The graph represents a network of 1,193 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, 12 December 2021 at 04:14 UTC.
The requested start date was Sunday, 12 December 2021 at 01:01 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, 0-hour, 56-minute period from Sunday, 28 November 2021 at 05:10 UTC to Saturday, 11 December 2021 at 06:06 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 : 1193
Unique Edges : 1196
Edges With Duplicates : 6628
Total Edges : 7824
Number of Edge Types : 5
Tweet : 1037
Retweet : 1778
MentionsInRetweet : 2981
Mentions : 1985
Replies to : 43
Self-Loops : 1139
Reciprocated Vertex Pair Ratio : 0.0360766629086809
Reciprocated Edge Ratio : 0.0696409140369967
Connected Components : 121
Single-Vertex Connected Components : 64
Maximum Vertices in a Connected Component : 943
Maximum Edges in a Connected Component : 7451
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.58055
Graph Density : 0.00129249481033096
Modularity : 0.199587
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,193 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, 12 December 2021 at 04:14 UTC.
The requested start date was Sunday, 12 December 2021 at 01:01 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, 0-hour, 56-minute period from Sunday, 28 November 2021 at 05:10 UTC to Saturday, 11 December 2021 at 06:06 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:
[774] #aml,#crypto [715] #csr,#corpgov [672] #corpgov,togovern [665] #wef,#datagovernance [660] #datagovernance,#futureofwork [660] #insurtech,#fintech [657] #finserv,#wef [654] #corpgov,#aml [650] #crypto,#finserv [635] #futureofwork,#insurtech Top Word Pairs in Tweet in G1:
[6] doj,gets [6] gets,tough [6] tough,corporate [6] corporate,recidivists [6] recidivists,esg [6] esg,investors [6] investors,eye [6] eye,gender [6] gender,equity [5] do_kinder,braincures Top Word Pairs in Tweet in G2:
[385] #corpgov,togovern [54] yahoo,finance [52] finance,#corpgov [38] #accounting,#audit [34] #esg,#corpgov [32] #csr,#corpgov [26] #aml,#crypto [25] #cfo,#corpgov [24] #insurtech,#fintech [24] #saas,#startup Top Word Pairs in Tweet in G3:
[748] #aml,#crypto [682] #csr,#corpgov [642] #wef,#datagovernance [637] #datagovernance,#futureofwork [636] #insurtech,#fintech [635] #finserv,#wef [633] #corpgov,#aml [631] #crypto,#finserv [613] #futureofwork,#insurtech [585] #fintech,#regtech Top Word Pairs in Tweet in G4:
[47] #corpgov,#grc [40] harvardcorpgov,posted [16] #grc,#esg [13] shearmanlaw,#corpgov [12] general,counsel [11] corporate,governance [11] #grc,#generalcounsel [10] shareholder,proposal [9] prof,larry [9] larry,cunningham Top Word Pairs in Tweet in G5:
[18] #corpgov,#gobernanza [13] #gobernanza,#juntadirectiva [8] #juntadirectiva,#esg [7] link,amir [7] amir,dossal [7] dossal,uk [7] uk,#icaew [7] #icaew,#un [7] king,digital [7] digital,e'ment Top Word Pairs in Tweet in G6:
[5] #corporategovernance,#corpgov [5] #corpgov,#chainofcommand [4] #corpgov,#esg [4] #smartgovernance,#corporategovernance [4] #chainofcommand,#enterprise [4] #enterprise,#enterprisegovernance [4] #enterprisegovernance,#workfromhome [3] corporate,governance [3] accredited,course [3] course,boardroom Top Word Pairs in Tweet in G7:
[22] #esg,#corpgov [12] #corpgov,#susty [12] #netzero,#climateaction [10] #climateaction,#climatechange [6] cyber,risk [6] #susty,#netzero [6] #climatechange,#energytwitter [6] policy,updates [6] #corpgov,#corporategovernance [5] competent,boards Top Word Pairs in Tweet in G8:
[29] standard,ethics [25] #esg,#corpgov [25] #corpgov,#sri [23] #sri,#sustainablefinance [23] #sustainablefinance,#investmentgrade [23] #investmentgrade,#complyingwiththefuture [12] #rating,#esg [11] #sustainability,#ratings [9] #ratings,#esg [9] #sustainability,#rating Top Word Pairs in Tweet in G9:
[286] #corpgov,togovern [46] yahoo,finance [45] finance,#corpgov [20] #corpgov,#esg [17] #esg,#boardofdirectors [14] shareholder,alert [13] corporate,governance [13] robbins,llp [12] times,#corpgov [12] business,wire Top Word Pairs in Tweet in G10:
[5] #tonedeafatthetop,#activisionblizzard [4] net,zero [4] year,stakeholder [3] ceo,pay [3] #corpgov,#execpay [3] meaningful,change [3] change,necessary [3] necessary,address [3] address,many [3] many,workplace 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 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 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: