Number of Edge Types : 5
MentionsInRetweet : 2060
Mentions : 2106
Retweet : 1290
Replies to : 41
Tweet : 1056
Self-Loops : 1186
Reciprocated Vertex Pair Ratio : 0.046738572162301
Reciprocated Edge Ratio : 0.0893032384690873
Connected Components : 83
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 921
Maximum Edges in a Connected Component : 6235
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.581132
Graph Density : 0.00166758037197352
Modularity : 0.245524
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,106 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, 06 March 2022 at 04:11 UTC.
The requested start date was Sunday, 06 March 2022 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 12-day, 6-hour, 4-minute period from Sunday, 20 February 2022 at 01:38 UTC to Friday, 04 March 2022 at 07:42 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:
[424] #corpgov,togovern [216] #hr,#hrtech [189] #hrtech,#csr [187] #smbs,#hiring [176] #corpgov,#hr [154] #hrtech,#shrm [150] martinhoyes,#hrtech [147] #csr,#shrm [141] corpgovuk,togovern [135] #esg,#corpgov Top Word Pairs in Tweet in G1:
[4] braincures,do_kinder [3] do_kinder,dohadebates [3] dohadebates,thepeopleshubuk [3] thepeopleshubuk,suzanne_garrett [3] suzanne_garrett,taranaburke [3] taranaburke,twovizthink [3] twovizthink,thinktastic [3] thinktastic,wendyeslater [3] braincures,time [3] time,many Top Word Pairs in Tweet in G2:
[70] #corpgov,#ceo [64] #ceo,#cfo [59] harvardcorpgov,posted [40] #board,#boardofdirectors [40] #boardofdirectors,#governance [36] #esg,#grc [33] #accounting,#audit [22] #cfo,#chro [22] #corpgov,#esg [21] #governance,#auditcommittee Top Word Pairs in Tweet in G3:
[46] #corpgov,#grc [37] #smbs,#hiring [29] #hrtech,#shrm [28] martinhoyes,#hrtech [26] #shrm,#hr [26] #hr,#smbs [26] #corpgov,#corporategovernance [25] #corpgov,togovern [24] #esg,#corpgov [19] #corpgov,#ceo Top Word Pairs in Tweet in G4:
[396] #corpgov,togovern [211] #hr,#hrtech [186] #hrtech,#csr [169] #corpgov,#hr [150] #smbs,#hiring [141] #csr,#shrm [139] corpgovuk,togovern [127] #wef,#corpgov [125] #shrm,#startup [125] #hrtech,#shrm Top Word Pairs in Tweet in G5:
[26] #esg,#corpgov [13] alicekorngold,competia [13] competia,globalethicist [13] globalethicist,scarlettebrown [13] scarlettebrown,cvoneck [13] cvoneck,martinhoyes [12] martinhoyes,togovern [12] togovern,corpgovnet [12] corpgovnet,grancioj [8] grancioj,proxymatch Top Word Pairs in Tweet in G6:
[8] corporate,governance [3] harvard,law [3] law,school [3] 2021,trends [3] trends,expectations [3] expectations,2022 [2] credit,suisse [2] supreme,court [2] court,pro [2] pro,business Top Word Pairs in Tweet in G7:
[16] #esg,#corpgov [16] #corpgov,#esg [11] #proxyseason,#esg [9] #execpay,#ceopay [8] #corpgov,#execpay [8] corporate,accountability [7] again,remind [7] remind,people [7] people,typing [7] typing,sound Top Word Pairs in Tweet in G8:
[8] #corpgov,#womenonboard [5] #boarddiversity,#corpgov [4] #board,#boardofdirectors [4] #corpgov,#boarddiversity [4] #boardofdirectors,independent [4] independent,director [3] usatoday,directors [3] directors,added [3] added,public [3] public,company Top Word Pairs in Tweet in G9:
[6] corporate,governance [6] ft,#corpgov [6] very,pleased [6] pleased,see [6] see,names [6] names,#postofficescandal [6] #postofficescandal,#royalmail [6] #royalmail,bosses [6] bosses,appearing [6] appearing,#adamcrozier Top Word Pairs in Tweet in G10:
[15] those,looking [15] looking,delighted [15] delighted,share [15] share,international [15] international,law [15] law,boardroom [14] kish_parella,those [14] boardroom,forthcomi [12] #corporatepurpose,misleading [12] working,paper Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 G9:
Top Tweeters in G10: