The graph represents a network of 6,381 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, 31 March 2022 at 06:57 UTC.
The requested start date was Thursday, 31 March 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 13-day, 0-hour, 35-minute period from Thursday, 17 March 2022 at 13:59 UTC to Wednesday, 30 March 2022 at 14:34 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 : 6381
Unique Edges : 2759
Edges With Duplicates : 9188
Total Edges : 11947
Number of Edge Types : 5
Retweet : 3651
MentionsInRetweet : 3918
Mentions : 707
Replies to : 426
Tweet : 3245
Self-Loops : 3288
Reciprocated Vertex Pair Ratio : 0.00353503846953629
Reciprocated Edge Ratio : 0.00704517198508081
Connected Components : 2037
Single-Vertex Connected Components : 1432
Maximum Vertices in a Connected Component : 1651
Maximum Edges in a Connected Component : 4028
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 4.991447
Graph Density : 0.000118543540556089
Modularity : 0.457248
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,381 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, 31 March 2022 at 06:57 UTC.
The requested start date was Thursday, 31 March 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 13-day, 0-hour, 35-minute period from Thursday, 17 March 2022 at 13:59 UTC to Wednesday, 30 March 2022 at 14:34 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:
[6436] berkshire,hathaway [1399] crypto's,berkshire [1399] million,airdrops [1218] 11,billion [1157] warren,buffett [1061] alleghany,11 [892] hathaway,million [888] airdrop,crypto's [888] airdrops,prize [888] prize,1000 Top Word Pairs in Tweet in G1:
[2067] berkshire,hathaway [488] hathaway,homeservices [394] 11,billion [349] alleghany,11 [309] warren,buffett [173] warren,buffett's [148] buffett's,berkshire [131] hathaway,buy [127] insurer,alleghany [111] insurance,company Top Word Pairs in Tweet in G2:
[843] airdrop,crypto's [843] crypto's,berkshire [843] berkshire,hathaway [843] hathaway,million [843] million,airdrops [843] airdrops,prize [843] prize,1000 [843] 1000,busd [843] busd,16 [843] 16,million Top Word Pairs in Tweet in G3:
[497] berkshire,hathaway [496] crypto's,berkshire [496] million,airdrops [451] hathaway,giving [451] giving,million [451] airdrops,busd [451] busd,bho [451] bho,co [451] co,khexi2c0tl [450] blackholedao_,crypto's Top Word Pairs in Tweet in G4:
[475] berkshire,hathaway [356] 11,billion [288] alleghany,11 [261] insurance,company [261] company,alleghany [260] buy,insurance [219] buffett's,berkshire [213] warren,buffett [181] warren,buffett's [157] reuters,icymi Top Word Pairs in Tweet in G5:
[166] berkshire,hathaway [108] warren,buffett [107] 11,billion [72] company,alleghany [71] alleghany,11 [64] buy,insurance [64] insurance,company [44] cnbc,warren [41] biggest,deal [38] hathaway,agrees Top Word Pairs in Tweet in G6:
[160] parasitic,cruel [160] cruel,price [160] price,gouge [160] gouge,during [160] during,pandemic [160] pandemic,periods [160] periods,war [160] war,profiteering [160] profiteering,misery [160] misery,end Top Word Pairs in Tweet in G7:
[179] berkshire,hathaway [49] warren,buffett [49] 11,billion [43] alleghany,11 [32] warren,buffett's [28] billion,cash [28] 848,02 [28] 02,share [20] drdavidkass,berkshire [18] hathaway,buying Top Word Pairs in Tweet in G8:
[182] berkshire,hathaway [48] warren,buffett's [43] warren,buffett [41] alleghany,11 [40] median,house [38] buffett's,berkshire [36] house,cost [27] buy,alleghany [26] 11,billion [26] hathaway,buy Top Word Pairs in Tweet in G9:
[95] berkshire,hathaway [54] zerohedge,berkshire [53] hathaway,buy [53] buy,alleghany [53] alleghany,848 [53] 848,02 [53] 02,shr [53] shr,cash [32] 11,billion [31] buffett's,berkshire Top Word Pairs in Tweet in G10:
[98] berkshire,hathaway [49] warren,buffett [39] 11,billion [36] alleghany,11 [34] buffett,berkshire [31] buy,insurer [31] insurer,alleghany [30] hathaway,agreed [30] agreed,buy [18] wsj,warren Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: