The graph represents a network of 1,081 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, 23 May 2021 at 03:06 UTC.
The requested start date was Sunday, 23 May 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 6-day, 6-hour, 19-minute period from Sunday, 09 May 2021 at 01:03 UTC to Saturday, 15 May 2021 at 07:22 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 : 1081
Unique Edges : 1054
Edges With Duplicates : 2485
Total Edges : 3539
Number of Edge Types : 5
MentionsInRetweet : 1069
Retweet : 515
Mentions : 1252
Tweet : 663
Replies to : 40
Self-Loops : 721
Reciprocated Vertex Pair Ratio : 0.0282637954239569
Reciprocated Edge Ratio : 0.0549738219895288
Connected Components : 89
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 859
Maximum Edges in a Connected Component : 3097
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.145174
Graph Density : 0.00130880186384349
Modularity : 0.38139
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,081 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, 23 May 2021 at 03:06 UTC.
The requested start date was Sunday, 23 May 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 6-day, 6-hour, 19-minute period from Sunday, 09 May 2021 at 01:03 UTC to Saturday, 15 May 2021 at 07:22 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:
[176] #corpgov,togovern [99] #esg,#corpgov [70] #corpgov,#ceo [66] #ceo,#cfo [62] learn,more [51] #board,#boardofdirectors [48] #impacthc,deloittehc [45] #corpgov,#esg [43] ingentisgmbh,overview [43] overview,#deib Top Word Pairs in Tweet in G1:
[10] braincures,do_kinder [10] evidencebase_im,techscommit [9] do_kinder,braincures [7] braincures,jeremyfarrar [7] jeremyfarrar,michelle_cruk [7] michelle_cruk,ukri_ceo [7] ukri_ceo,universitiesuk [7] universitiesuk,union_newsuk [7] union_newsuk,evidencebase_im [7] techscommit,1752group Top Word Pairs in Tweet in G2:
[66] #corpgov,#ceo [64] #ceo,#cfo [49] #board,#boardofdirectors [39] #boardofdirectors,#directorship [34] #directorship,#governance [33] #esg,#grc [23] #esg,#corpgov [23] #chro,#hcm [19] #cfo,#chro [19] #cfo,#esg Top Word Pairs in Tweet in G3:
[35] #esgys,#esg [21] #esg,#corpgov [10] #esgys,#corpgov [8] #corpgov,#csr [7] #sustainability,report [5] #esg,#sustainablefinance [5] #csr,#corpgov [4] #corpgov,#esgreporting [4] #sustainablefinance,#sri [4] #corpgov,#sustainability Top Word Pairs in Tweet in G4:
[27] #esg,#corpgov [22] #proxyseason,#esg [14] #corpgov,#execpay [9] reject,ceo [9] ceo,brad [9] #regulation,#compliance [9] #governance,#corpgov [8] #corpgov,teamsters [8] xpo,shareholders [8] shareholders,reject Top Word Pairs in Tweet in G5:
[175] #corpgov,togovern [39] learn,more [36] #impacthc,deloittehc [32] ingentisgmbh,overview [32] overview,#deib [32] #deib,orgcharts [32] orgcharts,#impacthc [32] deloittehc,learn [29] martinhoyes,ingentisgmbh [29] #hr,#hranalytics Top Word Pairs in Tweet in G6:
[18] harvardcorpgov,posted [9] #corpgov,#esg [7] #sustainable,#valuecreation [7] #valuecreation,emerging [7] emerging,norm [7] norm,#companylaw [7] #companylaw,#corpgov [7] #corpgov,proposed [7] proposed,reform [7] reform,#norwegian Top Word Pairs in Tweet in G7:
[9] corporate,governance [8] #nonexecs,#corpgov [6] #corpgov,#esg [6] muzaffar69,corpgov' [6] corpgov',news [5] director,#nonexecs [4] #ceo,#ceos [4] #ceos,#cxo [4] #cxo,#cto [4] #cto,#cmo Top Word Pairs in Tweet in G8:
[16] standard,ethics [14] #corpgov,#sri [14] #sri,#sustainablefinance [13] #esg,#corpgov [13] #sustainablefinance,#investmentgrade [12] #investmentgrade,#complyingwiththefuture [7] ethics,confirmed [7] confirmed,#sustainability [7] #sustainability,#rating [6] #sustainability,#ratings Top Word Pairs in Tweet in G9:
[5] #panama,#corpgov [5] pronto,tendremos [5] tendremos,recuento [5] recuento,abogado [5] abogado,vivió [5] vivió,primera [5] primera,mano [5] mano,interesantísimo [4] record,number [4] number,shareholders Top Word Pairs in Tweet in G10:
[14] #corpgov,#grc [7] corporate,governance [6] governance,awards [5] general,counsel [5] #grc,#generalcounsel [5] awards,2021 [5] nominations,open [4] united,around [4] around,purpose [4] purpose,making Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
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: