The graph represents a network of 1,544 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, 05 April 2020 at 05:30 UTC.
The requested start date was Sunday, 05 April 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, 7-hour, 7-minute period from Sunday, 22 March 2020 at 00:27 UTC to Saturday, 04 April 2020 at 07:35 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 : 1544
Unique Edges : 2282
Edges With Duplicates : 4774
Total Edges : 7056
Number of Edge Types : 4
Mentions : 3498
Tweet : 1512
Replies to : 77
MentionsInRetweet : 1969
Self-Loops : 1512
Reciprocated Vertex Pair Ratio : 0.0294233032561789
Reciprocated Edge Ratio : 0.0571646341463415
Connected Components : 147
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 1230
Maximum Edges in a Connected Component : 6586
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.487916
Graph Density : 0.00110141404101424
Modularity : 0.318424
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 1,544 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, 05 April 2020 at 05:30 UTC.
The requested start date was Sunday, 05 April 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, 7-hour, 7-minute period from Sunday, 22 March 2020 at 00:27 UTC to Saturday, 04 April 2020 at 07:35 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:
[1355] gt,gt [345] covid,19 [272] #corpgov,togovern [263] mikequindazzi,gt [262] gt,#pwc [258] ge,#ge [253] #pwc,mikequindazzi [248] #hackers,#cyberattacks [247] ways,#hackers [247] #cyberattacks,attempt Top Word Pairs in Tweet in G1:
[1273] gt,gt [256] gt,#pwc [254] mikequindazzi,gt [247] #pwc,mikequindazzi [245] #hackers,#cyberattacks [244] ways,#hackers [244] #cyberattacks,attempt [244] attempt,disrupt [244] disrupt,activity [200] activity,gt Top Word Pairs in Tweet in G2:
[210] #corpgov,togovern [206] ge,#ge [139] seema,sapra [132] delhi,high [131] high,court [126] survivor,seema [124] #ge,#fcpa [124] #fcpa,#corpgov [124] #corpgov,whistleblower [124] whistleblower,#metoo Top Word Pairs in Tweet in G3:
[99] harvardcorpgov,posted [98] covid,19 [38] #execpay,#corpgov [28] #corpgov,#esg [26] #corpgov,#proxyvoting [25] corporate,governance [22] pandemic,#corpgov [22] #corpgov,#covid19 [21] executive,pay [16] directors,#corpgov Top Word Pairs in Tweet in G4:
[23] covid,19 [15] ø,ø [13] ø,ù [12] ù,ø [6] hls,corp [6] corp,gov [6] gov,forum [4] private,equity [4] 19,pandemic [4] impact,covid Top Word Pairs in Tweet in G5:
[11] covid,19 [10] #corpgov,#esg [7] supreme,court [6] financial,crisis [5] over,past [4] past,week [4] week,gt [4] gt,110 [4] 110,pub [4] pub,cos Top Word Pairs in Tweet in G6:
[54] rightwingwatch,hi [54] hi,google [54] google,ceo [54] ceo,sundar [54] sundar,pichai [54] pichai,sundarpichai [54] sundarpichai,googlenews [54] googlenews,give [54] give,#antisemitic [54] #antisemitic,extremist Top Word Pairs in Tweet in G7:
[17] #investing,#riskmanagement [16] #corpgov,#nonexec [9] #esg,#corpgov [9] #cfp,#frm [8] #ria,#cfa [8] #cfa,#ria [8] #cfp,#corpgov [7] #riskmanagement,#cfa [7] #ria,#cfp [7] #frm,#cfp Top Word Pairs in Tweet in G8:
[29] #nonexecs,#corpgov [15] non,executive [12] executive,director [9] small,cap [8] inseadalumni,#board [8] director,#nonexecs [7] covid,19 [7] board,member [7] #board,#boardofdirectors [7] #corpgov,#board Top Word Pairs in Tweet in G9:
[24] standard,ethics [23] #esg,#corpgov [23] #corpgov,#sri [22] #sri,#sustainablefinance [22] #sustainablefinance,#investmentgrade [21] #investmentgrade,#complyingwiththefuture [11] #sustainability,#ratings [10] #sustainability,#rating [10] #ratings,#esg [6] #banks,#banking Top Word Pairs in Tweet in G10:
[30] covid,19 [19] #corpgov,#covid19 [18] #corpgov,#boarddiversity [18] #covid19,#coronavirus [14] 19,pandemic [14] #coronavirus,#covid19 [13] board,diversity [13] pandemic,#corpgov [11] amid,covid [11] #corpgov,#coronavirus Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: