The graph represents a network of 1,703 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, 04 July 2021 at 03:10 UTC.
The requested start date was Sunday, 04 July 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, 20-minute period from Sunday, 20 June 2021 at 01:04 UTC to Saturday, 03 July 2021 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 : 1703
Unique Edges : 1851
Edges With Duplicates : 4359
Total Edges : 6210
Number of Edge Types : 5
Tweet : 1328
MentionsInRetweet : 1586
Mentions : 2376
Retweet : 839
Replies to : 81
Self-Loops : 1407
Reciprocated Vertex Pair Ratio : 0.0411786928598413
Reciprocated Edge Ratio : 0.079100145137881
Connected Components : 115
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 1444
Maximum Edges in a Connected Component : 5723
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.828999
Graph Density : 0.000950834671378979
Modularity : 0.358073
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,703 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, 04 July 2021 at 03:10 UTC.
The requested start date was Sunday, 04 July 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, 20-minute period from Sunday, 20 June 2021 at 01:04 UTC to Saturday, 03 July 2021 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:
[350] #corpgov,togovern [192] #esg,#corpgov [157] #corpgov,#ceo [150] corporate,governance [145] #ceo,#cfo [110] #board,#boardofdirectors [86] #esg,#grc [79] board,directors [73] #corpgov,#esg [62] harvardcorpgov,posted Top Word Pairs in Tweet in G1:
[13] braincures,do_kinder [9] drumeshprabhu,braincures [8] googleexpertuk,drumeshprabhu [8] wb_uk,whistleuk [8] taranaburke,twovizthink [8] twovizthink,thinktastic [8] thinktastic,wendyeslater [7] do_kinder,andrewp94729485 [7] andrewp94729485,tracyaustin_ [7] tracyaustin_,jengwenbrown Top Word Pairs in Tweet in G2:
[348] #corpgov,togovern [147] #corpgov,#ceo [140] #ceo,#cfo [106] #board,#boardofdirectors [84] #esg,#grc [59] corporate,governance [59] harvardcorpgov,posted [59] #corpgov,#grc [56] #esg,#corpgov [56] #boardofdirectors,#directorship Top Word Pairs in Tweet in G3:
[35] #esg,#corpgov [16] #proxyseason,#esg [12] non,executive [11] #corpgov,#climateaction [11] directors,#corpgov [11] director,#corpgov [10] #governance,#corpgov [10] #corpgov,#execpay [9] #climateaction,#climatechange [9] board,directors Top Word Pairs in Tweet in G4:
[14] gobierno,corporativo [14] #esg,#corpgov [12] curiosidad,panameña [12] panameña,#gobierno [12] #gobierno,#corporativo [12] #corporativo,empresas [12] empresas,estado [12] estado,accionista [12] accionista,problema [12] problema,típico Top Word Pairs in Tweet in G5:
[22] #csr,#sustainability [19] #esgys,#esg [16] martinhoyes,#csr [13] #esgys,#corpgov [13] #sustainability,#adp [13] #hranalytics,#hr [12] #esg,#corpgov [10] #charitable,#giving [10] #giving,#timebanking [10] #timebanking,#community Top Word Pairs in Tweet in G6:
[35] standard,ethics [30] #esg,#corpgov [30] #corpgov,#sri [29] #sri,#sustainablefinance [29] #sustainablefinance,#investmentgrade [29] #investmentgrade,#complyingwiththefuture [18] #sustainability,#rating [13] #sustainability,#ratings [12] #ratings,#esg [9] today,standard Top Word Pairs in Tweet in G7:
[14] #esg,#corpgov [11] board,directors [6] #climate,#esg [6] always,disclosing [6] year,stakeholder [5] #corpgov,#esg [5] incredible,movement [5] movement,#esg [5] #esg,climate [5] climate,fight Top Word Pairs in Tweet in G8:
[13] muzaffar69,corpgov' [13] corpgov',news [11] corporate,governance [8] #smartgovernance,#agile [8] #agile,#modern [8] #modern,#corpgov [7] #corpgov,#chainofcommand [7] #chainofcommand,#enterprise [6] demo,#smartgovernance [6] #enterprise,#enterprisegovernance Top Word Pairs in Tweet in G9:
[12] appointed,california [12] california,based [12] #corpgov,#esg [11] board,directors [10] latinodirectors,congratulations [10] directors,learn [10] inc,nasdaq [9] learn,more [8] more,#lcdaontherise [7] congratulations,#equilardiversitynetwork Top Word Pairs in Tweet in G10:
[37] corporate,governance [18] oecd_bizfin,oecd [14] oecd,report [14] capital,markets [13] report,future [13] future,corporate [13] governance,capital [13] markets,presents [13] presents,trends [13] trends,used Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: