The graph represents a network of 1,008 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 February 2022 at 04:10 UTC.
The requested start date was Sunday, 06 February 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, 5-hour, 28-minute period from Sunday, 23 January 2022 at 02:08 UTC to Friday, 04 February 2022 at 07:36 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 : 1008
Unique Edges : 1042
Edges With Duplicates : 4933
Total Edges : 5975
Number of Edge Types : 5
Retweet : 1248
MentionsInRetweet : 2039
Tweet : 1000
Mentions : 1640
Replies to : 48
Self-Loops : 1120
Reciprocated Vertex Pair Ratio : 0.0613026819923372
Reciprocated Edge Ratio : 0.115523465703971
Connected Components : 106
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 774
Maximum Edges in a Connected Component : 5605
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.618412
Graph Density : 0.00163734808719913
Modularity : 0.222968
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,008 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 February 2022 at 04:10 UTC.
The requested start date was Sunday, 06 February 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, 5-hour, 28-minute period from Sunday, 23 January 2022 at 02:08 UTC to Friday, 04 February 2022 at 07:36 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:
[594] #corpgov,togovern [466] martinhoyes,#hrtech [283] #csr,#shrm [266] #hr,#csr [250] #hrtech,#corpgov [249] #corpgov,#hr [249] #shrm,#startup [152] yahoo,finance [152] finance,#corpgov [138] #hrtech,podcast Top Word Pairs in Tweet in G1:
[78] #corpgov,#ceo [76] #ceo,#cfo [56] #board,#boardofdirectors [56] harvardcorpgov,posted [55] #boardofdirectors,#governance [55] #corpgov,#grc [48] #esg,#grc [33] #cfo,#chro [32] #chro,#hcm [31] #corpgov,#esg Top Word Pairs in Tweet in G2:
[48] #corpgov,togovern [34] #corpgov,#ceo [34] #ceo,#cfo [31] #board,#boardofdirectors [30] #boardofdirectors,#governance [24] #esg,#grc [17] #csr,#corpgov [16] #cfo,#chro [16] #corpgov,#grc [15] #chro,#hcm Top Word Pairs in Tweet in G3:
[24] imperative,transform [22] nonprofit,boards [22] boards,become [21] report,imperative [20] transform,nonprofit [17] thrilled,share [16] share,report [16] become,dei [16] dei,2025 [15] #dei,#corpgov Top Word Pairs in Tweet in G4:
[453] martinhoyes,#hrtech [277] #csr,#shrm [261] #hr,#csr [245] #hrtech,#corpgov [244] #corpgov,#hr [244] #shrm,#startup [136] #hrtech,podcast [122] kseals,discuss [112] #csr,#corpgov [103] podcast,staceyharrishr Top Word Pairs in Tweet in G5:
[15] #esg,#corpgov [7] togovern,corpgovnet [7] #esg,#climateaction [6] alicekorngold,competia [6] competia,globalethicist [6] globalethicist,scarlettebrown [6] scarlettebrown,cvoneck [6] corpgovnet,grancioj [6] offset,market [6] market,help Top Word Pairs in Tweet in G6:
[12] #corpgov,#esg [10] #esg,#boardofdirectors [4] learn,more [4] #corpgov,#governancesolutions [3] climate,change [3] harvard,law [3] law,school [2] coming,wave [2] wave,reform [2] #governance,#corporate Top Word Pairs in Tweet in G7:
[3] do_kinder,dohadebates [3] dohadebates,thepeopleshubuk [3] thepeopleshubuk,suzanne_garrett [3] suzanne_garrett,taranaburke [3] taranaburke,twovizthink [3] twovizthink,thinktastic [3] thinktastic,wendyeslater [2] braincures,do_kinder [2] wendyeslater,drumeshprab Top Word Pairs in Tweet in G8:
[41] standard,ethics [26] #corpgov,#sri [26] #sri,#sustainablefinance [26] #sustainablefinance,#investmentgrade [25] #esg,#corpgov [25] #investmentgrade,#complyingwiththefuture [16] #sustainability,#rating [15] #rating,#esg [11] ethics,#inthenews [6] #complyingwiththefuture,#banks Top Word Pairs in Tweet in G9:
[26] twitter's,announcement [26] announcement,quit [26] quit,taking [26] taking,action [26] action,against [26] against,lies [26] lies,2020 [26] 2020,election [26] election,square [25] nancylevine,twitter's Top Word Pairs in Tweet in G10:
[10] #esg,#corpgov [9] #proxyseason,#esg [6] shareholder,proposal [5] virtual,meetings [5] meetings,need [5] need,provide [5] provide,same [5] same,opportunities [5] opportunities,shareholders [5] shareholders,person Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: