The graph represents a network of 6,214 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, 08 December 2022 at 07:53 UTC.
The requested start date was Thursday, 08 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 17-day, 1-hour, 39-minute period from Sunday, 20 November 2022 at 12:58 UTC to Wednesday, 07 December 2022 at 14:38 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 : 6214
Unique Edges : 2571
Edges With Duplicates : 9797
Total Edges : 12368
Number of Edge Types : 5
Replies to : 668
Tweet : 2741
Retweet : 4047
MentionsInRetweet : 4252
Mentions : 660
Self-Loops : 2787
Reciprocated Vertex Pair Ratio : 0.0026573998364677
Reciprocated Edge Ratio : 0.00530071355759429
Connected Components : 1676
Single-Vertex Connected Components : 1111
Maximum Vertices in a Connected Component : 2698
Maximum Edges in a Connected Component : 5651
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.731995
Graph Density : 0.000127047583554961
Modularity : 0.440102
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,214 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, 08 December 2022 at 07:53 UTC.
The requested start date was Thursday, 08 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 17-day, 1-hour, 39-minute period from Sunday, 20 November 2022 at 12:58 UTC to Wednesday, 07 December 2022 at 14:38 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:
[5760] berkshire,hathaway [1456] warren,buffett [698] hathaway,homeservices [657] buffett,berkshire [625] coca,cola [541] railroad,workers [471] hathaway,owns [415] owns,bnsf [408] warren,buffett's [375] sick,days Top Word Pairs in Tweet in G1:
[2018] berkshire,hathaway [620] hathaway,homeservices [380] warren,buffett [156] salhany,realty [156] realty,inc [156] homeservices,simon [156] simon,salhany [131] buffett,berkshire [119] #oh,#realestate [114] website,using Top Word Pairs in Tweet in G2:
[347] sick,days [347] railroad,workers [346] president's,approval [346] more,railroad [346] approval,rating [346] workers,getting [346] care,more [346] getting,sick [346] rating,berkshire [346] days,president's Top Word Pairs in Tweet in G3:
[597] coca,cola [520] berkshire,hathaway [336] list,top [335] shares,owned [335] cola,first [335] see,list [335] top,ten [335] first,more [335] institutions,see [335] owned,institutions Top Word Pairs in Tweet in G4:
[298] berkshire,hathaway [297] warren,buffett [296] rail,companies [296] owns,bnsf [296] put,perspective [296] one,nation's [296] nation's,largest [296] buffett,berkshire [296] largest,rail [296] bnsf,one Top Word Pairs in Tweet in G5:
[244] berkshire,hathaway [101] warren,buffett [45] trading,houses [44] hathaway,stock [43] brk,brk [40] cnbc,warren [39] million,berkshire [39] 750,million [37] more,750 [37] run,family Top Word Pairs in Tweet in G6:
[183] berkshire,hathaway [161] ago,tesla [161] tesla,worth [161] tesla,150 [161] market,cap [161] billion,year [161] hathaway,market [161] larger,tesla [161] 150,billion [161] back,larger Top Word Pairs in Tweet in G7:
[169] railroad,workers [159] stage,capitalism [159] company,pleads [159] capitalism,corporate [159] buffett's,company [159] pleads,poverty [159] media,warren [159] warren,buffett's [159] corporate,media [159] poverty,railroad Top Word Pairs in Tweet in G8:
[162] berkshire,hathaway [133] charlie,munger [133] hathaway,brk [131] brk,charlie [131] munger,bitcoin [131] bitcoin,currency [131] currency,kidnappers [130] unusual_whales,berkshire [15] warren,buffett [13] intellect,warren Top Word Pairs in Tweet in G9:
[95] berkshire,hathaway [14] tsla,elonmusk [13] merz,garyblack00 [13] teslaboomermama,tsla [13] black,alexandra [13] twitter,wechat [13] wechat,gary [13] hathaway,twitter [13] gary,black [13] tesla,berkshire Top Word Pairs in Tweet in G10:
[139] saudi,aramco [137] 2t,amazon [137] top,global [137] aramco,9t [137] global,market [137] market,caps [137] microsoft,8t [137] 2t,saudi [137] google,2t [137] 9t,microsoft 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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Top Tweeters in G10: