The graph represents a network of 1,258 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, 02 August 2020 at 01:32 UTC.
The requested start date was Sunday, 02 August 2020 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, 5-minute period from Sunday, 19 July 2020 at 00:06 UTC to Saturday, 01 August 2020 at 07:12 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 : 1258
Unique Edges : 1278
Edges With Duplicates : 3803
Total Edges : 5081
Number of Edge Types : 5
Mentions : 1772
Tweet : 947
Replies to : 53
Retweet : 841
MentionsInRetweet : 1468
Self-Loops : 997
Reciprocated Vertex Pair Ratio : 0.0265188042430087
Reciprocated Edge Ratio : 0.0516674495068107
Connected Components : 98
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 1003
Maximum Edges in a Connected Component : 4623
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.017004
Graph Density : 0.00134635548084937
Modularity : 0.352274
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,258 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, 02 August 2020 at 01:32 UTC.
The requested start date was Sunday, 02 August 2020 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, 5-minute period from Sunday, 19 July 2020 at 00:06 UTC to Saturday, 01 August 2020 at 07:12 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:
[403] gt,gt [130] antgrasso,fisher85m [98] #corpgov,#ceo [98] #ceo,#cfo [93] covid,19 [93] harvardcorpgov,posted [90] fisher85m,ways [88] gt,#pwc [84] #board,#boardofdirectors [82] mikequindazzi,copy Top Word Pairs in Tweet in G1:
[35] gt,gt [25] #ceo,#ceos [25] #ceos,#cxo [25] #cxo,#cto [25] #cto,#cmo [25] #cmo,#cfo [25] #cfo,#radio [25] #radio,#tv [25] #tv,#csuite [25] #csuite,#vc Top Word Pairs in Tweet in G2:
[357] gt,gt [124] antgrasso,fisher85m [86] fisher85m,ways [83] #ceo,#cfo [83] gt,#pwc [79] mikequindazzi,copy [79] copy,antgrasso [78] #corpgov,#ceo [64] #board,#boardofdirectors [63] mt,mikequindazzi Top Word Pairs in Tweet in G3:
[84] harvardcorpgov,posted [44] #corpgov,#sec [32] comment,letter [30] covid,19 [29] #corpgov,#esg [25] #esg,#corpgov [24] corporate,governance [22] sec_news,#corpgov [18] proposed,rule [18] climate,change Top Word Pairs in Tweet in G4:
[46] #regulation,#compliance [44] #governance,#corpgov [38] #risk,#regulation [35] #grc,#risk [32] #aml,#moneylaundering [32] #financialcrime,#grc [28] #culture,#conduct [24] #compliance,#governance [22] #conduct,#ethics [22] #moneylaundering,#financialcrime Top Word Pairs in Tweet in G5:
[27] #nonexecs,#corpgov [19] general,counsel [19] #esg,#corpgov [11] corporate,governance [11] #corpgov,#generalcounsel [10] non,executive [10] #womenonboard,#corpgov [9] #corpgov,#grc [9] #corpgov,#covid19 [9] covid,19 Top Word Pairs in Tweet in G6:
[6] corporate,governance [5] recent,news [5] news,curated [5] curated,internal [5] internal,auditors [5] auditors,board [5] board,members [5] members,#internalaudit [5] #internalaudit,#corpgov [4] #corpgov,#compliance Top Word Pairs in Tweet in G7:
[15] stanford,closer [15] closer,look [11] social,risk [10] look,examines [7] nytimes,article [7] article,freedom [7] freedom,riders [7] riders,john [7] john,lewis [7] lewis,thread Top Word Pairs in Tweet in G8:
[17] top,story [17] see,more [13] muzaffar69,corpgov' [13] corpgov',news [10] cii,sent [10] sent,letter [10] letter,cosigned [10] cosigned,investor [10] investor,groups [10] groups,providing Top Word Pairs in Tweet in G9:
[7] amazon,market [7] market,power [7] power,grown [7] grown,during [7] during,pandemic [7] pandemic,good [7] good,rest [7] rest,#corpgov [6] teamstersdc,amazon [5] thoughts,#execpay Top Word Pairs in Tweet in G10:
[19] board,directors [7] #diversity,#corpgov [6] #corpgov,#diversity [5] directors,#corpgov [5] board,gender [4] ftse,350 [4] neptune's,ceo [4] ceo,mikecammarata [4] mikecammarata,interviewed [4] interviewed,corpgov Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
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: