The graph represents a network of 1,149 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, 03 July 2022 at 03:28 UTC.
The requested start date was Sunday, 03 July 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, 6-hour, 59-minute period from Sunday, 19 June 2022 at 00:21 UTC to Saturday, 02 July 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 : 1149
Unique Edges : 1100
Edges With Duplicates : 3614
Total Edges : 4714
Number of Edge Types : 5
Retweet : 836
MentionsInRetweet : 1336
Tweet : 836
Mentions : 1650
Replies to : 56
Self-Loops : 922
Reciprocated Vertex Pair Ratio : 0.0409221902017291
Reciprocated Edge Ratio : 0.0786267995570321
Connected Components : 95
Single-Vertex Connected Components : 52
Maximum Vertices in a Connected Component : 940
Maximum Edges in a Connected Component : 4370
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.957749
Graph Density : 0.00136916512768261
Modularity : 0.326065
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,149 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, 03 July 2022 at 03:28 UTC.
The requested start date was Sunday, 03 July 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, 6-hour, 59-minute period from Sunday, 19 June 2022 at 00:21 UTC to Saturday, 02 July 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:
[463] #corpgov,#esg [136] #esg,#corpgov [103] #hrtech,#salesforce [99] #corpgov,#hrtech [84] #corpgov,#ceo [84] #ceo,#cfo [81] #csr,#cx [70] #csr,#corpgov [68] corporate,governance [67] #corpgov,#grc Top Word Pairs in Tweet in G1:
[38] eric,greitens [36] messaged,oracle [36] oracle,vp [36] vp,global [36] global,head [36] head,diversity [36] diversity,inclusion [36] inclusion,traci [36] traci,wade [36] wade,asking Top Word Pairs in Tweet in G2:
[264] #corpgov,#esg [74] #esg,#corpgov [65] #corpgov,#grc [33] #grc,#esg [32] corporate,governance [29] #accounting,#audit [24] #corpgov,#ceo [24] #ceo,#cfo [24] general,counsel [23] #conflictofiinterest,#esg Top Word Pairs in Tweet in G3:
[43] #csr,#sri [38] #esg,#csr [27] #esg,#corpgov [25] #sri,#csr [17] #corpgov,#csr [12] #csr,#corpgov [12] #sri,#sdg [9] eia_news,foeint [9] utility,established [9] established,itself Top Word Pairs in Tweet in G4:
[51] harvardcorpgov,posted [22] #corpgov,#sec [22] #corpgov,#esg [15] climate,related [10] pays,companies [10] companies,leave [10] leave,russia [10] #esg,#diversity [9] #sec,#esg [8] related,disclosures Top Word Pairs in Tweet in G5:
[165] #corpgov,#esg [20] #conflictofiinterest,#esg [20] #esg,#corpgov [17] western,australia [16] #esg,#boardofdirectors [13] #workplaceculture,#sexualharassment [13] #esg,#workplaceculture [13] corporate,governance [12] #health,#hospital [11] sexual,assaults Top Word Pairs in Tweet in G6:
[60] #corpgov,#ceo [60] #ceo,#cfo [43] #board,#boardofdirectors [38] #boardofdirectors,#governance [25] #esg,#grc [21] #cfo,#chro [19] #cfo,#cio [18] #chro,#hcm [17] #governance,#auditcommittee [15] #governance,#compensationcommittee Top Word Pairs in Tweet in G7:
[6] #governance,#corpgov [5] climate,related [4] global,study [4] study,2022 [4] sec,authority [4] #regulation,#compliance [4] #compliance,#governance [4] #corpgov,#corporategovernance [4] read,more [3] corporate,governance Top Word Pairs in Tweet in G8:
[2] shesrideordie,googleexpertuk [2] googleexpertuk,shades_dirty [2] shades_dirty,drumeshprabhu [2] drumeshprabhu,braincures [2] braincures,proftimnoakes [2] proftimnoakes,gentlewomanboss [2] gentlewomanboss,judithcarmody1 Top Word Pairs in Tweet in G9:
[11] board,directors [11] #societycorpgov75th,#corpgov [6] #diversity,#corpgov [6] national,conference [6] #corpgov,#governance [5] learn,more [4] directors,#corpgov [4] gender,diversity [4] #corpgov,#diversity [4] equilar,diversity Top Word Pairs in Tweet in G10:
[31] pointed,307 [31] 307,2002 [31] 2002,sarbanes [31] sarbanes,oxley [31] oxley,act [31] act,mandatory [31] mandatory,ladder [31] ladder,reporting [31] reporting,corporate [31] corporate,crime 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 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: