The graph represents a network of 1,797 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 Monday, 17 February 2020 at 01:18 UTC.
The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 8-hour, 6-minute period from Monday, 03 February 2020 at 03:04 UTC to Saturday, 15 February 2020 at 11:10 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 : 1797
Unique Edges : 2818
Edges With Duplicates : 4679
Total Edges : 7497
Number of Edge Types : 4
MentionsInRetweet : 2508
Mentions : 3179
Replies to : 108
Tweet : 1702
Self-Loops : 1702
Reciprocated Vertex Pair Ratio : 0.0308034296602096
Reciprocated Edge Ratio : 0.059765865680838
Connected Components : 136
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 1518
Maximum Edges in a Connected Component : 7167
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.746841
Graph Density : 0.00100575941342475
Modularity : 0.345514
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 1,797 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 Monday, 17 February 2020 at 01:18 UTC.
The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 12-day, 8-hour, 6-minute period from Monday, 03 February 2020 at 03:04 UTC to Saturday, 15 February 2020 at 11:10 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:
[739] gt,gt [281] #corpgov,togovern [226] ge,#ge [147] corporate,governance [137] #esg,#corpgov [133] seema,sapra [128] #metoo,#corpgov [123] gt,#pwc [120] #governance,#corpgov [119] #fcpa,#corpgov Top Word Pairs in Tweet in G1:
[65] gt,gt [33] cggovernance,harvardcorpgovposted [21] #corpgov,#esg [20] corporate,governance [18] #corpgov,#governance [16] #csuite,#corpgov [15] gt,#pwc [15] proxy,voting [14] #pwc,mikequindazzi [14] #corpgov,#strategy Top Word Pairs in Tweet in G2:
[77] harvardcorpgov,posted [59] #corpgov,togovern [42] corporate,governance [41] gt,gt [32] ge,#ge [31] #governance,#corpgov [25] lodhi,garden [24] #risk,#regulation [23] #regulation,#compliance [22] #esg,#corpgov Top Word Pairs in Tweet in G3:
[436] gt,gt [89] #corpgov,#ceo [88] #ceo,#cfo [84] #board,#boardofdirectors [82] #boardofdirectors,#directorship [80] #directorship,#governance [62] mikequindazzi,gt [60] #pwc,mikequindazzi [59] gt,#pwc [51] #ai,#humans Top Word Pairs in Tweet in G4:
[212] #corpgov,togovern [138] gt,gt [44] corporate,governance [37] #corpgov,#boardofdirectors [25] gt,#pwc [23] #pwc,mikequindazzi [23] mikequindazzi,gt [19] yahoo,finance [19] finance,#corpgov [19] directors,executives Top Word Pairs in Tweet in G5:
[42] #esg,#corpgov [32] #corpgov,#esg [18] today,last [18] last,day [18] day,comment [14] inseadalumni,#board [13] jpmorgan,chase [13] #execpay,#corpgov [12] shareholder,proposals [12] #board,#boardofdirectors Top Word Pairs in Tweet in G6:
[12] gt,gt [7] year,review [6] #esg,#corpgov [5] proxy,voting [4] #ssga,#esg [4] private,equity [4] equity,year [4] review,2020 [4] 2020,outlook [4] leading,boards Top Word Pairs in Tweet in G7:
[84] #governance,#corpgov [69] #regulation,#compliance [67] #risk,#regulation [51] #grc,#risk [44] #moneylaundering,#financialcrime [43] #aml,#moneylaundering [34] #ethics,#governance [32] #financialcrime,#grc [30] #culture,#conduct [27] money,laundering Top Word Pairs in Tweet in G8:
[180] ge,#ge [117] seema,sapra [99] #fcpa,#corpgov [98] #metoo,#corpgov [98] #ge,#fcpa [93] survivor,seema [92] #corpgov,whistleblower [92] whistleblower,#metoo [92] #metoo,survivor [86] lodhi,garden Top Word Pairs in Tweet in G9:
[56] board,directors [48] directors,#corpgov [24] inc,board [23] #csuite,#corpgov [20] #corpgov,#directors [12] diverse,boards [12] private,companies [11] study,prof [11] prof,aida [11] aida,wahid Top Word Pairs in Tweet in G10:
[11] #womengetonboard,#corpgov [9] #connect,#empower [8] #morewomenonboards,#womengetonboard [6] #corpgov,#connect [6] #esg,#corpgov [5] #morewomenonboards,#corpgov [5] developing,business [5] business,leaders [5] leaders,sustainable [5] sustainable,future Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: