The graph represents a network of 1,657 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 04:32 UTC.
The tweets in the network were tweeted over the 2109-day, 17-hour, 36-minute period from Thursday, 04 May 2017 at 06:09 UTC to Saturday, 11 February 2023 at 23:45 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 : 1657
Unique Edges : 1817
Edges With Duplicates : 7347
Total Edges : 9164
Number of Edge Types : 9
Retweet : 1473
MentionsInRetweet : 2093
Replies to : 181
MentionsInReplyTo : 295
Tweet : 1506
Mentions : 3146
Quote : 358
MentionsInQuote : 105
MentionsInQuoteReply : 7
Self-Loops : 2510
Reciprocated Vertex Pair Ratio : 0.0420168067226891
Reciprocated Edge Ratio : 0.0806451612903226
Connected Components : 174
Single-Vertex Connected Components : 98
Maximum Vertices in a Connected Component : 1317
Maximum Edges in a Connected Component : 8636
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.708328
Graph Density : 0.000994171994670538
Modularity : 0.242062
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,657 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 2/11/2023 5:00:56 PM. The network was obtained from Twitter on Sunday, 12 February 2023 at 04:32 UTC.
The tweets in the network were tweeted over the 2109-day, 17-hour, 36-minute period from Thursday, 04 May 2017 at 06:09 UTC to Saturday, 11 February 2023 at 23:45 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:
[1295] #corpgov,#esg [390] #csuite,#salesforce [260] corporate,governance [218] #wef23,#davos [212] #esg,#corpgov [210] #corpgov,#ceo [205] #corpgov,#salesforce [190] #csr,#csuite [179] #csr,#hrtech [178] #lawyeroftheyear,#keystonelaw Top Word Pairs in Tweet in G1:
[390] #csuite,#salesforce [218] #wef23,#davos [205] #corpgov,#salesforce [188] #csr,#csuite [182] #corpgov,#ceo [179] #csr,#hrtech [170] #finserv,#csr [162] #hrtech,#corpgov [161] #salesforce,#finserv [149] #startup,#startups Top Word Pairs in Tweet in G2:
[1077] #corpgov,#esg [176] #lawyeroftheyear,#keystonelaw [115] corporate,governance [109] #esg,#corpgov [81] #conflictofiinterest,#esg [56] #sra,#honesty [53] lives,#lawyeroftheyear [53] opprobrious,unethical [50] finance,#corpgov [50] #honesty,#integrity Top Word Pairs in Tweet in G3:
[65] harvardcorpgov,posted [32] #corpgov,#corporategovernance [20] #corpgov,#esg [17] #corporategovernance,#esg [15] corporate,governance [13] money,penalties [13] sec,civil [13] civil,money [13] need,updated [13] calculating,sec Top Word Pairs in Tweet in G4:
[89] elon,musk [46] nancylevine,elon [45] fiduciary,duty [43] tesla,board [38] official,car [38] nick,fuentes [38] tesla,official [37] fuentes,tesla [37] twitter,account [37] reinstated,twitter Top Word Pairs in Tweet in G5:
[40] #csr,#sri [30] #impactinvesting,#climatechange [30] #esg,#impactinvesting [28] #corpgov,#sustainability [28] advanceesg,#esg [28] #dei,#inclusion [28] #inclusion,#corpgov [28] #climatechange,#dei [27] #sustainability,#csr [20] #sri,#investment Top Word Pairs in Tweet in G6:
[19] corporate,governance [10] more,andrew [10] latest,blog [10] andrew,hobbs' [9] school,forum [9] forum,corporate [9] hobbs',latest [9] law,school [9] harvard,law [8] corpgov,forum Top Word Pairs in Tweet in G7:
[55] #corpgov,#esg [47] corporate,governance [25] latest,corporate [25] executive,compensation [25] compensation,network [25] briefing,thanks [25] governance,briefing [25] latest,executive [22] network,thanks [22] governance,daily Top Word Pairs in Tweet in G8:
[50] adn,#corpgov [50] #corpgov,listo [50] noticias,mundo [50] listo,noticias [50] último,adn [50] mundo,#gobiernocorporativo [50] #gobiernocorporativo,link [27] link,gracias [23] mastrangeloa,último [20] #riskmanagement,#corpgov Top Word Pairs in Tweet in G9:
[52] #boardsofdirectors,#corpgov [37] #governance,#boardsofdirectors [29] #corpgov,#directors [10] board,moves [9] #corpgov,#ned [9] non,executive [7] executive,director [7] #corpgov,#esg [7] #ned,#nonexec [5] climate,litigation Top Word Pairs in Tweet in G10:
[5] tracyboylin,petejacksongmp [5] thepeopleshubuk,delusionalacad1 [5] drumeshprabhu,do_kinder [5] googleexpertuk,drumeshprabhu [5] do_kinder,thepeopleshubuk [5] delusionalacad1,tracyboylin [5] shades_dirty,googleexpertuk [4] petejacksongmp,suz [4] braincures,shades_dirty 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: