The graph represents a network of 1,908 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, 10 April 2022 at 03:16 UTC.
The requested start date was Sunday, 10 April 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 11-day, 6-hour, 57-minute period from Sunday, 27 March 2022 at 00:24 UTC to Thursday, 07 April 2022 at 07:21 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 : 1908
Unique Edges : 1977
Edges With Duplicates : 6806
Total Edges : 8783
Number of Edge Types : 5
Replies to : 50
Mentions : 1609
MentionsInRetweet : 3582
Retweet : 2132
Tweet : 1410
Self-Loops : 1564
Reciprocated Vertex Pair Ratio : 0.0236127508854782
Reciprocated Edge Ratio : 0.0461361014994233
Connected Components : 101
Single-Vertex Connected Components : 55
Maximum Vertices in a Connected Component : 1661
Maximum Edges in a Connected Component : 8412
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.674039
Graph Density : 0.000953125360720022
Modularity : 0.329922
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,908 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, 10 April 2022 at 03:16 UTC.
The requested start date was Sunday, 10 April 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 11-day, 6-hour, 57-minute period from Sunday, 27 March 2022 at 00:24 UTC to Thursday, 07 April 2022 at 07:21 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:
[1085] #corpgov,#esg [337] cbs,news [314] owned,paramount [305] shari,redstone [263] nancylevine,cbs [256] president,ceo [239] #nonprofits,#nonprofit [234] redstone,non [222] #socialgood,#shrm [221] #corpgov,#socialgood Top Word Pairs in Tweet in G1:
[334] cbs,news [312] owned,paramount [303] shari,redstone [263] nancylevine,cbs [248] president,ceo [234] redstone,non [217] george,cheeks [217] cheeks,president [217] ceo,cbs [217] cbs,owned Top Word Pairs in Tweet in G2:
[1019] #corpgov,#esg [239] #nonprofits,#nonprofit [222] #socialgood,#shrm [221] #corpgov,#socialgood [221] #shrm,#nonprofits [212] #csr,#corpgov [140] fwdhumanity,#csr [137] #esg,#law [137] #law,#corpgov [136] #corpgov,#legal Top Word Pairs in Tweet in G3:
[28] harvardcorpgov,posted [25] #corpgov,#grc [18] proxy,season [17] #corpgov,#esg [13] #esg,#corpgov [12] 2022,proxy [11] #corpgov,#corporategovernance [10] sec,proposes [10] #corpgov,#ceo [10] board,diversity Top Word Pairs in Tweet in G4:
[3] braincures,do_kinder [3] do_kinder,andrewp94729485 [3] andrewp94729485,tracyaustin_ [3] tracyaustin_,jengwenbrown [3] jengwenbrown,compassnincare [3] compassnincare,farahkhalique [3] farahkhalique,acsavage [3] acsavage,jarmann [3] jarmann,s9tmt [2] s9tmt,jreynoldsâ Top Word Pairs in Tweet in G5:
[8] #corpgov,#esg [8] tfw,reading [8] reading,500 [8] 500,book [8] book,financial [8] financial,meltdown [8] meltdown,find [8] find,yourself [8] yourself,calling [8] calling,one Top Word Pairs in Tweet in G6:
[5] sec,proposes [4] #esg,#corpgov [4] #corpgov,#governance [3] proposes,unprecedented [3] unprecedented,cybersecurity [3] cybersecurity,rules [3] rules,reporting [3] reporting,requirements [2] board,members [2] environmental,social Top Word Pairs in Tweet in G7:
[44] governance,around [44] around,world [44] world,#france [44] #france,practices [44] practices,session [44] session,april [44] april,5th [44] 5th,14 [44] 14,00 [44] 00,paris Top Word Pairs in Tweet in G8:
[12] australia,abcaustralia [9] board,directors [8] royal,commission [7] disability,royal [7] commission,turns [7] turns,spotlight [7] spotlight,women's [7] women's,stories [7] stories,abuse [7] abuse,violence Top Word Pairs in Tweet in G9:
[17] ecgi,blog [12] ecgiorg,ecgi [12] blog,today [12] today,ºðÿ [12] ºðÿ,ukraine [12] ukraine,ºrussia [12] ºrussia,special [12] special,edition [12] edition,œa [12] œa,russian Top Word Pairs in Tweet in G10:
[6] president,ceo [6] fmr,ceo [5] corp,board [5] group,adds [5] holdings,adds [4] climate,financial [4] financial,systemic [4] systemic,risk [4] comp,plans [4] chm,ceo 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 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 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: