The graph represents a network of 1,840 Twitter users whose recent tweets contained "corpgov", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 04:26 UTC.
The tweets in the network were tweeted over the 1978-day, 21-hour, 59-minute period from Tuesday, 03 October 2017 at 02:03 UTC to Sunday, 05 March 2023 at 00:03 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1840
Unique Edges : 2052
Edges With Duplicates : 7285
Total Edges : 9337
Number of Edge Types : 9
Retweet : 1267
MentionsInRetweet : 1978
Mentions : 3396
MentionsInQuoteReply : 44
Tweet : 1607
MentionsInReplyTo : 397
Replies to : 248
Quote : 243
MentionsInQuote : 157
Self-Loops : 2307
Reciprocated Vertex Pair Ratio : 0.0445357999314834
Reciprocated Edge Ratio : 0.0852738602820597
Connected Components : 176
Single-Vertex Connected Components : 102
Maximum Vertices in a Connected Component : 1508
Maximum Edges in a Connected Component : 8753
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.816267
Graph Density : 0.000901068633709247
Modularity : 0.267923
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,840 Twitter users whose recent tweets contained "corpgov", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 04:26 UTC.
The tweets in the network were tweeted over the 1978-day, 21-hour, 59-minute period from Tuesday, 03 October 2017 at 02:03 UTC to Sunday, 05 March 2023 at 00:03 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1559] #corpgov,#esg [369] corporate,governance [218] #corpgov,#ceo [202] #ceo,#cfo [160] #corpgov,#csuite [148] #board,#boardofdirectors [134] #futureofwork,#hr [124] #boardofdirectors,#governance [122] #healthtech,#cx [110] #cx,#web3 Top Word Pairs in Tweet in G1:
[82] advanceesg,#esg [69] #csr,#sri [45] #esg,#impactinvesting [43] corporate,governance [41] governance,daily [41] #inclusion,#corpgov [41] #dei,#inclusion [41] #impactinvesting,#climatechange [41] #climatechange,#dei [39] #sustainability,#csr Top Word Pairs in Tweet in G2:
[1323] #corpgov,#esg [201] corporate,governance [80] times,#corpgov [78] #boardsofdirectors,#corpgov [72] finance,#corpgov [71] yahoo,finance [61] #governance,#boardsofdirectors [58] #lawyeroftheyear,#keystonelaw [50] mondaq,#corpgov [48] #corpgov,#directors Top Word Pairs in Tweet in G3:
[50] harvardcorpgov,posted [50] #corpgov,#esg [41] executive,compensation [40] compensation,network [40] latest,executive [35] network,thanks [23] corporate,governance [13] boardadvisory,latest [11] regulatory,change [11] eu,regulatory Top Word Pairs in Tweet in G4:
[184] #corpgov,#ceo [181] #ceo,#cfo [144] #corpgov,#csuite [134] #futureofwork,#hr [133] #board,#boardofdirectors [122] #healthtech,#cx [115] #boardofdirectors,#governance [110] #cx,#web3 [95] #corpgov,#esg [92] #cx,#futureofwork Top Word Pairs in Tweet in G5:
[101] elon,musk [67] tesla,board [54] board,directors [42] tesla,bod [35] nancylevine,garyblack00 [32] doing,elon [32] tsla,#corpgov [31] joe,gebbia [30] elon,musk's [29] bod,doing Top Word Pairs in Tweet in G6:
[22] corporate,governance [18] school,forum [18] forum,corporate [18] law,school [18] harvard,law [8] corpgov,forum [8] beach,corpgov [8] palm,beach [6] announces,sponsorship [6] more,andrew Top Word Pairs in Tweet in G7:
[11] board,directors [9] directors,#corpgov [8] issue,highlight [8] current,issue [8] accepted,paper [7] corporate,governance [6] #corpgov,#diversity [6] public,companies [5] cgirjournal,current [5] silicon,valley Top Word Pairs in Tweet in G8:
[55] último,adn [55] listo,noticias [55] #gobiernocorporativo,link [55] #corpgov,listo [55] mundo,#gobiernocorporativo [55] noticias,mundo [55] adn,#corpgov [31] #riskmanagement,#corpgov [30] link,gracias [25] mastrangeloa,último Top Word Pairs in Tweet in G9:
[70] #corpgov,#grc [40] corporate,governance [28] #corpgov,#esg [28] latest,corporate [27] governance,briefing [27] briefing,thanks [22] general,counsel [19] #generalcounsel,#legaljobs [12] #grc,#esg [9] corporate,secretary Top Word Pairs in Tweet in G10:
[22] #corpgov,#corporategovernance [16] proxy,season [15] 00,pm [14] palm,beach [12] corpgov,forum [12] #publicchatterblog,perkinscoiellp's [11] edt,00 [11] #corpgov,#esg [10] 12,00 [9] beach,corpgov 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 G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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 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: