The graph represents a network of 952 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, 16 October 2022 at 03:26 UTC.
The requested start date was Sunday, 16 October 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, 7-hour, 16-minute period from Sunday, 02 October 2022 at 00:08 UTC to Saturday, 15 October 2022 at 07:24 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 : 952
Unique Edges : 939
Edges With Duplicates : 2980
Total Edges : 3919
Number of Edge Types : 5
Retweet : 767
MentionsInRetweet : 952
Tweet : 850
Mentions : 1300
Replies to : 50
Self-Loops : 997
Reciprocated Vertex Pair Ratio : 0.0499254843517139
Reciprocated Edge Ratio : 0.0951029098651526
Connected Components : 111
Single-Vertex Connected Components : 57
Maximum Vertices in a Connected Component : 703
Maximum Edges in a Connected Component : 3555
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.992631
Graph Density : 0.00155630075373998
Modularity : 0.313044
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 952 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, 16 October 2022 at 03:26 UTC.
The requested start date was Sunday, 16 October 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, 7-hour, 16-minute period from Sunday, 02 October 2022 at 00:08 UTC to Saturday, 15 October 2022 at 07:24 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:
[361] #corpgov,#esg [247] #esg,#corpgov [211] #lawyeroftheyear,#keystonelaw [195] #conflictofiinterest,#esg [128] #hrtech,#hr [122] #hr,#legaltech [119] #legaltech,#hranalytics [106] #salesforce,#cx [105] #hranalytics,#salesforce [98] #legal,#solicitor Top Word Pairs in Tweet in G1:
[208] #lawyeroftheyear,#keystonelaw [160] #corpgov,#esg [139] #esg,#corpgov [112] #conflictofiinterest,#esg [98] #legal,#solicitor [94] #lawfirm,#corpgov [94] #law,#lawfirm [94] #solicitorfirm,#law [94] #solicitor,#solicitors [94] #solicitors,#solicitorfirm Top Word Pairs in Tweet in G2:
[65] #corpgov,#ceo [64] #ceo,#cfo [49] #board,#boardofdirectors [43] #boardofdirectors,#governance [27] #cfo,#chro [26] #governance,#compensationcommittee [25] #grc,#esg [19] #compensationcommittee,#auditcommittee [19] #auditcommittee,#nomgov [18] boards,consider Top Word Pairs in Tweet in G3:
[41] harvardcorpgov,posted [22] #corpgov,#esg [11] proxy,season [9] disclosure,proposals [9] big,three [8] green,energy [8] critical,minerals [8] supply,chains [8] esg,landscape [8] energy,depends Top Word Pairs in Tweet in G4:
[17] hey,dineshdsouza [17] dineshdsouza,hey [17] œpublishing,errorâ [17] errorâ,prompted [17] prompted,publisher [16] boycott,divest [15] defund,#fascism [15] nancylevine,dineshdsouza [13] #2000mules,book [13] issue,full Top Word Pairs in Tweet in G5:
[9] corporate,governance [5] disclosures,closing [5] cyber,governance [5] governance,disclosures [5] harvard,law [5] closing,gaps [4] school,forum [4] learn,more [4] #corpgov,#corporategovernance [4] forum,corporate Top Word Pairs in Tweet in G6:
[2] johon_gutierrez,nikogryzko [2] nikogryzko,saneeyaq [2] jengwenbrown,braincures [2] keir_starmer,johon_gutierrez [2] asollowayuk,keir_starmer [2] phil_baty,asollowayuk [2] saneeyaq,clare_viney [2] braincures,phil_baty Top Word Pairs in Tweet in G7:
[123] #hrtech,#hr [117] #hr,#legaltech [114] #legaltech,#hranalytics [101] #salesforce,#cx [100] #hranalytics,#salesforce [70] martinhoyes,#hrtech [51] learn,more [47] help,#hr [43] #hr,#legal [40] #cx,#salesforce Top Word Pairs in Tweet in G8:
[21] ø,ù [14] ù,ø [13] ø,ø [8] ceo,dr [8] dr,ashraf [8] hawkamah,ceo [7] #esg,#corpgov [7] #corpgov,#esg [5] ù,ù [5] seoul,conference Top Word Pairs in Tweet in G9:
[142] #corpgov,#esg [88] #esg,#corpgov [83] #conflictofiinterest,#esg [17] conflict,interest [14] corporate,governance [7] news,#corpgov [6] news,#conflictofiinterest [5] conflicts,interest [5] #esg,##conflictofinterest [5] blackrock,based Top Word Pairs in Tweet in G10:
[8] barsallocarlos,#corpgov [7] #corpgov,#gobiernocorporativo [5] #corpgov,#aml [5] #gobiernocorporativo,#fraude [5] #fraude,#cumplimiento [5] #cumplimiento,#compliance [5] #corpgov,#panama [5] #compliance,#riesgo [4] gestión,riesgos [4] #aml,#blanqueo Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G10: