The graph represents a network of 1,464 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, 03 October 2021 at 03:13 UTC.
The requested start date was Sunday, 03 October 2021 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, 49-minute period from Sunday, 19 September 2021 at 00:31 UTC to Saturday, 02 October 2021 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 : 1464
Unique Edges : 1530
Edges With Duplicates : 5377
Total Edges : 6907
Number of Edge Types : 5
Mentions : 2355
Tweet : 1169
MentionsInRetweet : 2123
Replies to : 65
Retweet : 1195
Self-Loops : 1297
Reciprocated Vertex Pair Ratio : 0.038074398249453
Reciprocated Edge Ratio : 0.0733558178752108
Connected Components : 95
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 1272
Maximum Edges in a Connected Component : 6535
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.932439
Graph Density : 0.00110746314370128
Modularity : 0.292893
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,464 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, 03 October 2021 at 03:13 UTC.
The requested start date was Sunday, 03 October 2021 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, 49-minute period from Sunday, 19 September 2021 at 00:31 UTC to Saturday, 02 October 2021 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:
[655] #corpgov,togovern [195] #finserv,#insurtech [186] #fintech,#finserv [159] #legaltech,#corpgov [149] #deib,#hranalytics [147] martinhoyes,#regtech [140] #peopleanalytics,#deib [133] #futureofwork,#csr [131] #esg,#corpgov [131] #insurtech,#legaltech Top Word Pairs in Tweet in G1:
[11] drumeshprabhu,braincures [11] taranaburke,twovizthink [11] twovizthink,thinktastic [11] thinktastic,wendyeslater [9] dohadebates,thepeopleshubuk [9] thepeopleshubuk,suzanne_garrett [9] suzanne_garrett,taranaburke [8] googleexpertuk,drumeshprabhu [8] do_kinder,braincures [7] braincures,do_kinder Top Word Pairs in Tweet in G2:
[69] #corpgov,#grc [39] #corpgov,#esg [36] harvardcorpgov,posted [35] #corpgov,#ceo [30] #esg,#corpgov [30] #grc,#esg [28] #ceo,#cfo [26] general,counsel [25] #board,#boardofdirectors [25] #accounting,#audit Top Word Pairs in Tweet in G3:
[18] #convencionanualigep,2021 [17] 12,30 [16] 30,hs [15] #corpgov,#esg [14] gobierno,corporativo [11] 29,sep [10] sep,12 [9] corporate,boards [9] boards,#argentina [9] #argentina,gobernar Top Word Pairs in Tweet in G4:
[25] harvardcorpgov,posted [21] #esg,#corpgov [12] #corpgov,#esg [8] #netzero,#climateaction [7] advisory,committee [7] #execpay,#ceopay [7] #climateaction,#climatechange [7] #corpgov,#sustainability [7] gt,gt [6] #wachtell,#corpgov Top Word Pairs in Tweet in G5:
[45] eventbrite,something [45] something,charliekirk11 [44] corporate,america [44] america,pick [44] pick,side [44] side,fascism [44] fascism,bad [44] bad,business [44] business,eventbrite [43] nancylevine,corporate Top Word Pairs in Tweet in G6:
[185] #finserv,#insurtech [177] #fintech,#finserv [153] #legaltech,#corpgov [144] #deib,#hranalytics [140] martinhoyes,#regtech [132] #peopleanalytics,#deib [127] #insurtech,#legaltech [127] #futureofwork,#csr [114] #corpgov,#digitaltransformation [114] #digitaltransformation,#futureofwork Top Word Pairs in Tweet in G7:
[8] watchdog,given [8] given,companies [8] companies,until [8] until,end [8] end,year [8] year,stop [8] stop,greenwashing [8] greenwashing,#esg [8] #esg,#climate [8] #climate,#sri Top Word Pairs in Tweet in G8:
[35] standard,ethics [33] #esg,#corpgov [30] #corpgov,#sri [30] #sri,#sustainablefinance [30] #sustainablefinance,#investmentgrade [29] #investmentgrade,#complyingwiththefuture [18] #sustainability,#rating [17] #rating,#esg [14] #sustainability,#ratings [12] #ratings,issued Top Word Pairs in Tweet in G9:
[23] #nonexecs,#corpgov [13] non,executive [10] director,#nonexecs [9] executive,director [4] five,essential [4] essential,strategy [4] strategy,questions [4] questions,boards [4] boards,asking [4] read,more Top Word Pairs in Tweet in G10:
[636] #corpgov,togovern [46] finance,#corpgov [45] corporate,governance [45] yahoo,finance [29] prnewswire,#corpgov [23] jd,supra [23] supra,#corpgov [23] wire,#corpgov [19] business,wire [18] mondaq,news Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: