The graph represents a network of 10,790 Twitter users whose recent tweets contained "#C4Debate", 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 December 2019 at 04:46 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 16-minute period from Monday, 09 December 2019 at 02:59 UTC to Tuesday, 10 December 2019 at 03:15 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 : 10790
Unique Edges : 18628
Edges With Duplicates : 3710
Total Edges : 22338
Self-Loops : 503
Reciprocated Vertex Pair Ratio : 0.000457852164623289
Reciprocated Edge Ratio : 0.000915285263907251
Connected Components : 76
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 10605
Maximum Edges in a Connected Component : 22124
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.735205
Graph Density : 0.000168932573088077
Modularity : 0.569002
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 10,790 Twitter users whose recent tweets contained "#C4Debate", 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 December 2019 at 04:46 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 16-minute period from Monday, 09 December 2019 at 02:59 UTC to Tuesday, 10 December 2019 at 03:15 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 : TwitterSearch
Graph Term : #C4Debate
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2819] don,t [2572] t,care [1904] #ge2019,#c4debate [1884] turned,up [1788] jo,swinson [1643] #c4debate,tonight [1614] angela,rayner [1517] failed,send [1516] tory,supporters [1516] supporters,here Top Word Pairs in Tweet in G1:
[777] jo,swinson [651] turning,up [624] angela,rayner [433] cathy,newman [418] bedroom,tax [417] boris,johnson [406] turn,up [362] per,child [306] #ge2019,#c4debate [306] want,vote Top Word Pairs in Tweet in G2:
[675] philippa,whitford [670] dr,philippa [562] progressive,policy [503] child,poverty [454] poverty,#c4debate [443] snp's,dr [404] kept,having [404] having,put [404] put,specs [404] specs,hide Top Word Pairs in Tweet in G3:
[1817] don,t [1815] t,care [624] #c4debate,tonight [623] up,#c4debate [613] tories,haven [613] haven,t [607] t,bothered [607] bothered,showing [607] showing,up [607] tonight,proves Top Word Pairs in Tweet in G4:
[992] turned,up [989] tory,supporters [989] supporters,here [989] here,now [989] now,telling [989] telling,l [989] l,wrong [989] wrong,#c4debate [989] #c4debate,sorry [989] sorry,l Top Word Pairs in Tweet in G5:
[652] #ge2019,#c4debate [648] #lbc,caller [648] caller,austerity [648] austerity,personally [648] personally,affect [648] affect,brandon [648] brandon,lewis [648] lewis,personal [648] personal,experience [648] experience,austerity Top Word Pairs in Tweet in G6:
[606] austerity,never [606] never,saving [606] saving,money [606] money,actually [606] actually,cost [606] cost,uk [606] uk,billions [606] billions,shrank [606] shrank,economy [606] economy,austerity Top Word Pairs in Tweet in G7:
[311] #ge2019,#c4debate [298] boris,johnson [271] s,playing [264] johnson,refusing [264] refusing,attend [264] attend,television [264] television,interviews [264] interviews,many [264] many,times [264] times,someone Top Word Pairs in Tweet in G8:
[408] angela,rayner [261] jo,swinson [249] tonight,s [249] s,#c4debate [248] undoubtedly,powerful [248] powerful,moment [248] moment,tonight [248] #c4debate,panics [248] panics,button [248] button,house Top Word Pairs in Tweet in G9:
[412] #c4debate,austerity [412] austerity,exposed [412] exposed,bbc [412] bbc,tory [412] tory,collusion [412] collusion,cameron [412] cameron,ordered [412] ordered,secret [412] secret,meeting [412] meeting,bbc Top Word Pairs in Tweet in G10:
[399] support,labour [392] doctor,witnessed [392] witnessed,pain [392] pain,suffering [392] suffering,patients [392] patients,nhs [392] nhs,caused [392] caused,tory [392] tory,policies [392] policies,support Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: