The graph represents a network of 1,236 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, 22 May 2022 at 03:27 UTC.
The requested start date was Sunday, 22 May 2022 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, 4-hour, 37-minute period from Sunday, 08 May 2022 at 02:43 UTC to Saturday, 21 May 2022 at 07:20 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 : 1236
Unique Edges : 1216
Edges With Duplicates : 5688
Total Edges : 6904
Number of Edge Types : 5
Mentions : 2365
Retweet : 1258
MentionsInRetweet : 1999
Tweet : 1210
Replies to : 72
Self-Loops : 1415
Reciprocated Vertex Pair Ratio : 0.0383604834471886
Reciprocated Edge Ratio : 0.0738866396761134
Connected Components : 100
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 1038
Maximum Edges in a Connected Component : 6604
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.043041
Graph Density : 0.00129449838187702
Modularity : 0.24623
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,236 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, 22 May 2022 at 03:27 UTC.
The requested start date was Sunday, 22 May 2022 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, 4-hour, 37-minute period from Sunday, 08 May 2022 at 02:43 UTC to Saturday, 21 May 2022 at 07:20 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:
[759] #corpgov,#esg [290] #esg,#corpgov [196] #insurtech,#csuite [165] #wef,#finserv [137] #corpgov,#wef [125] #corpgov,#socialgood [125] #salesforce,#crm [124] #nonprofits,#nonprofit [117] #crm,#insurtech [112] #finserv,#csr Top Word Pairs in Tweet in G1:
[254] #corpgov,#esg [189] #insurtech,#csuite [180] #esg,#corpgov [159] #wef,#finserv [133] #corpgov,#wef [117] #corpgov,#socialgood [116] #nonprofits,#nonprofit [115] #salesforce,#crm [115] #crm,#insurtech [109] #finserv,#csr Top Word Pairs in Tweet in G2:
[94] #corpgov,#esg [55] #corpgov,#grc [52] #esg,#corpgov [39] harvardcorpgov,posted [30] #accounting,#audit [27] #grc,#esg [26] #corpgov,#corporategovernance [22] general,counsel [20] #corpgov,#ceo [20] corporate,governance Top Word Pairs in Tweet in G3:
[28] #corpgov,#oligarchs [28] nminow,#corpgov [25] gobierno,corporativo [19] corporativo,práctica [19] práctica,realidades [19] realidades,problemas [19] problemas,soluciones [18] estudio,técnico [18] técnico,2016 [18] 2016,actualizado Top Word Pairs in Tweet in G4:
[77] #ceo,#cfo [73] #corpgov,#ceo [51] #boardofdirectors,#governance [50] #board,#boardofdirectors [48] #esg,#grc [36] #cfo,#chro [33] #governance,#compensationcommittee [23] #chro,#hcm [21] #hcm,#hr [20] #compensationcommittee,#auditcommittee Top Word Pairs in Tweet in G5:
[19] #corpgov,#esg [11] corporate,governance [11] harvardcorpgov,posted [11] latin,america [8] shareholder,proposals [8] ecgi,blog [8] blog,edition [8] edition,today [8] today,spotlight [8] spotlight,latin Top Word Pairs in Tweet in G6:
[65] tesla,board [65] board,directors [65] breach,fiduciary [65] fiduciary,duty [65] duty,tsla [65] tsla,shareholders [63] directors,risk [63] risk,breach [63] shareholders,continue [63] continue,allow Top Word Pairs in Tweet in G7:
[31] #esg,#corpgov [25] #proxyseason,#esg [18] #corpgov,#susty [16] shareholder,proposal [12] #execpay,#ceopay [11] #proxyseason,#corpgov [11] comment,period [11] really,good [11] good,concentrated [11] concentrated,ownership Top Word Pairs in Tweet in G8:
[10] corporate,governance [9] united,states [8] 2012,corporations [8] corporations,effectively [8] effectively,captured [8] captured,united [8] states,judiciary [8] judiciary,political [8] political,system [6] wydmindfeersart,2012 Top Word Pairs in Tweet in G9:
[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 G10:
[8] together,#sdgs [8] #sdgs,brighter [8] brighter,future [8] future,adamrogers2030 [8] adamrogers2030,gaellemogli [8] gaellemogli,bryankgreenberg [8] bryankgreenberg,wogemu [8] wogemu,greennewdeal_eu [7] #climatecrisis,#climateemergency [5] greennewdeal_eu,unaccc7 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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: