The graph represents a network of 1,536 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, 26 September 2021 at 03:13 UTC.
The requested start date was Sunday, 26 September 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 13-day, 5-hour, 34-minute period from Sunday, 12 September 2021 at 01:45 UTC to Saturday, 25 September 2021 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 : 1536
Unique Edges : 1564
Edges With Duplicates : 4707
Total Edges : 6271
Number of Edge Types : 5
MentionsInRetweet : 1836
Mentions : 2068
Retweet : 1126
Tweet : 1160
Replies to : 81
Self-Loops : 1251
Reciprocated Vertex Pair Ratio : 0.0421978021978022
Reciprocated Edge Ratio : 0.0809784900885702
Connected Components : 96
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 1332
Maximum Edges in a Connected Component : 5884
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.333074
Graph Density : 0.00100561549945711
Modularity : 0.329527
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,536 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, 26 September 2021 at 03:13 UTC.
The requested start date was Sunday, 26 September 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 13-day, 5-hour, 34-minute period from Sunday, 12 September 2021 at 01:45 UTC to Saturday, 25 September 2021 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:
[637] #corpgov,togovern [170] #deib,#hranalytics [153] #esg,#corpgov [147] #peopleanalytics,#deib [138] #finserv,#insurtech [138] #legaltech,#corpgov [129] #fintech,#finserv [126] #futureofwork,#csr [121] #hrtech,#peopleanalytics [117] #corpgov,#digitaltransformation Top Word Pairs in Tweet in G1:
[8] braincures,do_kinder [8] dohadebates,thepeopleshubuk [8] thepeopleshubuk,suzanne_garrett [8] suzanne_garrett,taranaburke [8] taranaburke,twovizthink [8] twovizthink,thinktastic [8] thinktastic,wendyeslater [8] do_kinder,braincures [6] wendyeslater,drumeshprab [6] do_kinder,andrewp94729485 Top Word Pairs in Tweet in G2:
[637] #corpgov,togovern [105] #corpgov,#ceo [98] #ceo,#cfo [82] #board,#boardofdirectors [80] #boardofdirectors,#governance [70] board,directors [64] #esg,#grc [48] directors,#corpgov [44] yahoo,finance [44] finance,#corpgov Top Word Pairs in Tweet in G3:
[49] #corpgov,#grc [37] harvardcorpgov,posted [27] #nonexecs,#corpgov [17] #grc,#esg [16] general,counsel [16] corporate,governance [15] #corpgov,#esg [13] director,#nonexecs [13] non,executive [11] #icgn21,global Top Word Pairs in Tweet in G4:
[22] gobierno,corporativo [17] #convencionanualigep,2021 [16] 12,30 [15] junta,directiva [15] iii,curso [15] 30,hs [14] #corpgov,#panama [14] #corpgov,#esg [13] integridad,corporativa [13] corporativo,ética Top Word Pairs in Tweet in G5:
[40] eventbrite,something [40] something,charliekirk11 [39] corporate,america [39] america,pick [39] pick,side [39] side,fascism [39] fascism,bad [39] bad,business [39] business,eventbrite [38] nancylevine,corporate Top Word Pairs in Tweet in G6:
[55] understand,rise [55] rise,asset [55] asset,manager [55] manager,capitalism [55] capitalism,#corpgov [55] #corpgov,regime [55] regime,favorite [55] favorite,chart [55] chart,structure [54] bjmbraun,understand Top Word Pairs in Tweet in G7:
[32] #esg,#corpgov [16] #netzero,#climateaction [13] #corpgov,#sustainability [13] #climateaction,#climatechange [10] #sustainability,#sustainablefinance [10] #sustainablefinance,#netzero [6] #corpgov,#esg [6] #corpgov,#susty [6] glass,lewis [6] #corpgov,#execpay Top Word Pairs in Tweet in G8:
[6] #ceo,#ceos [6] #ceos,#cxo [6] #cxo,#cto [6] #cto,#cmo [6] #cmo,#cfo [6] #cfo,#radio [6] #radio,#tv [6] #tv,#csuite [6] #csuite,#vc [6] #vc,#media Top Word Pairs in Tweet in G9:
[8] widespread,lapses [8] lapses,climate [8] climate,risk [8] risk,reporting [8] reporting,found [8] found,company [8] company,accounts [8] accounts,review [8] review,over [8] over,100 Top Word Pairs in Tweet in G10:
[30] standard,ethics [27] #esg,#corpgov [26] #corpgov,#sri [26] #sustainablefinance,#investmentgrade [26] #investmentgrade,#complyingwiththefuture [24] #sri,#sustainablefinance [18] #sustainability,#rating [11] #ratings,#esg [8] press,release [8] #rating,#esg 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 G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: