The graph represents a network of 933 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, 18 September 2022 at 03:28 UTC.
The requested start date was Sunday, 18 September 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 12-day, 6-hour, 50-minute period from Sunday, 04 September 2022 at 00:33 UTC to Friday, 16 September 2022 at 07:24 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 : 933
Unique Edges : 888
Edges With Duplicates : 3452
Total Edges : 4340
Number of Edge Types : 5
Mentions : 1217
Retweet : 951
MentionsInRetweet : 1227
Tweet : 906
Replies to : 39
Self-Loops : 1085
Reciprocated Vertex Pair Ratio : 0.0471622701838529
Reciprocated Edge Ratio : 0.0900763358778626
Connected Components : 144
Single-Vertex Connected Components : 93
Maximum Vertices in a Connected Component : 663
Maximum Edges in a Connected Component : 3936
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 4.14326
Graph Density : 0.00150651596906927
Modularity : 0.268522
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 933 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, 18 September 2022 at 03:28 UTC.
The requested start date was Sunday, 18 September 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 12-day, 6-hour, 50-minute period from Sunday, 04 September 2022 at 00:33 UTC to Friday, 16 September 2022 at 07:24 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:
[490] #corpgov,#esg [327] #legaltech,#finserv [301] #hranalytics,#legaltech [243] #corpgov,#hranalytics [227] #csr,#wef [181] learn,more [178] #finserv,#csr [157] #esg,#corpgov [148] #csuite,#corpgov [147] #finserv,#cx Top Word Pairs in Tweet in G1:
[60] salem,media [60] media,group [50] 2000,mules [47] parent,company [27] nancylevine,salem [27] hi,verdadcap [27] verdadcap,dan [27] dan,rasmussen [27] rasmussen,founder [27] founder,verdad Top Word Pairs in Tweet in G2:
[29] learn,more [27] 87,tech [27] tech,company [27] recent,survey [27] survey,claimed [27] claimed,building [27] building,strong [27] strong,cybersecurity [27] cybersecurity,culture [27] culture,important Top Word Pairs in Tweet in G3:
[25] #corpgov,#esg [17] harvardcorpgov,posted [16] wsj,#corpgov [9] #mergers,#acquisitions [9] #acquisitions,#mna [7] #corpgov,#whistleblower [7] esg,ratings [6] institutional,shareholders [6] #whistleblower,#mergers [5] #corpgov,#ceosuccession Top Word Pairs in Tweet in G4:
[333] #corpgov,#esg [103] #conflictofiinterest,#esg [103] #esg,#corpgov [49] corporate,governance [39] #hr,#salesforce [38] #adp,#sap [37] #sap,#oracle [33] #legaltech,#finserv [30] #esg,#boardofdirectors [28] #wef,#hr Top Word Pairs in Tweet in G5:
[59] patagonia,selling [59] selling,company [59] company,taking [59] taking,public [59] public,mr [59] mr,chouinard [59] chouinard,wife [59] wife,adult [59] adult,children [59] children,transferred Top Word Pairs in Tweet in G6:
[64] #corpgov,#ceo [63] #ceo,#cfo [49] #board,#boardofdirectors [43] #boardofdirectors,#governance [34] #esg,#grc [25] #cfo,#chro [18] #grc,#board [16] #governance,#compensationcommittee [15] #compensationcommittee,#auditcommittee [14] #auditcommittee,#nomgov Top Word Pairs in Tweet in G7:
[294] #legaltech,#finserv [274] #hranalytics,#legaltech [217] #corpgov,#hranalytics [207] #csr,#wef [160] #finserv,#csr [136] learn,more [131] #csuite,#corpgov [130] #finserv,#cx [126] #cx,#csr [125] #csr,#cx Top Word Pairs in Tweet in G8:
[2] googleexpertuk,drumeshprabhu [2] drumeshprabhu,braincures [2] braincures,bulliescampaign [2] bulliescampaign,thepeopleshubuk [2] thepeopleshubuk,delusionalacad1 [2] delusionalacad1,tracyboylin [2] tracyboylin,petejacksongmp Top Word Pairs in Tweet in G9:
[9] #esg,#csr [6] companies,talk [6] talk,#sustainability [6] #sustainability,#esg [6] #esg,initiatives [6] initiatives,external [6] external,world [5] #sri,#corpgov [5] #csr,#sri [5] #sri,#csr Top Word Pairs in Tweet in G10:
[27] audit,committee [27] committee,guide [26] #corpgov,#audit [24] deloitteus,audit [22] more,#corpgov [16] #auditcommittee,mandates [16] mandates,continue [16] continue,evolve [16] evolve,committees [16] committees,help Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G7:
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 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: