The graph represents a network of 1,670 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 April 2020 at 05:31 UTC.
The requested start date was Sunday, 26 April 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, 21-minute period from Sunday, 12 April 2020 at 00:59 UTC to Saturday, 25 April 2020 at 07:21 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 : 1670
Unique Edges : 1678
Edges With Duplicates : 6325
Total Edges : 8003
Number of Edge Types : 5
Mentions : 3264
Replies to : 82
Tweet : 1368
Retweet : 1260
MentionsInRetweet : 2029
Self-Loops : 1429
Reciprocated Vertex Pair Ratio : 0.0434944237918216
Reciprocated Edge Ratio : 0.0833630210188814
Connected Components : 135
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 1376
Maximum Edges in a Connected Component : 7478
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.310343
Graph Density : 0.00100709306372276
Modularity : 0.302511
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 1,670 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 April 2020 at 05:31 UTC.
The requested start date was Sunday, 26 April 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, 21-minute period from Sunday, 12 April 2020 at 00:59 UTC to Saturday, 25 April 2020 at 07:21 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:
[1044] gt,gt [249] covid,19 [207] mikequindazzi,gt [161] risks,business [135] gt,#pwc [132] #pwc,mikequindazzi [127] seema,sapra [126] survivor,seema [125] corporate,governance [125] ge,#ge Top Word Pairs in Tweet in G1:
[308] gt,gt [127] seema,sapra [126] survivor,seema [125] ge,#ge [124] #corpgov,whistleblower [124] whistleblower,#metoo [124] #metoo,survivor [117] realdonaldtrump,fbi [117] fbi,potus [117] potus,pmoindia Top Word Pairs in Tweet in G2:
[94] covid,19 [84] harvardcorpgov,posted [46] #corpgov,#covid19 [37] #corpgov,#esg [25] corporate,governance [19] board,diversity [15] shareholder,proposal [15] #wachtell,#corpgov [15] 19,pandemic [15] during,covid Top Word Pairs in Tweet in G3:
[723] gt,gt [150] mikequindazzi,gt [125] risks,business [101] gt,#pwc [94] #pwc,mikequindazzi [79] top,#ai [79] #ai,risks [79] leaders,gt [67] gt,wef [64] wef,mikequindazzi Top Word Pairs in Tweet in G4:
[98] #corpgov,#ceo [97] #ceo,#cfo [80] #board,#boardofdirectors [79] #boardofdirectors,#directorship [72] #directorship,#governance [62] #esg,#grc [37] #compensationcommittee,#auditcommittee [37] #auditcommittee,#nomgov [35] #governance,#compensationcommittee [32] #grc,#erm Top Word Pairs in Tweet in G5:
[34] #covid19,#corpgov [23] #globalwebinar,#covid19 [22] #corpgov,ecgiorg [21] watch,live [21] live,11 [21] 11,05 [21] 05,cet [21] cet,executive [21] executive,board [21] board,member Top Word Pairs in Tweet in G6:
[32] standard,ethics [30] #esg,#corpgov [30] #corpgov,#sri [30] #sri,#sustainablefinance [27] #sustainablefinance,#investmentgrade [24] #investmentgrade,#complyingwiththefuture [10] #sustainability,#rating [10] press,release [10] release,standard [9] #sustainability,#ratings Top Word Pairs in Tweet in G7:
[6] covid,19 [5] corporate,governance [4] #esg,#corpgov [4] putting,#billionaire [4] #billionaire,charge [4] charge,sinister [4] sinister,task [4] task,force [4] force,climate [4] climate,related Top Word Pairs in Tweet in G8:
[11] audit,committee [10] hello,monday [10] monday,audit [10] committee,board [10] board,meeting [10] meeting,humor [10] humor,#corpgov [9] fayfeeney,hello [6] long,term [6] dr,hans Top Word Pairs in Tweet in G9:
[20] board,directors [19] directors,#corpgov [13] #execpay,#corpgov [12] #corpgov,#execpay [10] inc,board [9] #compensation,#corpgov [8] pay,actions [7] #execpay,#compensation [7] wcdirect,webcast [6] clapping,workers Top Word Pairs in Tweet in G10:
[11] #corpgov,#esg [10] thought,french [10] french,capitalisme [10] capitalisme,copains [10] copains,part [10] part,past [10] past,disgrace [10] disgrace,great [10] great,opportunity [10] opportunity,fr 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 G5:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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 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: