The graph represents a network of 1,098 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, 15 May 2022 at 03:26 UTC.
The requested start date was Sunday, 15 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, 6-hour, 32-minute period from Sunday, 01 May 2022 at 00:48 UTC to Saturday, 14 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 : 1098
Unique Edges : 1128
Edges With Duplicates : 4843
Total Edges : 5971
Number of Edge Types : 5
Retweet : 1060
MentionsInRetweet : 1661
Tweet : 1100
Mentions : 2096
Replies to : 54
Self-Loops : 1285
Reciprocated Vertex Pair Ratio : 0.0373395565927655
Reciprocated Edge Ratio : 0.0719910011248594
Connected Components : 105
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 931
Maximum Edges in a Connected Component : 5712
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.952764
Graph Density : 0.00147612382171612
Modularity : 0.250928
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,098 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, 15 May 2022 at 03:26 UTC.
The requested start date was Sunday, 15 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, 6-hour, 32-minute period from Sunday, 01 May 2022 at 00:48 UTC to Saturday, 14 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 [250] #esg,#corpgov [165] #corpgov,#wef [165] #insurtech,#csuite [163] #wef,#finserv [162] #finserv,#csr [149] #salesforce,#corpgov [147] #csr,#crm [147] #crm,#insurtech [142] #corpgov,#socialgood Top Word Pairs in Tweet in G1:
[68] #esg,#corpgov [64] #corpgov,#esg [53] #corpgov,#grc [32] #proxyseason,#esg [29] #corpgov,#ceo [28] #corpgov,#susty [26] #ceo,#cfo [25] #boardofdirectors,#governance [23] #execpay,#ceopay [23] #board,#boardofdirectors Top Word Pairs in Tweet in G2:
[151] #corpgov,#wef [151] #insurtech,#csuite [150] #wef,#finserv [149] #esg,#corpgov [149] #finserv,#csr [137] #salesforce,#corpgov [136] #csr,#crm [136] #crm,#insurtech [131] #corpgov,#socialgood [130] #nonprofits,#nonprofit Top Word Pairs in Tweet in G3:
[668] #corpgov,#esg [49] corporate,governance [44] pr,newswire [44] newswire,#corpgov [44] sec,gag [44] gag,orders [44] orders,against [44] against,public [44] public,policy [43] globenewswire,#corpgov Top Word Pairs in Tweet in G4:
[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 [2] highpaycentre,9am Top Word Pairs in Tweet in G5:
[9] corporate,governance [4] #climate,#governance [4] world,economic [4] economic,forum [4] health,care [3] هیات,مدیره [3] proxy,statements [3] join,upcoming [3] 1pm,sign [3] sign,free Top Word Pairs in Tweet in G6:
[25] gobierno,corporativo [19] corporativo,práctica [19] práctica,realidades [19] realidades,problemas [19] problemas,soluciones [18] estudio,técnico [18] técnico,2016 [18] 2016,actualizado [18] actualizado,2019 [17] soluciones,estudio Top Word Pairs in Tweet in G7:
[71] #ceo,#cfo [66] #corpgov,#ceo [52] #boardofdirectors,#governance [48] #board,#boardofdirectors [47] #esg,#grc [32] #governance,#compensationcommittee [30] #cfo,#chro [22] #chro,#hcm [21] #cfo,#cio [19] #hcm,#hr Top Word Pairs in Tweet in G8:
[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 Word Pairs in Tweet in G9:
[21] companies,reacted [21] reacted,silence [21] silence,scotus [21] scotus,draft [21] draft,ruling [21] ruling,#roevswade [21] #roevswade,pwc [21] pwc,oracle [21] oracle,jpmorgan [21] jpmorgan,chase Top Word Pairs in Tweet in G10:
[9] latin,america [8] ecgi,blog [8] blog,edition [8] edition,today [8] today,spotlight [8] spotlight,latin [8] america,featuring [8] featuring,articles [8] articles,guest [8] guest,editor Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
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: