The graph represents a network of 1,470 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 21 August 2022 at 03:48 UTC.
The requested start date was Sunday, 21 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 5-hour, 17-minute period from Sunday, 07 August 2022 at 02:02 UTC to Saturday, 20 August 2022 at 07:20 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 1470
Unique Edges : 1214
Edges With Duplicates : 5971
Total Edges : 7185
Number of Edge Types : 5
Mentions : 1767
Retweet : 1915
MentionsInRetweet : 2555
Replies to : 39
Tweet : 909
Self-Loops : 1196
Reciprocated Vertex Pair Ratio : 0.0261780104712042
Reciprocated Edge Ratio : 0.0510204081632653
Connected Components : 77
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 1295
Maximum Edges in a Connected Component : 6918
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.457851
Graph Density : 0.00108917631041525
Modularity : 0.275453
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,470 Twitter users whose tweets in the requested range contained "corpgov", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 21 August 2022 at 03:48 UTC.
The requested start date was Sunday, 21 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 5-hour, 17-minute period from Sunday, 07 August 2022 at 02:02 UTC to Saturday, 20 August 2022 at 07:20 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[770] fox,corp [543] brian,nick [510] reached,fox [510] corp,chief [510] chief,communications [510] communications,officer [510] officer,brian [510] nick,ask [510] ask,brian [449] #corpgov,#esg Top Word Pairs in Tweet in G1:
[767] fox,corp [541] brian,nick [509] reached,fox [509] corp,chief [509] chief,communications [509] communications,officer [509] officer,brian [509] nick,ask [509] ask,brian [417] brian,kilmeade Top Word Pairs in Tweet in G2:
[53] #corpgov,#corporategovernance [41] #corporategovernance,#esg [38] #corpgov,#esg [28] #corpgov,#ceo [26] #adp,#sap [25] #salesforce,#csr [24] #ceo,#cfo [24] #csuite,#legaltech [24] #hranalytics,#corpgov [23] #hr,#salesforce Top Word Pairs in Tweet in G3:
[83] #corpgov,#ceo [82] #ceo,#cfo [65] #board,#boardofdirectors [59] #boardofdirectors,#governance [48] harvardcorpgov,posted [48] #corpgov,#grc [38] #cfo,#chro [34] #grc,#esg [34] #esg,#grc [30] #corpgov,#esg Top Word Pairs in Tweet in G4:
[23] #sri,#csr [20] #csr,#sri [19] #esg,#csr [18] #esg,#corpgov [16] #esg,#sri [15] #csr,#corpgov [13] alicekorngold,competia [13] competia,globalethicist [13] globalethicist,scarlettebrown [13] scarlettebrown,cvoneck Top Word Pairs in Tweet in G5:
[387] #corpgov,#finserv [365] #hranalytics,#corpgov [344] #csuite,#legaltech [336] #wef,#hr [317] #finserv,#wef [290] #legaltech,#csuite [227] #legaltech,#hranalytics [173] #corpgov,#esg [172] #finserv,#csr [171] #wef,#cx Top Word Pairs in Tweet in G6:
[3] jengwenbrown,braincures [3] braincures,phil_baty [3] phil_baty,asollowayuk [3] asollowayuk,keir_starmer [3] keir_starmer,johon_gutierrez [3] johon_gutierrez,nikogryzko [3] nikogryzko,saneeyaq [3] saneeyaq,clare_viney [2] do_kinder,jengwenbrown [2] clare_viney,appgstu Top Word Pairs in Tweet in G7:
[4] corporate,governance [3] market,ceos [3] ceos,evidence [3] evidence,private [3] private,equity [3] united,states [3] harvard,law [3] law,school [3] school,forum [3] forum,corporate Top Word Pairs in Tweet in G8:
[6] #corpgov,#esg [4] #esg,#corpgov [3] democracy's,future [3] future,joinandrewnow [3] joinandrewnow,ellerman's [3] ellerman's,still [3] still,#corpgov [3] jamestaranto,wsj [3] news,flash [3] flash,retirement Top Word Pairs in Tweet in G9:
[5] banks,insurers [4] first,banks [4] insurers,push [4] push,#climate [4] #climate,#mitigation [4] #mitigation,regulation [4] regulation,occurs [4] occurs,many [4] many,rooms [4] rooms,#corpgov Top Word Pairs in Tweet in G10:
[190] #corpgov,#esg [22] yahoo,finance [22] finance,#corpgov [15] corporate,governance [13] times,#corpgov [11] globenewswire,#corpgov [8] #workplaceculture,#workplacesafety [8] business,wire [8] wire,#corpgov [7] hockey,canada Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: