The graph represents a network of 1,635 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 04:31 UTC.
The tweets in the network were tweeted over the 2102-day, 18-hour, 45-minute period from Thursday, 04 May 2017 at 06:09 UTC to Sunday, 05 February 2023 at 00:55 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 : 1635
Unique Edges : 1802
Edges With Duplicates : 7406
Total Edges : 9208
Number of Edge Types : 9
Retweet : 1492
MentionsInRetweet : 2083
Tweet : 1505
MentionsInReplyTo : 336
Replies to : 179
Mentions : 3167
Quote : 377
MentionsInQuote : 62
MentionsInQuoteReply : 7
Self-Loops : 2564
Reciprocated Vertex Pair Ratio : 0.0396732788798133
Reciprocated Edge Ratio : 0.0763187429854097
Connected Components : 159
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 1311
Maximum Edges in a Connected Component : 8721
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.701829
Graph Density : 0.00100052777559431
Modularity : 0.232173
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 1,635 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 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 04:31 UTC.
The tweets in the network were tweeted over the 2102-day, 18-hour, 45-minute period from Thursday, 04 May 2017 at 06:09 UTC to Sunday, 05 February 2023 at 00:55 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:
[1062] #corpgov,#esg [344] #csuite,#salesforce [339] #esg,#corpgov [250] corporate,governance [219] #corpgov,#salesforce [219] #startup,#startups [218] #wef23,#davos [205] #conflictofiinterest,#esg [205] #lawyeroftheyear,#keystonelaw [202] #csr,#csuite Top Word Pairs in Tweet in G1:
[674] #corpgov,#esg [344] #csuite,#salesforce [219] #startup,#startups [219] #corpgov,#salesforce [218] #wef23,#davos [202] #csr,#csuite [194] #esg,#corpgov [186] #crm,#sales [184] #finserv,#csr [181] #futureofwork,#shrm Top Word Pairs in Tweet in G2:
[294] #corpgov,#esg [96] #esg,#corpgov [72] #conflictofiinterest,#esg [67] #boardsofdirectors,#corpgov [50] corporate,governance [48] #governance,#boardsofdirectors [39] #corpgov,#directors [33] join,bdo_usa [22] #leadership,#corpgov [22] muzaffar1969,#corpgov Top Word Pairs in Tweet in G3:
[57] harvardcorpgov,posted [37] #corpgov,#corporategovernance [20] #corpgov,#esg [20] #corporategovernance,#esg [14] wsj,#corpgov [13] harvardcorpgov,laws [13] sec,civil [13] penalties,harvardcorpgov [13] calculating,sec [13] money,penalties Top Word Pairs in Tweet in G4:
[81] elon,musk [46] nancylevine,elon [43] fiduciary,duty [38] tesla,official [38] official,car [38] nick,fuentes [37] fuentes,tesla [37] reinstated,twitter [37] twitter,account [36] musk,reinstated Top Word Pairs in Tweet in G5:
[21] corporate,governance [11] school,forum [11] forum,corporate [11] law,school [11] harvard,law [4] blog,#corpgov [4] top,15 [4] made,#cybersecurity [4] insight,takeaways [4] more,andrew Top Word Pairs in Tweet in G6:
[3] do_kinder,thepeopleshubuk [3] delusionalacad1,tracyboylin [3] googleexpertuk,drumeshprabhu [3] tracyboylin,petejacksongmp [3] thepeopleshubuk,delusionalacad1 [3] shades_dirty,googleexpertuk [3] drumeshprabhu,do_kinder [2] suzanne_garrett,taranaburke [2] petejacksongmp,suz [2] twovizthink,thinktastic Top Word Pairs in Tweet in G7:
[39] 000,000 [38] settlement,equifax [38] 425,000 [38] seventy,six [38] one,dollar [38] breach,one [38] equifax,data [38] part,425 [38] cents,76 [38] data,breach Top Word Pairs in Tweet in G8:
[49] #corpgov,#esg [25] executive,compensation [25] compensation,network [25] latest,executive [24] corporate,governance [24] briefing,thanks [24] latest,corporate [24] governance,briefing [23] network,thanks [4] thanks,jpmasters Top Word Pairs in Tweet in G9:
[10] #esg,#corpgov [5] proxy,voting [4] enero,2023 [4] #corpgov,#esg [4] gov,forum [4] corp,gov [4] hls,corp [3] 18,enero [3] l'importanza,#purpose [3] francesco,guidara Top Word Pairs in Tweet in G10:
[23] #accounting,#audit [10] #esg,#corpgov [6] #cfo,#corpgov [5] #audit,#cfo [4] #audit,#governance [4] #diversity,#dei [4] flexibility,turbulent [4] more,flexibility [4] #dei,#inclusion [4] #dei,#diversity 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 G6:
Top Replied-To in G7:
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 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: