The graph represents a network of 6,359 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, 06 October 2022 at 06:51 UTC.
The requested start date was Thursday, 06 October 2022 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 21-day, 17-hour, 6-minute period from Tuesday, 13 September 2022 at 21:25 UTC to Wednesday, 05 October 2022 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 : 6359
Unique Edges : 2746
Edges With Duplicates : 9496
Total Edges : 12242
Number of Edge Types : 5
Retweet : 3700
MentionsInRetweet : 4004
Tweet : 3128
Mentions : 867
Replies to : 543
Self-Loops : 3174
Reciprocated Vertex Pair Ratio : 0.00637065637065637
Reciprocated Edge Ratio : 0.0126606560521772
Connected Components : 1752
Single-Vertex Connected Components : 1171
Maximum Vertices in a Connected Component : 2866
Maximum Edges in a Connected Component : 6373
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.721022
Graph Density : 0.000128937242017306
Modularity : 0.468608
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,359 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, 06 October 2022 at 06:51 UTC.
The requested start date was Thursday, 06 October 2022 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 21-day, 17-hour, 6-minute period from Tuesday, 13 September 2022 at 21:25 UTC to Wednesday, 05 October 2022 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:
[5303] berkshire,hathaway [855] hathaway,homeservices [729] pay,taxes [727] having,pay [726] oh,billionaire [726] billionaire,corporations [726] corporations,having [726] taxes,pity [725] senwhitehouse,oh [527] warren,buffett Top Word Pairs in Tweet in G1:
[2114] berkshire,hathaway [662] hathaway,homeservices [184] minimum,tax [163] warren,buffett [124] tax,hit [119] hardest,study [116] study,shows [104] hathaway,inc [100] homeservices,premier [99] hathaway,amazon Top Word Pairs in Tweet in G2:
[695] oh,billionaire [695] billionaire,corporations [695] corporations,having [695] having,pay [695] pay,taxes [695] taxes,pity [694] senwhitehouse,oh [2] berkshire,hathaway Top Word Pairs in Tweet in G3:
[316] berkshire,hathaway [272] hathaway,2007 [272] 2007,letter [272] letter,warren [272] warren,buffet [272] buffet,groups [272] groups,businesses [272] businesses,categories [272] categories,great [272] great,good Top Word Pairs in Tweet in G4:
[198] finally,pay [198] pay,fair [198] fair,share [198] share,taxes [197] alternate,headline [197] headline,amazon [197] amazon,berkshire [197] berkshire,hathaway [197] hathaway,finally [197] taxes,first Top Word Pairs in Tweet in G5:
[185] berkshire,hathaway [178] everyone,design [178] design,eating [178] eating,world [178] world,berkshire [178] hathaway,web [177] mattturck,everyone [4] f_compounders,berkshire [4] hathaway,2007 [4] 2007,letter Top Word Pairs in Tweet in G6:
[235] berkshire,hathaway [50] buffett's,berkshire [44] warren,buffett [28] hathaway,brk [27] greg,abel [27] more,occidental [26] brk,brk [26] hathaway,buys [25] buys,99 [25] occidental,shares Top Word Pairs in Tweet in G7:
[147] world,admired [147] admired,companies [147] companies,2022 [147] 2022,apple [147] apple,amazon [147] amazon,microsoft [147] microsoft,pfizer [147] pfizer,walt [147] walt,disney [146] theworldindex,world Top Word Pairs in Tweet in G8:
[151] berkshire,hathaway [108] 2009,berkshire [108] hathaway,down [108] down,50 [108] 50,reporter [108] reporter,asked [108] asked,charlie [108] charlie,munger [108] munger,whether [108] whether,worried Top Word Pairs in Tweet in G9:
[104] rail,companies [104] made,record [103] same,rail [103] companies,refusing [103] refusing,provide [103] provide,single [103] single,day [103] day,sick [103] sick,leave [103] leave,guaranteed Top Word Pairs in Tweet in G10:
[119] 巴菲特的伯克希尔哈撒韦公司的苹果股份今年亏了360亿美元,科技巨头苹果的股价今年下跌了24 [119] 科技巨头苹果的股价今年下跌了24,这反映出随着投资者为经济衰退做准备 [119] 这反映出随着投资者为经济衰退做准备,市场将出现更广泛的下滑 [119] 市场将出现更广泛的下滑,以及对新款iphone [119] 以及对新款iphone,14需求下降的担忧 [119] 14需求下降的担忧,特评 [119] 特评,还有苹果过于依赖中共国 [118] fengyunshe,巴菲特的伯克希尔哈撒韦公司的苹果股份今年亏了360亿美元 [118] 还有苹果过于依赖中共国,未来制裁下如何 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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