The graph represents a network of 6,227 Twitter users whose tweets in the requested range contained "berkshire hathaway", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 29 October 2020 at 07:04 UTC.
The requested start date was Thursday, 29 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 23-day, 21-hour, 45-minute period from Sunday, 04 October 2020 at 15:50 UTC to Wednesday, 28 October 2020 at 13:36 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 : 6227
Unique Edges : 3313
Edges With Duplicates : 9837
Total Edges : 13150
Number of Edge Types : 5
Tweet : 3101
Replies to : 495
Retweet : 3681
MentionsInRetweet : 4841
Mentions : 1032
Self-Loops : 3132
Reciprocated Vertex Pair Ratio : 0.00469562300855274
Reciprocated Edge Ratio : 0.00934735436488065
Connected Components : 1542
Single-Vertex Connected Components : 1010
Maximum Vertices in a Connected Component : 3039
Maximum Edges in a Connected Component : 7238
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 9.565973
Graph Density : 0.000154529477987507
Modularity : 0.484955
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,227 Twitter users whose tweets in the requested range contained "berkshire hathaway", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 29 October 2020 at 07:04 UTC.
The requested start date was Thursday, 29 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 23-day, 21-hour, 45-minute period from Sunday, 04 October 2020 at 15:50 UTC to Wednesday, 28 October 2020 at 13:36 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 : berkshire hathaway
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:
[5487] berkshire,hathaway [1284] hathaway,homeservices [763] warren,buffett [710] united,airlines [709] 4evernevertrump,johncornyn [708] top,10 [702] management,kkr [701] 10,corporate [701] corporate,supporters [701] supporters,political Top Word Pairs in Tweet in G1:
[1960] berkshire,hathaway [802] hathaway,homeservices [226] homeservices,premier [226] premier,properties [226] properties,1815 [226] 1815,38th [226] 38th,st [226] st,fargo [226] fargo,nd [226] nd,58103 Top Word Pairs in Tweet in G2:
[703] 4evernevertrump,johncornyn [703] united,airlines [695] management,kkr [694] top,10 [694] 10,corporate [694] corporate,supporters [694] supporters,political [694] political,career [694] career,apollo [694] apollo,management Top Word Pairs in Tweet in G3:
[219] buffett's,berkshire [219] berkshire,hathaway [218] warren,buffett's [206] forbes,warren [206] hathaway,pay [206] pay,million [206] million,fine [206] fine,alleged [206] alleged,iranian [206] iranian,sanctions Top Word Pairs in Tweet in G4:
[205] berkshire,hathaway [114] one,joniernstâ [114] joniernstâ,biggest [114] biggest,funders [114] funders,berkshire [114] hathaway,tell [114] tell,warrenbuffett [114] warrenbuffett,weâ [114] weâ,re [114] re,moving Top Word Pairs in Tweet in G5:
[156] berkshire,hathaway [134] hathaway,bought [134] candies,25m [134] 25m,annual [134] annual,sales [134] sales,30m [134] 30m,earnings [134] earnings,5m [134] 5m,today [133] garrytan,berkshire Top Word Pairs in Tweet in G6:
[131] warren,buffett [117] berkshire,hathaway's [117] hathaway's,warren [61] rapper,businessman [61] businessman,jay [61] jay,speaks [61] speaks,berkshire [61] buffett,trends [61] trends,industry [61] industry,sometimes Top Word Pairs in Tweet in G7:
[91] warren,buffett's [82] businessinsider,warren [73] berkshire,hathaway [64] buffett's,berkshire [46] warren,buffett [30] wells,fargo [23] samsung's,billionaire [23] billionaire,chairman [23] chairman,died [23] died,sunday Top Word Pairs in Tweet in G8:
[118] berkshire,hathaway [98] foreign,subsidiary [98] subsidiary,berkshire [98] hathaway,appears [98] appears,violated [98] violated,sanctions [98] sanctions,iran [98] iran,treasury [98] treasury,department [97] cnnbrk,foreign Top Word Pairs in Tweet in G9:
[111] berkshire,hathaway [53] virtual,goldmine [53] goldmine,berkshire [53] hathaway,enthusiasts [53] enthusiasts,wabuffo [52] shaidardashti,virtual [17] hathaway,source [17] source,deepakvenkatesh [16] thebluehue_,berkshire [14] frase,dia Top Word Pairs in Tweet in G10:
[125] berkshire,hathaway [82] iran,sanctions [81] hathaway,pay [81] million,settle [81] sanctions,violations [78] reuters,berkshire [46] pay,14 [46] 14,million [46] settle,iran [46] violations,claims 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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