The graph represents a network of 2,308 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 Wednesday, 04 December 2019 at 01:09 UTC.
The requested start date was Monday, 02 December 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, 14-hour, 14-minute period from Thursday, 21 November 2019 at 10:19 UTC to Monday, 02 December 2019 at 00:34 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 : 2308
Unique Edges : 4322
Edges With Duplicates : 7342
Total Edges : 11664
Number of Edge Types : 3
Mentions : 10162
Tweet : 1341
Replies to : 161
Self-Loops : 1341
Reciprocated Vertex Pair Ratio : 0.0238290879211175
Reciprocated Edge Ratio : 0.0465489566613162
Connected Components : 79
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 1609
Maximum Edges in a Connected Component : 9859
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.579028
Graph Density : 0.00093604048863417
Modularity : 0.346083
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,308 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 Wednesday, 04 December 2019 at 01:09 UTC.
The requested start date was Monday, 02 December 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, 14-hour, 14-minute period from Thursday, 21 November 2019 at 10:19 UTC to Monday, 02 December 2019 at 00:34 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:
[745] gt,gt [500] ge,#ge [482] ceo,pay [476] median,total [476] total,ceo [474] 2009,median [474] pay,million [474] million,2019 [473] joshseefried,cafeangst [473] cafeangst,really Top Word Pairs in Tweet in G1:
[571] gt,gt [123] gt,#pwc [117] #pwc,mikequindazzi [108] mikequindazzi,gt [106] #corpgov,#ceo [85] #ceo,#cfo [68] #automation,#rpa [67] #robotic,process [67] process,#automation [67] #rpa,doing Top Word Pairs in Tweet in G2:
[473] median,total [473] total,ceo [473] ceo,pay [472] joshseefried,cafeangst [472] cafeangst,really [472] really,feel [472] feel,2009 [472] 2009,median [472] pay,million [472] million,2019 Top Word Pairs in Tweet in G3:
[488] ge,#ge [393] #corpgov,togovern [343] #fcpa,#corpgov [337] #ge,#fcpa [324] #metoo,survivor [322] survivor,seema [320] seema,sapra [271] realdonaldtrump,fbi [262] delhipolice,cpdelhi [259] fbi,potus Top Word Pairs in Tweet in G4:
[23] #corpgov,#cga19 [17] corporate,governance [13] governance,awards [9] #corpgov,#grc [9] large,cap [9] 2019,#corporategovernance [9] #corporategovernance,forum [8] proxy,season [8] cap,sponsored [7] 2020,proxy Top Word Pairs in Tweet in G5:
[28] #ifctrailblazers,#corpgov [16] latin,america [11] inseadalumni,#board [11] america,launch [11] launch,recent [11] juntas,directivas [10] #board,#boardofdirectors [9] #boardofdirectors,#ned [9] #ned,#corpgov [9] today,#ifctrailblazers Top Word Pairs in Tweet in G6:
[83] acktobda,gtconway3d [45] gtconway3d,decisions [45] decisions,analysis [45] analysis,regarding [45] regarding,public [45] public,securities [45] securities,disclosure [45] disclosure,arguable [45] arguable,mere [44] mere,identificat Top Word Pairs in Tweet in G7:
[9] invitation,président [9] président,christophburen [9] christophburen,interviendrai [9] interviendrai,11 [9] 11,12 [9] 12,ag [9] ag,vivescia [8] vivescia,parler [8] parler,rôles [8] bvaliorgue,invitation Top Word Pairs in Tweet in G8:
[24] gt,gt [5] #pwc,mikequindazzi [4] gt,#pwc [4] mikequindazzi,gt [3] #dataanalytics,#corpgov [3] last,year [3] proxy,process [3] annual,meeting [3] #agm,#shareholders [3] proxy,voting Top Word Pairs in Tweet in G9:
[12] recent,news [12] news,curated [12] curated,internal [12] internal,auditors [12] auditors,board [12] board,members [12] members,#internalaudit [12] #internalaudit,#corpgov [12] #corpgov,thanks [6] #compliance,#riskmanagement Top Word Pairs in Tweet in G10:
[3] investors,hold [2] denver,knus [2] knus,radio [2] radio,host [2] host,craigscolorado [2] craigscolorado,fired [2] fired,mid [2] mid,show [2] show,criticizing [2] criticizing,trump 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 G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: