The graph represents a network of 1,496 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, 03 January 2021 at 02:51 UTC.
The requested start date was Sunday, 03 January 2021 at 01:01 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, 6-hour, 10-minute period from Sunday, 20 December 2020 at 02:11 UTC to Saturday, 02 January 2021 at 08:22 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 : 1496
Unique Edges : 1981
Edges With Duplicates : 6336
Total Edges : 8317
Number of Edge Types : 5
Retweet : 1355
MentionsInRetweet : 3163
Mentions : 2771
Tweet : 961
Replies to : 67
Self-Loops : 1015
Reciprocated Vertex Pair Ratio : 0.0145156200694225
Reciprocated Edge Ratio : 0.0286158631415241
Connected Components : 101
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 1268
Maximum Edges in a Connected Component : 8026
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.724804
Graph Density : 0.00143750111780802
Modularity : 0.331029
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,496 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, 03 January 2021 at 02:51 UTC.
The requested start date was Sunday, 03 January 2021 at 01:01 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, 6-hour, 10-minute period from Sunday, 20 December 2020 at 02:11 UTC to Saturday, 02 January 2021 at 08:22 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:
[371] #corpgov,togovern [335] #startups,aspiring [335] aspiring,#entrepreneurs [335] #entrepreneurs,link [326] awesome,books [326] books,#startups [294] trump,2021 [292] platforming,trump [275] 2021,inauguration [272] inauguration,event Top Word Pairs in Tweet in G1:
[290] trump,2021 [289] platforming,trump [272] 2021,inauguration [270] inauguration,event [270] event,40 [269] eventbrite,know [269] know,platforming [269] 40,ticket [239] davidmweissman,lifesafeast [239] lifesafeast,eventbrite Top Word Pairs in Tweet in G2:
[371] #corpgov,togovern [144] #corpgov,#ceo [141] #ceo,#cfo [99] #board,#boardofdirectors [94] #boardofdirectors,#directorship [74] board,directors [62] support,petition [61] stakepbc,#economicinequality [60] #directorship,#governance [60] #cfo,#chro Top Word Pairs in Tweet in G3:
[107] #nonexecs,#corpgov [83] #ge,#fcpa [83] #fcpa,#corpgov [82] ongoing,attempt [82] attempt,murder [82] murder,ge [82] ge,#ge [82] #corpgov,whistleblower [82] whistleblower,seema [82] seema,sapra Top Word Pairs in Tweet in G4:
[14] shesrideordie,googleexpertuk [14] googleexpertuk,shades_dirty [14] shades_dirty,drumeshprabhu [14] drumeshprabhu,braincures [12] do_kinder,shesrideordie [7] braincures,delusionalacad1 [7] delusionalacad1,proftimnoakes [7] proftimnoakes,angelasuttner [7] braincures,proftimnoakes [7] proftimnoakes,gentlewomanboss Top Word Pairs in Tweet in G5:
[303] #startups,aspiring [303] aspiring,#entrepreneurs [303] #entrepreneurs,link [295] awesome,books [295] books,#startups [234] ravikikan,#startup [192] gt,ravikikan [182] #startup,#tech [150] link,ravikikan [142] link,gt Top Word Pairs in Tweet in G6:
[24] harvardcorpgov,posted [12] #corpgov,#esg [12] #boards,ask [12] ask,#cybersecurity [12] #cybersecurity,#riskmanagement [12] #riskmanagement,#compliance [12] #compliance,navigate [12] navigate,pandemic [12] pandemic,disruption [12] disruption,read Top Word Pairs in Tweet in G7:
[20] economics,environment [20] environment,social [20] social,equity [20] equity,sustmeme [20] sustmeme,magazine [20] magazine,stories [7] sustmeme,economics [3] #corpgov,#solar [3] #corpgov,#covid19 [3] stories,duurzondern Top Word Pairs in Tweet in G8:
[4] sober,look [4] look,spacs [3] corporate,governance [2] current,year [2] year,bonus [2] #esg,#corpgov [2] 2020,shareholder [2] shareholder,activism [2] covid,19 [2] special,purpose Top Word Pairs in Tweet in G9:
[8] nuestro,aprendizaje [8] aprendizaje,recuperación [8] recuperación,democrática [8] democrática,1983 [8] 1983,convence [8] convence,abandonar [8] abandonar,idea [7] fcomaustral,nuestro [2] gobierno,corporativo [2] acdeargentina,cc Top Word Pairs in Tweet in G10:
[6] #jamieiannone,#corpgov [3] #corpgov,#fintech [3] more,clarity [2] reddit,shows [2] shows,happened [2] happened,battery [2] battery,box [2] box,looks [2] looks,#seller [2] #seller,took Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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 G9:
Top Tweeters in G10: