The graph represents a network of 1,773 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 04:29 UTC.
The tweets in the network were tweeted over the 2116-day, 18-hour, 15-minute period from Thursday, 04 May 2017 at 06:09 UTC to Sunday, 19 February 2023 at 00:24 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 : 1773
Unique Edges : 1988
Edges With Duplicates : 7129
Total Edges : 9117
Number of Edge Types : 9
Tweet : 1587
Retweet : 1374
MentionsInRetweet : 1989
Mentions : 3238
MentionsInQuote : 139
Quote : 308
MentionsInReplyTo : 284
Replies to : 189
MentionsInQuoteReply : 9
Self-Loops : 2450
Reciprocated Vertex Pair Ratio : 0.0415762834417932
Reciprocated Edge Ratio : 0.0798333911836168
Connected Components : 184
Single-Vertex Connected Components : 111
Maximum Vertices in a Connected Component : 1439
Maximum Edges in a Connected Component : 8612
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.795721
Graph Density : 0.000917003102723445
Modularity : 0.252371
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,773 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 2/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 February 2023 at 04:29 UTC.
The tweets in the network were tweeted over the 2116-day, 18-hour, 15-minute period from Thursday, 04 May 2017 at 06:09 UTC to Sunday, 19 February 2023 at 00:24 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:
[1415] #corpgov,#esg [290] corporate,governance [221] #corpgov,#ceo [205] #finserv,#csr [205] #corpgov,#salesforce [190] #csr,#csuite [182] #csuite,#salesforce [182] #ceo,#cfo [161] #salesforce,#finserv [161] #hrtech,#corpgov Top Word Pairs in Tweet in G1:
[77] #corpgov,#esg [68] harvardcorpgov,posted [63] corporate,governance [42] governance,daily [35] compensation,network [35] executive,compensation [35] latest,executive [31] network,thanks [30] #corpgov,#corporategovernance [24] daily,stories Top Word Pairs in Tweet in G2:
[912] #corpgov,#esg [205] #finserv,#csr [205] #corpgov,#salesforce [190] #csr,#csuite [182] #csuite,#salesforce [161] #hrtech,#corpgov [161] #salesforce,#finserv [130] #csr,#hrtech [124] #futureofwork,#hr [115] #crm,#sales Top Word Pairs in Tweet in G3:
[375] #corpgov,#esg [90] #lawyeroftheyear,#keystonelaw [35] corporate,governance [33] #esg,#corpgov [32] 80k,#legal [28] #legal,#strategy [25] #honesty,#integrity [24] #sra,#honesty [23] #keystonelaw,#legaladvice [22] times,#corpgov Top Word Pairs in Tweet in G4:
[134] elon,musk [54] tesla,board [46] nancylevine,elon [43] fiduciary,duty [41] tesla,bod [38] tesla,official [38] official,car [38] nick,fuentes [37] fuentes,tesla [37] reinstated,twitter Top Word Pairs in Tweet in G5:
[159] #corpgov,#ceo [157] #ceo,#cfo [114] #board,#boardofdirectors [104] #boardofdirectors,#governance [56] #cfo,#chro [54] #grc,#esg [49] #esg,#grc [43] #governance,#auditcommittee [41] #boardleadership,#boardeffectiveness [38] #cio,#ciso Top Word Pairs in Tweet in G6:
[22] corporate,governance [12] school,forum [12] forum,corporate [12] harvard,law [12] law,school [10] more,andrew [10] andrew,hobbs' [10] latest,blog [9] hobbs',latest [8] palm,beach Top Word Pairs in Tweet in G7:
[53] #boardsofdirectors,#corpgov [38] #governance,#boardsofdirectors [27] #corpgov,#directors [11] board,moves [10] #corpgov,#ned [9] non,executive [7] executive,director [7] #corpgov,#esg [6] #corpgov,#governance [5] building,resilience Top Word Pairs in Tweet in G8:
[6] #corpgov,#health [5] help,understand [5] impact,help [5] #empathy,#bettertogether [5] full,economic [5] #patientcare,#corpgov [5] economic,impact [5] #corpgov,#empathy [5] work,ranaforoohar [5] ranaforoohar,calculating Top Word Pairs in Tweet in G9:
[26] #corpgov,#esg [26] corporate,governance [26] briefing,thanks [26] latest,corporate [26] governance,briefing [3] alawriedejesus,#corpgov [2] thanks,alawriedejesus [2] lise,kingo [2] role,learn [2] boards,impact Top Word Pairs in Tweet in G10:
[3] sr,fellow [3] #corpgov,institutional [3] black,women [3] harvardcorpgov,program [3] institutional,investors [3] fellow,harvardcorpgov [3] soundboard,governance [3] silicon,valley [3] annual,meeting [3] stephenm_davis,sr 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 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: