The graph represents a network of 1,350 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, 26 July 2020 at 05:36 UTC.
The requested start date was Sunday, 26 July 2020 at 00:01 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 13-day, 6-hour, 50-minute period from Sunday, 12 July 2020 at 00:22 UTC to Saturday, 25 July 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 : 1350
Unique Edges : 1357
Edges With Duplicates : 4841
Total Edges : 6198
Number of Edge Types : 5
Mentions : 2889
Tweet : 1014
Retweet : 809
MentionsInRetweet : 1420
Replies to : 66
Self-Loops : 1073
Reciprocated Vertex Pair Ratio : 0.0252501191043354
Reciprocated Edge Ratio : 0.0492565055762082
Connected Components : 114
Single-Vertex Connected Components : 58
Maximum Vertices in a Connected Component : 1068
Maximum Edges in a Connected Component : 5581
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.074143
Graph Density : 0.00118167092221948
Modularity : 0.296336
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 1,350 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, 26 July 2020 at 05:36 UTC.
The requested start date was Sunday, 26 July 2020 at 00:01 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 13-day, 6-hour, 50-minute period from Sunday, 12 July 2020 at 00:22 UTC to Saturday, 25 July 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:
[367] gt,gt [117] #governance,#corpgov [110] antgrasso,fisher85m [108] #fcpa,#corpgov [108] #corpgov,whistleblower [108] whistleblower,seema [108] seema,sapra [106] attempt,murder [106] murder,ge [105] realdonaldtrump,fbi Top Word Pairs in Tweet in G1:
[70] #governance,#corpgov [53] #risk,#regulation [49] #regulation,#compliance [36] #culture,#conduct [28] #grc,#risk [26] #aml,#moneylaundering [24] #conduct,#ethics [18] #compliance,#culture [18] #financialcrime,#grc [18] #compliance,#governance Top Word Pairs in Tweet in G2:
[102] #fcpa,#corpgov [102] #corpgov,whistleblower [102] whistleblower,seema [102] seema,sapra [101] attempt,murder [101] murder,ge [99] realdonaldtrump,fbi [99] fbi,potus [99] potus,pmoindia [98] delhipolice,cpdelhi Top Word Pairs in Tweet in G3:
[75] harvardcorpgov,posted [34] covid,19 [32] #corpgov,#esg [29] #corpgov,#sec [25] #esg,#corpgov [19] #corpgov,#proxyvoting [18] top,story [18] see,more [13] sec_news,#corpgov [13] rules,proxy Top Word Pairs in Tweet in G4:
[327] gt,gt [107] antgrasso,fisher85m [85] gt,#pwc [68] mikequindazzi,copy [68] copy,antgrasso [65] fisher85m,ways [58] #pwc,mikequindazzi [58] mt,mikequindazzi [57] ways,#hackers [57] #hackers,#cyberattacks Top Word Pairs in Tweet in G5:
[78] #corpgov,#ceo [77] #ceo,#cfo [67] #board,#boardofdirectors [66] #boardofdirectors,#directorship [65] #directorship,#governance [39] #esg,#grc [30] #cfo,#chro [30] #compensationcommittee,#auditcommittee [30] #auditcommittee,#nomgov [28] #governance,#compensationcommittee Top Word Pairs in Tweet in G6:
[23] #corpgov,#corporategovernance [22] #scgn,#scgnwebinar [22] #scgnwebinar,#corpgov [22] #corporategovernance,#boardofdirectors [22] #boardofdirectors,#boardeffectiveness [20] #boardeffectiveness,#corporategovernancenigeria [20] #corporategovernancenigeria,#pencom [17] #pencom,#nationalinsurancecommission [16] #nationalinsurancecommission,#frcn [15] #frcn,#ncc Top Word Pairs in Tweet in G7:
[55] board,directors [42] directors,#corpgov [11] inc,board [7] #diversity,#corpgov [4] #corpgov,#diversity [4] appointed,recursionpharma [4] recursionpharma,recursion's [4] recursion's,board [3] #leadership,#corpgov [3] corp,board Top Word Pairs in Tweet in G8:
[16] #csuite,#corpgov [15] #corpgov,#directors [14] insead,idn [12] governance,changing [12] changing,world [12] world,blog [12] blog,series [12] series,insead [12] inseadalumni,#board [11] closer,look Top Word Pairs in Tweet in G9:
[19] standard,ethics [18] #esg,#corpgov [18] #sustainablefinance,#investmentgrade [17] #corpgov,#sri [17] #sri,#sustainablefinance [15] #investmentgrade,#complyingwiththefuture [8] press,release [8] release,standard [8] #sustainability,#esg [6] #ratings,#esg Top Word Pairs in Tweet in G10:
[12] #corpgov,#esg [10] #esg,#corpgov [9] helping,companies [9] companies,show [9] show,mean [9] mean,business [9] business,re [9] re,commitment [9] commitment,#diversityandinclusion [9] #diversityandinclusion,matching Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G8:
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: