The graph represents a network of 120 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, 13 October 2021 at 00:04 UTC.
The requested start date was Wednesday, 13 October 2021 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, 30-minute period from Wednesday, 29 September 2021 at 01:29 UTC to Tuesday, 12 October 2021 at 14:00 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 : 120
Unique Edges : 73
Edges With Duplicates : 187
Total Edges : 260
Number of Edge Types : 5
Retweet : 71
MentionsInRetweet : 88
Tweet : 63
Mentions : 35
Replies to : 3
Self-Loops : 63
Reciprocated Vertex Pair Ratio : 0.0392156862745098
Reciprocated Edge Ratio : 0.0754716981132075
Connected Components : 40
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 22
Maximum Edges in a Connected Component : 88
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.269231
Graph Density : 0.00742296918767507
Modularity : 0.426172
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 120 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, 13 October 2021 at 00:04 UTC.
The requested start date was Wednesday, 13 October 2021 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, 30-minute period from Wednesday, 29 September 2021 at 01:29 UTC to Tuesday, 12 October 2021 at 14:00 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:
[18] brk,brookside [18] brookside,energy [18] energy,exceeds [18] exceeds,300 [18] 300,boe [18] boe,day [18] day,mark [18] mark,latest [18] latest,jewell [18] jewell,production Top Word Pairs in Tweet in G1:
[4] fearless,mark [4] week's,game [4] game,day [4] day,prediction [2] #brk,rns [2] rns,insights [2] insights,brk [2] brk,director [2] director,pdmr [2] pdmr,shareholding Top Word Pairs in Tweet in G2:
[18] brk,brookside [18] brookside,energy [18] energy,exceeds [18] exceeds,300 [18] 300,boe [18] boe,day [18] day,mark [18] mark,latest [18] latest,jewell [18] jewell,production Top Word Pairs in Tweet in G3:
[8] heute,#welthundetag [8] #welthundetag,vielen [8] vielen,dank [8] dank,allen [8] allen,vierbeinern [8] vierbeinern,die [8] die,unterstützen [8] unterstützen,helfen [8] helfen,die [8] die,welt Top Word Pairs in Tweet in G5:
[8] #brk,kv [8] kv,münchen [6] 108,hilfeleistungen [6] hilfeleistungen,sportler [6] sportler,innen [6] innen,zuseher [6] zuseher,innen [6] innen,münchen [6] münchen,#marathon [6] #marathon,einsatzkräfte Top Word Pairs in Tweet in G6:
[2] brihasselmann,gruenebundestag [2] gruenebundestag,schahinag [2] schahinag,robinwagener [2] robinwagener,wen [2] wen,sieht [2] sieht,man [2] man,bild [2] bild,fehlt Top Word Pairs in Tweet in G7:
[6] jahre,wartezeit [6] wartezeit,schwimmkurs [6] schwimmkurs,hilft [6] hilft,zuschuss [6] zuschuss,staatsregierung [6] staatsregierung,seepferdchen [6] seepferdchen,wenig [6] wenig,#seepferdchen [5] judithzacher,jahre [5] #seepferdchen,# Top Word Pairs in Tweet in G9:
[4] september,2021 [4] 2021,#brk [4] #brk,seniorenheim [4] seniorenheim,hofberg [4] hofberg,50 [4] 50,bewohner [4] bewohner,mitarbeiter [4] mitarbeiter,#coronavirus [3] wagthom72,september [3] #coronavirus,infiziert Top Word Pairs in Tweet in G10:
[3] grota,rafael [3] brk,ambiental [3] ambiental,pela [3] pela,boa [3] boa,gestão [3] gestão,em [3] em,nossa [3] nossa,maceió [2] reparos,vazamentos [2] vazamentos,água Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
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 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: