The graph represents a network of 1,501 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, 06 June 2021 at 03:08 UTC.
The requested start date was Sunday, 06 June 2021 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, 48-minute period from Sunday, 23 May 2021 at 00:48 UTC to Thursday, 03 June 2021 at 07:37 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 : 1501
Unique Edges : 1439
Edges With Duplicates : 3860
Total Edges : 5299
Number of Edge Types : 5
Retweet : 751
MentionsInRetweet : 1474
Tweet : 1034
Mentions : 1985
Replies to : 55
Self-Loops : 1127
Reciprocated Vertex Pair Ratio : 0.039796390559926
Reciprocated Edge Ratio : 0.0765465064530485
Connected Components : 103
Single-Vertex Connected Components : 53
Maximum Vertices in a Connected Component : 1262
Maximum Edges in a Connected Component : 4894
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.888586
Graph Density : 0.000998001332445037
Modularity : 0.351045
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,501 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, 06 June 2021 at 03:08 UTC.
The requested start date was Sunday, 06 June 2021 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, 48-minute period from Sunday, 23 May 2021 at 00:48 UTC to Thursday, 03 June 2021 at 07:37 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:
[317] #corpgov,togovern [157] #esg,#corpgov [127] board,directors [123] #corpgov,#ceo [115] #ceo,#cfo [90] #corpgov,#esg [86] #board,#boardofdirectors [74] #esg,#grc [73] corporate,governance [66] #boardofdirectors,#directorship Top Word Pairs in Tweet in G1:
[16] drumeshprabhu,braincures [14] braincures,do_kinder [13] wb_uk,whistleuk [12] do_kinder,braincures [12] shesrideordie,googleexpertuk [12] googleexpertuk,shades_dirty [12] shades_dirty,drumeshprabhu [10] govacctproj,awhistleblowing [10] googleexpertuk,drumeshprabhu [10] do_kinder,shesrideordie Top Word Pairs in Tweet in G2:
[121] #corpgov,#ceo [115] #ceo,#cfo [84] #board,#boardofdirectors [74] #esg,#grc [66] #boardofdirectors,#directorship [57] #directorship,#governance [42] #cfo,#chro [42] #chro,#hcm [35] #governance,#compensationcommittee [34] #esg,#corpgov Top Word Pairs in Tweet in G3:
[57] #esg,#corpgov [29] #corpgov,#esg [23] #proxyseason,#esg [16] #corpgov,#leadership [15] exxon,mobil [15] #leadership,#boardofdirectors [13] directors,three [13] three,lessons [12] memo,corporate [12] corporate,directors Top Word Pairs in Tweet in G4:
[24] harvardcorpgov,posted [14] #corpgov,#esg [11] corporate,governance [7] #wachtell,#corpgov [6] proxy,advisors [6] advisors,market [6] market,power [6] power,review [6] carbon,caremark [6] caremark,corporate Top Word Pairs in Tweet in G5:
[28] #esgys,#esg [16] #esg,#corpgov [7] #esg,report [7] #esgys,#corpgov [6] #esgdata,#esgreporting [4] 2020,corporate [4] #corpgov,#csr [4] releases,inaugural [4] inaugural,#esg [3] federalrealty,frt Top Word Pairs in Tweet in G6:
[6] #smartgovernance,#agile [6] #corpgov,#chainofcommand [6] #chainofcommand,#enterprise [5] #esg,#corpgov [5] learn,more [5] #agile,#modern [5] #modern,#corpgov [5] #enterprise,#enterprisegovernance [5] #enterprisegovernance,#workfromhome [4] request,demo Top Word Pairs in Tweet in G7:
[36] board,directors [28] directors,#corpgov [19] inc,board [8] #corpgov,#governance [8] #governance,#corpgov [7] public,companies [7] #corpgov,#boardofdirectors [5] guberna,home [5] home,governance [5] governance,talks Top Word Pairs in Tweet in G8:
[17] #esg,#corpgov [6] #corpgov,blk [4] blackrock's,2021 [4] 2021,virtual [4] virtual,annual [4] #corpgov,#climatechange [3] 'intentionally,boring' [3] boring',virtual [3] virtual,shareholder [3] shareholder,meetings Top Word Pairs in Tweet in G9:
[30] #corpgov,#grc [14] general,counsel [10] #grc,#generalcounsel [8] #irforum,#irchat [8] #irchat,#corpgov [7] #dei,#proxyseason [7] #grc,#esg [7] corporate,governance [6] highest,paid [6] paid,ceo Top Word Pairs in Tweet in G10:
[43] list,board [43] board,directors [43] directors,tell [43] tell,damaging [43] damaging,deportation [43] deportation,british [43] british,airways [43] airways,reputation [31] ukblm,list [31] reputation,httpâ 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 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 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: