The graph represents a network of 3,227 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, 31 May 2020 at 05:31 UTC.
The requested start date was Sunday, 31 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 5-hour, 48-minute period from Sunday, 17 May 2020 at 01:24 UTC to Saturday, 30 May 2020 at 07:12 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 : 3227
Unique Edges : 2891
Edges With Duplicates : 10415
Total Edges : 13306
Number of Edge Types : 5
Retweet : 2688
MentionsInRetweet : 4707
Mentions : 4684
Tweet : 1123
Replies to : 104
Self-Loops : 1180
Reciprocated Vertex Pair Ratio : 0.0146758313208248
Reciprocated Edge Ratio : 0.0289271329183449
Connected Components : 131
Single-Vertex Connected Components : 65
Maximum Vertices in a Connected Component : 2799
Maximum Edges in a Connected Component : 12349
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.854829
Graph Density : 0.000524672579143237
Modularity : 0.335948
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 3,227 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, 31 May 2020 at 05:31 UTC.
The requested start date was Sunday, 31 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 5-hour, 48-minute period from Sunday, 17 May 2020 at 01:24 UTC to Saturday, 30 May 2020 at 07:12 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 G2:
[1563] ge,#ge [1533] #corpgov,whistleblower [1533] attempt,murder [1533] murder,ge [1522] seema,sapra [1522] realdonaldtrump,fbi [1522] whistleblower,#metoo [1522] #metoo,survivor [1522] survivor,seema [1522] delhipolice,cpdelhi Top Word Pairs in Tweet in G3:
[226] #corpgov,#ceo [226] #ceo,#cfo [224] #board,#boardofdirectors [224] #boardofdirectors,#directorship [224] #directorship,#governance [212] #esg,#grc [211] covid,19 [211] harvardcorpgov,posted [209] #compensationcommittee,#auditcommittee [207] #auditcommittee,#nomgov Top Word Pairs in Tweet in G4:
[112] standard,ethics [111] #corpgov,#sri [111] #sri,#sustainablefinance [91] #sustainablefinance,#investmentgrade [78] #esg,#corpgov [54] #investmentgrade,#complyingwiththefuture [52] #sustainability,#rating [47] #sustainability,#ratings [37] #rating,#esg [37] #ratings,#esg Top Word Pairs in Tweet in G5:
[31] board,members [30] recent,news [28] news,curated [26] curated,internal [22] internal,auditors [22] auditors,board [19] members,#internalaudit [8] #internalaudit,#corpgov [8] #corpgov,#compliance [7] gt,gt Top Word Pairs in Tweet in G6:
[11] fernandes_shai,jagertwee [10] jagertwee,0987654321id [10] 0987654321id,benniedoorsnee [10] benniedoorsnee,jb_hilterman [10] jb_hilterman,possiblywim [10] possiblywim,yapo_el_guapo [10] yapo_el_guapo,boomgaardtim [10] boomgaardtim,bourgonje [7] bourgonje,buzztruus [6] buzztruus,ger19511 Top Word Pairs in Tweet in G7:
[3] #morewomenonboards,#womengetonboard [3] #corpgov,#morewomenonboards [3] wgob,members [3] #corpgov,#ethicsgov [3] #womengetonboard,#corpgov [3] getting,board [3] board,ready [3] #ethicsgov,#corpgov [3] lovely,talk [3] talk,#virginaustralia Top Word Pairs in Tweet in G8:
[7] news,business [6] business,groups [6] groups,calling [6] calling,loans [5] loans,small [5] small,businesses [5] businesses,become [5] become,grants [5] grants,saying [5] saying,gov Top Word Pairs in Tweet in G9:
[36] gt,gt [36] #board's,role [36] role,#digitaltransformation [36] #digitaltransformation,2020 [36] 2020,gt [36] gt,#pwc [36] #pwc,mikequindazzi [36] gt,#boardroom [36] #boardroom,#ai [36] #ai,#iot Top Word Pairs in Tweet in G10:
[160] general,counsel [39] counsel,#corpgov [39] ceo,susan [39] susan,keating [39] #corpgov,#generalcounsel [39] #corpgov,#esg [39] keating,shares [39] deputy,general [39] #corpgov,#grc [31] piece,directorsboards Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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