The graph represents a network of 1,322 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, 05 June 2022 at 03:26 UTC.
The requested start date was Sunday, 05 June 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 12-day, 3-hour, 57-minute period from Sunday, 22 May 2022 at 03:47 UTC to Friday, 03 June 2022 at 07:45 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 : 1322
Unique Edges : 1391
Edges With Duplicates : 4426
Total Edges : 5817
Number of Edge Types : 5
Mentions : 1840
Replies to : 51
Tweet : 983
MentionsInRetweet : 1888
Retweet : 1055
Self-Loops : 1088
Reciprocated Vertex Pair Ratio : 0.0452003727865797
Reciprocated Edge Ratio : 0.0864913062862238
Connected Components : 87
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 1050
Maximum Edges in a Connected Component : 5374
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.72834
Graph Density : 0.00128438433726799
Modularity : 0.322957
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,322 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, 05 June 2022 at 03:26 UTC.
The requested start date was Sunday, 05 June 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 12-day, 3-hour, 57-minute period from Sunday, 22 May 2022 at 03:47 UTC to Friday, 03 June 2022 at 07:45 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:
[548] #esg,#corpgov [302] #conflictofiinterest,#esg [279] #corpgov,#esg [225] board,directors [175] tesla,board [141] directors,doing [140] #csr,#corpgov [138] doing,protect [138] protect,tsla [138] tsla,shareholders Top Word Pairs in Tweet in G1:
[103] #ceo,#cfo [96] #corpgov,#ceo [64] #esg,#corpgov [63] #boardofdirectors,#governance [59] #esg,#grc [57] #corpgov,#esg [54] #corpgov,#grc [49] #board,#boardofdirectors [48] #governance,#compensationcommittee [46] #cfo,#chro Top Word Pairs in Tweet in G2:
[193] board,directors [168] tesla,board [132] directors,doing [129] doing,protect [129] protect,tsla [129] tsla,shareholders [105] musk,liability [103] dear,tesla [103] shareholders,musk [103] liability,#corpgov Top Word Pairs in Tweet in G3:
[132] #csr,#corpgov [106] #hranalytics,#csuite [94] #corpgov,#hranalytics [89] #csuite,#hrtech [88] #nonprofits,#nonprofit [84] #hrtech,#nptech [83] googleplay,apple [82] #nptech,#shrm [82] #shrm,#techsoup [81] adviseresg,googleplay Top Word Pairs in Tweet in G4:
[5] proftimnoakes,angelasuttner [4] shesrideordie,googleexpertuk [4] googleexpertuk,shades_dirty [4] shades_dirty,drumeshprabhu [4] drumeshprabhu,braincures [4] braincures,delusionalacad1 [4] delusionalacad1,proftimnoakes [4] shades_dirty,googleexpertuk [4] googleexpertuk,drumeshprabhu [4] drumeshprabhu,do_kinder Top Word Pairs in Tweet in G5:
[52] harvardcorpgov,posted [29] #corpgov,#esg [19] #esg,#corpgov [12] esg,disclosures [11] posted,statement [10] board,composition [10] sec_news,#corpgov [10] #xrpcommunity,hesterpeirce [10] hesterpeirce,views [10] views,comments Top Word Pairs in Tweet in G6:
[272] #esg,#corpgov [192] #conflictofiinterest,#esg [100] #corpgov,#esg [18] conflict,interest [16] news,#conflictofiinterest [14] bny,mellon [13] #esg,#board [13] #board,#cosec [13] #cosec,#leadership [13] corporate,governance Top Word Pairs in Tweet in G7:
[50] start,friendly [50] friendly,enough [50] enough,understand [50] understand,exactly [50] exactly,billing [50] billing,works [50] works,much [50] much,law [50] law,firm [50] firm,resist Top Word Pairs in Tweet in G8:
[4] corporate,governance [3] sa,corpgov [3] 1pm,sign [3] sign,free [3] free,#corpgov [2] market,volatility [2] volatility,risk [2] risk,agreements [2] harvard,law [2] law,school Top Word Pairs in Tweet in G9:
[8] corporations,#covid19 [6] #corpgov,#ecgievent [5] ecgi,blog [5] blog,edition [5] edition,today [5] today,featuring [5] featuring,articles [5] articles,sirronniecohen [5] sirronniecohen,dr [5] dr,alan Top Word Pairs in Tweet in G10:
[95] #esg,#corpgov [86] #conflictofiinterest,#esg [82] #corpgov,#esg [16] #esg,#boardofdirectors [8] business,wire [8] news,#conflictofiinterest [7] wire,#corpgov [7] conflict,interest [7] mary,ng [7] ng,under 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 G5:
Top Replied-To in G6:
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: