The graph represents a network of 74 Twitter users whose tweets in the requested range contained "#BRK", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 21 October 2020 at 23:58 UTC.
The requested start date was Wednesday, 21 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 14-hour, 19-minute period from Wednesday, 07 October 2020 at 05:00 UTC to Tuesday, 20 October 2020 at 19:19 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 : 74
Unique Edges : 59
Edges With Duplicates : 144
Total Edges : 203
Number of Edge Types : 5
Replies to : 6
Mentions : 16
Retweet : 54
Tweet : 58
MentionsInRetweet : 69
Self-Loops : 60
Reciprocated Vertex Pair Ratio : 0.0483870967741935
Reciprocated Edge Ratio : 0.0923076923076923
Connected Components : 33
Single-Vertex Connected Components : 23
Maximum Vertices in a Connected Component : 25
Maximum Edges in a Connected Component : 127
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.294906
Graph Density : 0.0120325805257312
Modularity : 0.330183
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 74 Twitter users whose tweets in the requested range contained "#BRK", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 21 October 2020 at 23:58 UTC.
The requested start date was Wednesday, 21 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 14-hour, 19-minute period from Wednesday, 07 October 2020 at 05:00 UTC to Tuesday, 20 October 2020 at 19:19 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 : #BRK
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:
[12] brk,brookside [12] orion,jv [9] #brk,#drk [7] andreas,tenhofen [7] tenhofen,verstärkt [7] verstärkt,führungsteam [7] führungsteam,brkaktuell [7] brkaktuell,kaufmännischer [7] kaufmännischer,leiter [7] leiter,wohlfahrtintern Top Word Pairs in Tweet in G1:
[3] ãƒ,ム[3] berkshire,hathaway [2] æ,ªè [2] #brk,#brk [2] #gww,#brk Top Word Pairs in Tweet in G2:
[6] andreas,tenhofen [6] tenhofen,verstärkt [6] verstärkt,führungsteam [6] führungsteam,brkaktuell [6] brkaktuell,kaufmännischer [6] kaufmännischer,leiter [6] leiter,wohlfahrtintern [6] wohlfahrtintern,#brk [5] sohrab_taheri,andreas [5] mã,nchner Top Word Pairs in Tweet in G3:
[12] brk,brookside [12] orion,jv [6] proactive_au,brk [6] brookside,energy's [6] energy's,david [6] david,prentice [6] prentice,'thrilled' [6] 'thrilled',orion [6] jv,makes [6] makes,third Top Word Pairs in Tweet in G4:
[9] #brk,#drk [2] morgen,abend [2] abend,könnt [2] könnt,tolles [2] tolles,team [2] team,einmal [2] einmal,sat1 [2] sat1,#lebensretter [2] #lebensretter,#hautnah [2] #hautnah,erleben Top Word Pairs in Tweet in G5:
[5] #pflege,#organisation [5] #karitativeeinrichtung,#scheinheilig [5] #scheinheilig,#deutschland [4] #wallraff,#drk [4] #drk,#pflege [4] #organisation,#karitativeeinrichtung [3] #deutschland,#vergewaltiger [2] roteskreuz_de,rtlde [2] #vergewaltiger,#spanner [2] #spanner,#brk Top Word Pairs in Tweet in G6:
[2] die,alternative [2] alternative,klinikinternen [2] klinikinternen,#blutspendedienst [2] #blutspendedienst,anstatt Top Word Pairs in Tweet in G7:
[4] vampire,money [4] money,aka [4] aka,spaceghostpurrp [4] spaceghostpurrp,miami [4] miami,dade [4] dade,county [4] county,#spaceghostpurrp [4] #spaceghostpurrp,#sgp [4] #sgp,#vampiremoney [4] #vampiremoney,#miami Top Word Pairs in Tweet in G8:
[2] die,sanitäter [2] sanitäter,welche [2] welche,#brk [2] #brk,fußballspielen [2] fußballspielen,die [2] die,#allianzarena [2] #allianzarena,geschickt [2] geschickt,bekommen [2] bekommen,kein [2] kein,geld Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G6:
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: