The graph represents a network of 171 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, 12 August 2020 at 23:48 UTC.
The requested start date was Wednesday, 12 August 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, 12-hour, 41-minute period from Wednesday, 29 July 2020 at 05:00 UTC to Tuesday, 11 August 2020 at 17:41 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 : 171
Unique Edges : 75
Edges With Duplicates : 344
Total Edges : 419
Number of Edge Types : 5
Retweet : 144
MentionsInRetweet : 154
Tweet : 82
Mentions : 31
Replies to : 8
Self-Loops : 82
Reciprocated Vertex Pair Ratio : 0.0136986301369863
Reciprocated Edge Ratio : 0.027027027027027
Connected Components : 46
Single-Vertex Connected Components : 33
Maximum Vertices in a Connected Component : 54
Maximum Edges in a Connected Component : 223
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.634116
Graph Density : 0.00509115927072583
Modularity : 0.354704
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 171 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, 12 August 2020 at 23:48 UTC.
The requested start date was Wednesday, 12 August 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, 12-hour, 41-minute period from Wednesday, 29 July 2020 at 05:00 UTC to Tuesday, 11 August 2020 at 17:41 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:
[1362] þ,þ [86] þ,þª [86] þª,þ [44] þ,þªþƒþ [42] þ,þˆþ [42] þˆþ,þ [25] þ,þœþ [24] þœþ,þ [23] þ,þªþ [23] þªþ,þ Top Word Pairs in Tweet in G1:
[4] berkshire,hathaway [3] #brk,#erding [3] #brk,#brooksideenergy [3] #asx,#ausbiz [3] #ausbiz,#smallcaps [3] द,र [3] एयर,इ [3] इ,ड [3] ड,य [3] य,क Top Word Pairs in Tweet in G2:
[13] berufstätige,rentner [13] rentner,schüler [13] schüler,studenten [13] studenten,verschiedensten [13] verschiedensten,geschichten [13] geschichten,interessen [12] brkaktuell,berufstätige [12] interessen,talenten [10] teststationen,#bayern [10] #bayern,die Top Word Pairs in Tweet in G3:
[1300] þ,þ [82] þ,þª [82] þª,þ [42] þ,þªþƒþ [40] þ,þˆþ [40] þˆþ,þ [24] þ,þœþ [23] þœþ,þ [22] þ,þªþ [22] þªþ,þ Top Word Pairs in Tweet in G4:
[62] þ,þ [16] 30,ah [15] #brk,kurin [15] kurin,rey [15] rey,muzaahara [15] muzaahara,hayyarukoh [15] hayyarukoh,court [15] court,ah [15] ah,gendhiumun [15] gendhiumun,court Top Word Pairs in Tweet in G5:
[5] die,rotkreuz [5] kommen,ganz [5] ganz,bayern [5] kommen,ehrenamtlichen [5] ehrenamtlichen,bereich [4] sohrab_taheri,die [4] rotkreuz,krã [4] krã,fte [4] fte,kommen [4] bayern,unterstã Top Word Pairs in Tweet in G6:
[10] 30,uhr [7] #brk,#drk [6] #brk,kreisverband [6] uhr,20 [5] #brk,#erding [5] nã,chter [5] chter,blutspendetermin [5] blutspendetermin,erding [5] erding,10 [5] 10,11 Top Word Pairs in Tweet in G7:
[8] erste,#covid [8] #covid,teststation [8] teststation,grenze [8] grenze,#brk [8] #brk,#thw [8] #thw,bauen [8] bauen,mittag [8] mittag,parkplatz [8] parkplatz,donautal [8] donautal,west Top Word Pairs in Tweet in G8:
[8] friday,strip [8] strip,club [8] club,youtube [8] youtube,#spaceghostpurrp [8] #spaceghostpurrp,#friday [8] #friday,#nasa [8] #nasa,#raiderklan [8] #raiderklan,#brk [8] #brk,#275 [7] raidrklnrecords,friday Top Word Pairs in Tweet in G9:
[6] die,arge [6] arge,bevölkerungsschutz [5] einsatzkrã,fte [5] fte,#brk [5] #brk,rosenheim [5] rosenheim,#hochwassereinsatz [5] #hochwassereinsatz,entlassen [5] entlassen,weiterhin [5] weiterhin,#alarmbereitschaft [5] #alarmbereitschaft,falls Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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 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: