The graph represents a network of 11,596 Twitter users whose recent tweets contained "#bbc", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 10 September 2019 at 09:48 UTC.
The tweets in the network were tweeted over the 5-day, 6-hour, 37-minute period from Thursday, 05 September 2019 at 01:49 UTC to Tuesday, 10 September 2019 at 08:26 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 : 11596
Unique Edges : 14168
Edges With Duplicates : 4378
Total Edges : 18546
Self-Loops : 3536
Reciprocated Vertex Pair Ratio : 0.0125589891916578
Reciprocated Edge Ratio : 0.0248064346388033
Connected Components : 2165
Single-Vertex Connected Components : 1263
Maximum Vertices in a Connected Component : 6509
Maximum Edges in a Connected Component : 11203
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.430977
Graph Density : 9.89397096231455E-05
Modularity : 0.697521
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2015] twitter,anonymous [1896] uk,#bbc [1895] skynews,australia [1895] australia,#brexit [1895] #brexit,exactly [1895] exactly,right [1895] right,skynews [1895] skynews,uk [1895] biased,bought [1895] bought,agenda Top Word Pairs in Tweet in G1:
[1776] twitter,anonymous [1676] skynews,australia [1676] australia,#brexit [1676] #brexit,exactly [1676] exactly,right [1676] right,skynews [1676] skynews,uk [1676] uk,#bbc [1676] biased,bought [1676] bought,agenda Top Word Pairs in Tweet in G2:
[98] 2019,09 [85] #bbc,#cnn [63] #italy,#spain [53] #abc,#cbs [52] #cnn,#reuters [52] #reuters,#ap [52] #ap,#afp [52] #afp,#abc [52] #cbs,#nyt [52] #nyt,#wsj Top Word Pairs in Tweet in G3:
[80] #ge2019,now [80] #twitter,#bbc [76] #bbc,#bbcnews [74] #c4news,#trending [70] #uk,#ge2019 [58] now,#twitter [52] #bbc,bbcworld [46] bbcworld,#c4news [40] far,right [40] #worldservice,#bbc Top Word Pairs in Tweet in G4:
[337] #bbc,s [334] #brexit,attention [334] attention,turns [334] turns,reforming [334] reforming,#bbc [334] s,payback [334] payback,time [334] time,bbc [334] bbc,bias [334] bias,'rotten' Top Word Pairs in Tweet in G5:
[249] 20,000 [249] 000,peaceful [249] peaceful,marchers [249] marchers,perth [249] perth,5 [249] 5,000 [249] 000,merthyr [249] merthyr,tydfil [249] tydfil,wanting [249] wanting,independence Top Word Pairs in Tweet in G6:
[68] न,क [48] स,त [35] त,म [34] प,क [34] क,स [32] हम,र [29] य,क [27] म,ल [27] कर,प [27] त,न Top Word Pairs in Tweet in G7:
[179] someone,proud [179] proud,work [179] work,journalist [179] journalist,#bbcscotland [179] #bbcscotland,news [179] news,current [179] current,affairs [179] affairs,back [179] back,80s [179] 80s,90s Top Word Pairs in Tweet in G8:
[588] हम,र [562] क,त [562] र,द [562] द,श [315] व,ल [307] त,म [301] ह,क [281] ज,अपन [281] अपन,स [281] स,स Top Word Pairs in Tweet in G9:
[54] haha,#bbc [54] #bbc,joining [54] joining,alliance [54] alliance,against [54] against,fake [54] fake,news [54] news,whilst [54] whilst,entirely [54] entirely,failing [54] failing,cover Top Word Pairs in Tweet in G10:
[72] #news,#tech [72] #tech,#trump [72] #trump,#breaking [72] #breaking,#breakingnews [72] #breakingnews,#today [72] #today,#video [72] #video,#cnn [72] #cnn,#howto [72] #howto,#bbc [65] enjoy,big Top Replied-To in Entire Graph:
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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 G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: