The graph represents a network of 2,069 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, 16 December 2019 at 01:18 UTC.
The requested start date was Monday, 16 December 2019 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, 9-hour, 34-minute period from Monday, 02 December 2019 at 01:37 UTC to Saturday, 14 December 2019 at 11:12 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 : 2069
Unique Edges : 3005
Edges With Duplicates : 6715
Total Edges : 9720
Number of Edge Types : 3
Tweet : 1643
Mentions : 7900
Replies to : 177
Self-Loops : 1643
Reciprocated Vertex Pair Ratio : 0.0440501682471704
Reciprocated Edge Ratio : 0.084383240550835
Connected Components : 163
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 1709
Maximum Edges in a Connected Component : 9175
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.889091
Graph Density : 0.000797673681583063
Modularity : 0.305941
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,069 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, 16 December 2019 at 01:18 UTC.
The requested start date was Monday, 16 December 2019 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, 9-hour, 34-minute period from Monday, 02 December 2019 at 01:37 UTC to Saturday, 14 December 2019 at 11:12 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:
[618] #corpgov,togovern [409] ge,#ge [310] #metoo,survivor [309] seema,sapra [308] survivor,seema [292] #fcpa,#corpgov [286] #ge,#fcpa [258] #corpgov,whistle [258] whistle,blower [255] blower,#metoo Top Word Pairs in Tweet in G1:
[128] #corpgov,#ceo [125] #ceo,#cfo [78] gt,gt [77] #board,#boardofdirectors [72] #boardofdirectors,#directorship [63] #directorship,#governance [54] #cfo,#cio [54] #pwc,mikequindazzi [51] harvardcorpgov,posted [43] #hackers,#cyberattacks Top Word Pairs in Tweet in G2:
[205] institutional,investors [197] investors,shareholders [137] fox,news [137] news,threat [137] threat,national [137] national,security [129] security,institutional [129] shareholders,divest [76] corporation,institutional [75] vermontgmg,fox Top Word Pairs in Tweet in G3:
[471] #corpgov,togovern [72] #governance,#corpgov [71] #regulation,#compliance [71] corporate,governance [68] #risk,#regulation [64] #grc,#risk [53] #culture,#conduct [43] #ethics,#governance [42] #moneylaundering,#financialcrime [41] #conduct,#ethics Top Word Pairs in Tweet in G4:
[376] ge,#ge [284] #metoo,survivor [283] seema,sapra [282] survivor,seema [263] #ge,#fcpa [263] #fcpa,#corpgov [239] #corpgov,whistle [239] whistle,blower [236] blower,#metoo [229] realdonaldtrump,fbi Top Word Pairs in Tweet in G5:
[33] learn,more [30] equilarinc,track [30] track,composition [30] well,thousands [30] thousands,corporate [30] corporate,boardrooms [30] visit,learn [29] equilarinc,notes [26] #corpgov,source [16] boardrooms,visit Top Word Pairs in Tweet in G6:
[16] board,diversity [16] harvardcorpgov,posted [13] #corpgov,#boarddiversity [9] corporate,governance [8] board,member [8] today's,financial [8] financial,times [8] times,ftmoralmoney [8] ftmoralmoney,features [8] features,results Top Word Pairs in Tweet in G7:
[14] corporate,governance [4] #corpgov,#governance [3] #corpgov,#corporategovernance [3] #csuite,#corpgov [3] friendly,contracts [3] sec,proposed [3] proxy,advisors [3] #management,#csuite [2] #corpgov,#sustainability [2] #boardofdirectors,#corpgov Top Word Pairs in Tweet in G8:
[12] #boards,#leadership [12] general,counsel [11] nasdaq,directorcorps [11] directorcorps,host [11] #corpgov,#sec [10] during,nasdaqcorpgov [10] shared,insights [10] asset,management [8] certificate,program [8] nasdaq,during Top Word Pairs in Tweet in G9:
[28] #health,#healthcare [12] #corpgov,#ceo [12] #healthcare,#corpgov [9] #healthcare,#hospital [7] study,finds [7] #health,#empathy [7] #empathy,#finance [7] harvardbiz,#health [6] female,lawyers [6] lawyers,initiatives Top Word Pairs in Tweet in G10:
[38] #execpay,#corpgov [21] #corpgov,nacd [20] nacd,#webinar [16] #boardroom,#execpay [15] #corpgov,#proxyvoting [11] proxy,advisors [11] shareholder,proposals [9] #esg,risks [8] around,world [8] glass,lewis Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: