The graph represents a network of 1,910 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 03:26 UTC.
The tweets in the network were tweeted over the 2884-day, 1-hour, 44-minute period from Saturday, 25 April 2015 at 20:15 UTC to Saturday, 18 March 2023 at 22:00 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 : 1910
Unique Edges : 2067
Edges With Duplicates : 7664
Total Edges : 9731
Number of Edge Types : 9
Retweet : 1286
MentionsInRetweet : 2090
Tweet : 1644
Mentions : 3399
Quote : 226
Replies to : 316
MentionsInReplyTo : 551
MentionsInQuote : 167
MentionsInQuoteReply : 52
Self-Loops : 2347
Reciprocated Vertex Pair Ratio : 0.0456802383316783
Reciprocated Edge Ratio : 0.087369420702754
Connected Components : 200
Single-Vertex Connected Components : 111
Maximum Vertices in a Connected Component : 1469
Maximum Edges in a Connected Component : 8917
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.797219
Graph Density : 0.000866383814337706
Modularity : 0.270721
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,910 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 03:26 UTC.
The tweets in the network were tweeted over the 2884-day, 1-hour, 44-minute period from Saturday, 25 April 2015 at 20:15 UTC to Saturday, 18 March 2023 at 22:00 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:
[1430] #corpgov,#esg [381] corporate,governance [224] #corpgov,#ceo [209] #ceo,#cfo [131] #board,#boardofdirectors [110] #corpgov,#grc [109] #grc,#esg [109] board,directors [108] #boardofdirectors,#governance [100] #esg,#corpgov Top Word Pairs in Tweet in G1:
[638] #corpgov,#esg [159] corporate,governance [107] #corpgov,#grc [74] #boardsofdirectors,#corpgov [72] #corpgov,#cfo [69] #governance,#boardsofdirectors [55] #esg,#corpgov [54] #corpgov,#directors [50] #grc,#esg [45] companies,#cybersecurity Top Word Pairs in Tweet in G2:
[691] #corpgov,#esg [135] corporate,governance [76] advanceesg,#esg [58] #csr,#sri [52] #corpgov,listo [52] mundo,#gobiernocorporativo [52] último,adn [52] listo,noticias [52] noticias,mundo [52] #gobiernocorporativo,link Top Word Pairs in Tweet in G3:
[58] harvardcorpgov,posted [25] #corpgov,#esg [19] #corpgov,#corporategovernance [17] universal,proxy [17] corporate,governance [16] proxy,season [12] palm,beach [12] #mergers,#acquisitions [12] disclosure,controls [11] #acquisitions,#mna Top Word Pairs in Tweet in G4:
[203] #corpgov,#ceo [198] #ceo,#cfo [122] #board,#boardofdirectors [104] #boardofdirectors,#governance [58] #grc,#esg [57] #esg,#grc [55] #corpgov,#csuite [49] #cfo,#chro [45] #cfo,#csuite [45] #grc,#board Top Word Pairs in Tweet in G5:
[69] elon,musk [63] board,directors [48] tesla,board [31] #tesla,board [31] fiduciary,duty [31] elon,musk's [30] joe,gebbia [29] duty,shareholders [24] breach,fiduciary [24] tsla,#corpgov Top Word Pairs in Tweet in G6:
[29] corporate,governance [22] harvard,law [21] school,forum [21] forum,corporate [21] law,school [6] sign,free [6] free,#corpgov [5] service,read [5] brkic,authored [5] mike,rossen Top Word Pairs in Tweet in G7:
[56] #corpgov,#esg [31] corporate,governance [31] briefing,thanks [31] latest,corporate [31] governance,briefing [29] executive,compensation [29] compensation,network [29] latest,executive [24] network,thanks [5] directorcoach,latest Top Word Pairs in Tweet in G8:
[13] #felizdiadelamujer,#8m2023 [13] #8m2023,#corpgov [10] demandante,14 [10] #panamá,siete [10] presidente,ministro [10] procurador,magistrados [10] magistrados,abogado [10] siete,directores [10] abogado,demandante [10] barsallocarlos,#felizdiadelamujer Top Word Pairs in Tweet in G9:
[5] brand,accepting [5] properly,#corpgov [5] forgot,anything [5] protected,brand [5] protect,brand [5] ideas,#integrity [5] #integrity,people [5] anything,#corpgov [5] accepting,acting [5] acting,properly Top Word Pairs in Tweet in G10:
[38] #nfp,#nonprofit [22] #nonprofit,#corpgov [19] sexual,abuse [18] child,sexual [17] australia,abcaustralia [16] #csa,child [13] #corpgov,#compliance [12] st,john [12] western,australia [12] john,ambulance Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G5:
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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: