The graph represents a network of 1,476 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, 29 May 2022 at 03:26 UTC.
The requested start date was Sunday, 29 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 12-day, 4-hour, 54-minute period from Sunday, 15 May 2022 at 02:46 UTC to Friday, 27 May 2022 at 07:41 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 : 1476
Unique Edges : 1545
Edges With Duplicates : 5100
Total Edges : 6645
Number of Edge Types : 5
Mentions : 2047
Replies to : 59
MentionsInRetweet : 2216
Retweet : 1261
Tweet : 1062
Self-Loops : 1167
Reciprocated Vertex Pair Ratio : 0.0378756689995883
Reciprocated Edge Ratio : 0.0729869099563665
Connected Components : 89
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 1194
Maximum Edges in a Connected Component : 6208
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.861798
Graph Density : 0.0011579624270819
Modularity : 0.324475
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,476 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, 29 May 2022 at 03:26 UTC.
The requested start date was Sunday, 29 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 12-day, 4-hour, 54-minute period from Sunday, 15 May 2022 at 02:46 UTC to Friday, 27 May 2022 at 07:41 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:
[641] #corpgov,#esg [309] board,directors [283] #esg,#corpgov [243] tesla,board [206] tsla,shareholders [141] directors,doing [138] doing,protect [138] protect,tsla [133] #salesforce,#crm [111] musk,liability Top Word Pairs in Tweet in G1:
[265] board,directors [239] tesla,board [200] tsla,shareholders [135] directors,doing [132] doing,protect [132] protect,tsla [107] musk,liability [105] dear,tesla [105] shareholders,musk [105] liability,#corpgov Top Word Pairs in Tweet in G2:
[114] #esg,#corpgov [113] #corpgov,#esg [47] harvardcorpgov,posted [46] #corpgov,#grc [30] #proxyseason,#esg [29] #grc,#esg [26] corporate,governance [20] #corpgov,#corporategovernance [19] #corpgov,#susty [19] #csr,#sri Top Word Pairs in Tweet in G3:
[248] #corpgov,#esg [123] #salesforce,#crm [102] #insurtech,#csuite [100] #wef,#finserv [87] #csr,#datagovernance [82] #datagovernance,#wef [82] #finserv,#cx [81] #futureofwork,#corpgov [71] #hranalytics,#csuite [71] #crm,#futureofwork Top Word Pairs in Tweet in G4:
[5] proftimnoakes,angelasuttner [4] shades_dirty,googleexpertuk [4] googleexpertuk,drumeshprabhu [4] drumeshprabhu,do_kinder [4] do_kinder,thepeopleshubuk [4] thepeopleshubuk,delusionalacad1 [4] delusionalacad1,tracyboylin [4] tracyboylin,petejacksongmp [4] shesrideordie,googleexpertuk [4] googleexpertuk,shades_dirty Top Word Pairs in Tweet in G5:
[27] #corpgov,#oligarchs [27] nminow,#corpgov [7] gobierno,corporativo [7] moderna,cfo [7] cfo,departs [7] departs,first [7] first,week [7] week,job [7] job,hired [7] hired,cfo Top Word Pairs in Tweet in G6:
[71] #ceo,#cfo [69] #corpgov,#ceo [43] #esg,#grc [43] #boardofdirectors,#governance [40] #board,#boardofdirectors [33] #cfo,#chro [32] #governance,#compensationcommittee [22] #compensationcommittee,#auditcommittee [20] #chro,#hcm [19] #hcm,#hr Top Word Pairs in Tweet in G7:
[258] #corpgov,#esg [100] #esg,#corpgov [24] business,wire [23] wire,#corpgov [20] #conflictofiinterest,#esg [19] corporate,governance [15] pr,newswire [15] newswire,#corpgov [14] bny,mellon [11] times,#corpgov Top Word Pairs in Tweet in G8:
[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 G9:
[5] corporate,governance [3] harvard,law [3] law,school [3] esg,task [3] task,force [3] force,brings [3] brings,first [3] first,case [3] value,creation [3] 1pm,sign Top Word Pairs in Tweet in G10:
[14] #civilrightsaudit,proposal [12] vote,proposal [9] proposal,mcdonald's [8] shareholder,proposals [8] colorofchange,president [8] proposal,#10 [7] civil,rights [7] amzn,agm [7] mcdonald's,presented [7] presented,colorofchange 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 G5:
Top Replied-To in G7:
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:
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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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: