The graph represents a network of 1,660 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 Thursday, 14 November 2019 at 23:41 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 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 10-day, 16-hour, 33-minute period from Thursday, 31 October 2019 at 08:27 UTC to Monday, 11 November 2019 at 01:00 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 : 1660
Unique Edges : 2718
Edges With Duplicates : 7931
Total Edges : 10649
Number of Edge Types : 3
Mentions : 8978
Tweet : 1561
Replies to : 110
Self-Loops : 1561
Reciprocated Vertex Pair Ratio : 0.0302737520128824
Reciprocated Edge Ratio : 0.0587683651140982
Connected Components : 109
Single-Vertex Connected Components : 76
Maximum Vertices in a Connected Component : 1453
Maximum Edges in a Connected Component : 10416
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.561172
Graph Density : 0.00116160845915307
Modularity : 0.226849
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,660 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 Thursday, 14 November 2019 at 23:41 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 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 10-day, 16-hour, 33-minute period from Thursday, 31 October 2019 at 08:27 UTC to Monday, 11 November 2019 at 01:00 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[935] gt,gt [878] #corpgov,togovern [441] ge,#ge [357] #fcpa,#corpgov [345] #ge,#fcpa [344] survivor,seema [340] seema,sapra [326] #metoo,survivor [310] realdonaldtrump,fbi [304] fbi,potus Top Word Pairs in Tweet in G1:
[456] #corpgov,togovern [102] gt,gt [78] #corpgov,#ceo [77] #ceo,#cfo [65] harvardcorpgov,posted [62] #board,#boardofdirectors [60] corporate,governance [59] #boardofdirectors,#directorship [57] #directorship,#governance [44] #corpgov,#esg Top Word Pairs in Tweet in G2:
[421] #corpgov,togovern [403] ge,#ge [319] #fcpa,#corpgov [314] #ge,#fcpa [314] survivor,seema [313] seema,sapra [304] delhipolice,cpdelhi [303] realdonaldtrump,fbi [303] fbi,potus [303] potus,pmoindia Top Word Pairs in Tweet in G3:
[631] gt,gt [138] mikequindazzi,gt [96] #pwc,mikequindazzi [81] gt,#pwc [59] #machinelearning,#deeplearning [51] top,#ai [51] #ai,risks [51] risks,business [51] business,technology [51] technology,leaders Top Word Pairs in Tweet in G4:
[26] equilarinc,notes [26] #corpgov,source [20] #execcomp,#corpgov [17] compensation,committee [15] committee,forum [11] #corpgov,#grc [10] earned,23 [9] equilar,nasdaqcorpgov [9] nasdaqcorpgov,compensation [9] board,directors Top Word Pairs in Tweet in G5:
[15] ã,ã [6] corporate,governance [5] ãƒ,ム[4] #corpgov,#esg [4] å,ã [3] shareholder,activism [3] conflicted,controllers [3] controllers,â [3] â,œ800 [3] œ800,pound Top Word Pairs in Tweet in G6:
[11] recent,news [11] news,curated [11] curated,internal [11] internal,auditors [11] auditors,board [11] board,members [11] members,#internalaudit [11] #internalaudit,#corpgov [11] #corpgov,thanks [8] #compliance,#riskmanagement Top Word Pairs in Tweet in G7:
[8] great,read [8] read,new [8] new,ownership [8] ownership,structures [8] structures,lock [8] lock,social [8] social,mission [8] mission,biz [8] biz,e [8] e,g Top Word Pairs in Tweet in G8:
[11] corporate,governance [10] latest,corporate [10] governance,briefing [10] briefing,thanks [7] oec2solutions,diversity [7] diversity,inclusion [7] inclusion,giving [7] giving,value [7] value,human [7] human,being Top Word Pairs in Tweet in G9:
[12] now,advancing [12] advancing,policies [12] policies,aimed [12] aimed,disenfranchising [12] disenfranchising,#investors [12] #investors,seek [12] seek,engage [12] engage,#companies [12] #companies,encourage [12] check,out Top Word Pairs in Tweet in G10:
[36] million,worth [35] uber,co [35] co,founder [35] founder,travis [35] travis,kalanick [35] kalanick,sold [35] sold,547 [35] 547,million [35] worth,uber [35] uber,stock Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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: