The graph represents a network of 6,399 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, 09 December 2021 at 07:58 UTC.
The requested start date was Thursday, 09 December 2021 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 24-day, 1-hour, 20-minute period from Sunday, 14 November 2021 at 13:10 UTC to Wednesday, 08 December 2021 at 14:31 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 : 6399
Unique Edges : 3037
Edges With Duplicates : 9111
Total Edges : 12148
Number of Edge Types : 5
Tweet : 3121
Replies to : 671
Mentions : 1010
Retweet : 3511
MentionsInRetweet : 3835
Self-Loops : 3196
Reciprocated Vertex Pair Ratio : 0.00688468158347676
Reciprocated Edge Ratio : 0.0136752136752137
Connected Components : 1743
Single-Vertex Connected Components : 1063
Maximum Vertices in a Connected Component : 2813
Maximum Edges in a Connected Component : 6259
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.136997
Graph Density : 0.00012860031418046
Modularity : 0.478388
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,399 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, 09 December 2021 at 07:58 UTC.
The requested start date was Thursday, 09 December 2021 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 24-day, 1-hour, 20-minute period from Sunday, 14 November 2021 at 13:10 UTC to Wednesday, 08 December 2021 at 14:31 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:
[6064] berkshire,hathaway [1107] charlie,munger [995] warren,buffett [974] hathaway,homeservices [645] hathaway,charlie [472] wildly,overvalued [470] markets,wildly [470] overvalued,places [458] places,current [372] hathaway,website Top Word Pairs in Tweet in G1:
[1926] berkshire,hathaway [648] hathaway,homeservices [185] realtor,berkshire [155] warren,buffett [126] texas,realty [119] hathaway,home [115] charlie,munger [94] home,services [91] homeservices,texas [74] premier,properties Top Word Pairs in Tweet in G2:
[361] berkshire,hathaway [356] hathaway,website [356] website,622bn [356] 622bn,masterclass [356] masterclass,giving [356] giving,damn [356] damn,think [355] ndamukongsuh,berkshire [4] example,dow [4] dow,needs Top Word Pairs in Tweet in G3:
[252] berkshire,hathaway [180] #amc,#amcsqueeze [157] pension,funds [156] hathaway,buy [156] buy,amc [155] damn,pension [155] funds,selling [155] selling,berkshire [155] amc,sorry [155] sorry,warren Top Word Pairs in Tweet in G4:
[205] berkshire,hathaway [182] markets,wildly [182] wildly,overvalued [181] overvalued,places [181] places,current [164] charlie,munger [156] hathaway,charlie [154] munger,conference [154] conference,markets [152] business,berkshire Top Word Pairs in Tweet in G5:
[197] 要了解这个世界真正发生了什么,请观看蒂姆 [197] 请观看蒂姆,吉伦 [197] 吉伦,tim [197] tim,gielen [197] gielen,长达一小时的纪录片 [197] 长达一小时的纪录片,垄断 [197] 垄断,谁拥有世界 [197] 谁拥有世界,无论哪个行业 [197] 无论哪个行业,最高股东以及决策者都是一样的 [197] 最高股东以及决策者都是一样的,vanguard Top Word Pairs in Tweet in G6:
[220] berkshire,hathaway [197] charlie,munger [170] hathaway,charlie [139] never,invented [131] munger,wishes [130] wishes,crypto [130] crypto,never [124] crypto,berkshire [108] current,environment [93] invented,current Top Word Pairs in Tweet in G7:
[135] berkshire,hathaway [114] charlie,munger [113] hathaway,charlie [112] markets,wildly [112] wildly,overvalued [112] overvalued,places [112] places,current [110] munger,markets [110] current,environment [108] lisaabramowicz1,berkshire Top Word Pairs in Tweet in G8:
[145] berkshire,hathaway [117] dougboneparth,berkshire [117] hathaway,gets [117] gets,800 [117] 800,million [117] million,year [117] year,apple [117] apple,dividends [117] dividends,80 [117] 80,year Top Word Pairs in Tweet in G9:
[101] 000,000 [100] 2020,tim [100] tim,cook [100] cook,earned [100] earned,265 [100] 265,000 [100] 000,total [100] total,compensation [100] compensation,ceo [100] ceo,aapl Top Word Pairs in Tweet in G10:
[195] berkshire,hathaway [179] charlie,munger [86] vice,chairman [66] hathaway,vice [62] chairman,charlie [56] warren,buffett [46] hathaway,charlie [30] never,invented [29] crazier,dotcom [25] munger,warren 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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