The graph represents a network of 4,869 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, 14 May 2020 at 06:43 UTC.
The requested start date was Thursday, 14 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 8-day, 1-hour, 15-minute period from Tuesday, 05 May 2020 at 12:05 UTC to Wednesday, 13 May 2020 at 13:20 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 : 4869
Unique Edges : 2443
Edges With Duplicates : 5850
Total Edges : 8293
Number of Edge Types : 5
Tweet : 2004
Retweet : 2500
MentionsInRetweet : 2747
Mentions : 741
Replies to : 301
Self-Loops : 2043
Reciprocated Vertex Pair Ratio : 0.00878638110928062
Reciprocated Edge Ratio : 0.0174197060424605
Connected Components : 1580
Single-Vertex Connected Components : 1077
Maximum Vertices in a Connected Component : 1847
Maximum Edges in a Connected Component : 3792
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.931854
Graph Density : 0.000155006106582435
Modularity : 0.50956
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 4,869 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, 14 May 2020 at 06:43 UTC.
The requested start date was Thursday, 14 May 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 8-day, 1-hour, 15-minute period from Tuesday, 05 May 2020 at 12:05 UTC to Wednesday, 13 May 2020 at 13:20 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:
[3338] berkshire,hathaway [1333] warren,buffett [441] bill,gates [429] microsoft,berkshire [412] march,13 [412] 13,2020 [411] both,microsoft [410] interesting,bill [410] board,positions [409] hathaway,homeservices Top Word Pairs in Tweet in G1:
[1012] berkshire,hathaway [350] warren,buffett [287] hathaway,homeservices [138] bill,murray [89] annual,meeting [84] murray,asked [83] gave,powerful [83] powerful,answer [82] question,billionaire [82] billionaire,gave Top Word Pairs in Tweet in G2:
[408] interesting,bill [408] bill,gates [408] gates,resigned [408] resigned,board [408] board,positions [408] positions,both [408] both,microsoft [408] microsoft,berkshire [408] berkshire,hathaway [408] hathaway,same Top Word Pairs in Tweet in G3:
[214] berkshire,hathaway [213] finally,someone [213] someone,put [213] put,memos [213] memos,read [213] read,unified [213] unified,pdfs [213] pdfs,put [213] put,one [213] one,berkshire Top Word Pairs in Tweet in G4:
[130] warren,buffett [118] murray,asked [118] asked,warren [118] buffett,question [118] powerful,answer [118] answer,income [117] bill,murray [117] question,billionaire [117] billionaire,gave [117] gave,powerful Top Word Pairs in Tweet in G5:
[74] berkshire,hathaway [71] warren,buffett [28] cnbcnow,breaking [24] buffett,berkshire [22] breaking,warren [22] buffett,wrong [22] wrong,investments [22] investments,airline [22] airline,industry [22] industry,buffett Top Word Pairs in Tweet in G6:
[78] atul,gawande [66] berkshire,hathaway [63] gawande,talks [63] talks,step [60] step,down [60] down,ceo [56] harvard,surgeon [55] surgeon,writer [55] writer,shift [55] shift,role Top Word Pairs in Tweet in G7:
[90] warren,buffett [90] buffett,believes [90] believes,create [90] create,society [90] society,under [90] under,normal [90] normal,conditions [90] conditions,more [90] more,60 [90] 60,000 Top Word Pairs in Tweet in G8:
[89] berkshire,hathaway [88] warren,buffett's [88] buffett's,company [88] company,berkshire [88] hathaway,sells [88] sells,shares [88] shares,four [88] four,largest [88] largest,airlines [88] airlines,conglomerate Top Word Pairs in Tweet in G9:
[46] warren,buffett [23] junta,anual [23] anual,accionistas [23] accionistas,berkshire [23] buffett,137 [23] 137,billion [23] billion,hand [23] huge,think [23] think,worst [23] worst,case Top Word Pairs in Tweet in G10:
[42] berkshire,hathaway [32] #newsom,buys [32] buys,masks [32] masks,#chinese [32] #chinese,company [32] company,props [32] props,#china [32] #china,economy [32] economy,2020 [32] 2020,guv Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: