The graph represents a network of 2,076 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 04:28 UTC.
The tweets in the network were tweeted over the 2069-day, 14-hour, 2-minute period from Tuesday, 16 May 2017 at 10:42 UTC to Sunday, 15 January 2023 at 00:44 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 : 2076
Unique Edges : 1765
Edges With Duplicates : 7659
Total Edges : 9424
Number of Edge Types : 9
Retweet : 1986
MentionsInRetweet : 2856
Tweet : 1264
Replies to : 133
MentionsInReplyTo : 203
Mentions : 2643
MentionsInQuote : 74
Quote : 251
MentionsInQuoteReply : 14
Self-Loops : 2058
Reciprocated Vertex Pair Ratio : 0.0311696658097686
Reciprocated Edge Ratio : 0.0604549703957619
Connected Components : 146
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 1773
Maximum Edges in a Connected Component : 8961
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.414316
Graph Density : 0.000744945098312324
Modularity : 0.287548
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,076 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 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 04:28 UTC.
The tweets in the network were tweeted over the 2069-day, 14-hour, 2-minute period from Tuesday, 16 May 2017 at 10:42 UTC to Sunday, 15 January 2023 at 00:44 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:
[908] #corpgov,#esg [683] elon,musk [537] #esg,#corpgov [442] fiduciary,duty [426] breach,fiduciary [420] #conflictofiinterest,#esg [402] largest,shareholders [401] lawyers,elon [401] musk,bod [401] calling,lawyers Top Word Pairs in Tweet in G1:
[675] elon,musk [436] fiduciary,duty [425] breach,fiduciary [401] musk,bod [401] lawyers,elon [401] tesla's,largest [401] calling,lawyers [401] largest,shareholders [401] shareholders,calling [401] bod,breach Top Word Pairs in Tweet in G2:
[847] #corpgov,#esg [484] #esg,#corpgov [420] #conflictofiinterest,#esg [180] corporate,governance [67] harvardcorpgov,posted [66] #corpgov,#grc [47] conflict,interest [46] muzaffar1969,#corpgov [42] news,#corpgov [41] general,counsel Top Word Pairs in Tweet in G3:
[199] #csuite,#csr [197] #shrm,#csuite [173] #salesforce,#shrm [164] #startup,#startups [151] #csr,#futureofwork [145] #ces2023,#ces [145] #ces,#salesforce [143] #wef,#davos [114] #corpgov,#ceo [112] #davos,#salesforce Top Word Pairs in Tweet in G4:
[17] corporate,governance [15] law,school [15] harvard,law [13] school,forum [12] forum,corporate [8] top,15 [8] progress,made [6] 15,anticipated [6] sec,enforcement [6] disclosures,here's Top Word Pairs in Tweet in G5:
[49] #accounting,#audit [33] #boardsofdirectors,#corpgov [22] #governance,#boardsofdirectors [20] #corpgov,#directors [11] #audit,#cfo [10] #cfo,#corpgov [9] #corpgov,#esg [9] #esg,#corpgov [9] #audit,#corpgov [6] #corpgov,abaesq Top Word Pairs in Tweet in G6:
[4] johon_gutierrez,nikogryzko [4] nikogryzko,saneeyaq [4] jengwenbrown,braincures [4] keir_starmer,johon_gutierrez [4] asollowayuk,keir_starmer [4] phil_baty,asollowayuk [4] saneeyaq,clare_viney [4] braincures,phil_baty [3] clare_viney,appgstu [3] do_kinder,jengwenbrown Top Word Pairs in Tweet in G7:
[24] #corpgov,#esg [23] executive,compensation [23] compensation,network [23] latest,executive [18] network,thanks [5] network,#corpgov [3] thanks,corpgovuk [2] truth,truth [2] cgasparino,#corpgov [2] pushes,record Top Word Pairs in Tweet in G8:
[14] tax,avoidance [13] associate,professor [13] rebecca,lester [13] professor,rebecca [12] lester,many [12] capital,markets [12] markets,associate [12] current,capital [12] avoidance,baked [12] baked,current Top Word Pairs in Tweet in G9:
[250] #lawyeroftheyear,#keystonelaw [145] #keystonelaw,#lawyer [143] thing,dump [143] dump,#lawyeroftheyear [143] decent,thing [139] #lawyer,part [119] #hiv,#aids [105] #nhs,hero [104] #incest,#pedo [99] part,profiting Top Word Pairs in Tweet in G10:
[23] foundation,daily [23] care,foundation [23] trinity,care [23] latest,trinity [20] daily,thanks [14] #corpgov,#esg [6] #fintech,#corpgov [3] #corpgov,#hr [3] thanks,tveitdal [3] thanks,geemanyip 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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: