The graph represents a network of 1 071 Twitter users whose recent tweets contained "John Bercow", 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 Saturday, 19 June 2021 at 18:24 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 30-minute period from Friday, 11 June 2021 at 14:51 UTC to Saturday, 19 June 2021 at 18:22 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 : 1071
Unique Edges : 1799
Edges With Duplicates : 161
Total Edges : 1960
Number of Edge Types : 5
Tweet : 295
Retweet : 511
Mentions : 177
Replies to : 167
MentionsInRetweet : 810
Self-Loops : 300
Reciprocated Vertex Pair Ratio : 0,016497461928934
Reciprocated Edge Ratio : 0,0324594257178527
Connected Components : 320
Single-Vertex Connected Components : 189
Maximum Vertices in a Connected Component : 416
Maximum Edges in a Connected Component : 1294
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4,99489
Graph Density : 0,0013979423545119
Modularity : 0,695224
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1 071 Twitter users whose recent tweets contained "John Bercow", 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 Saturday, 19 June 2021 at 18:24 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 30-minute period from Friday, 11 June 2021 at 14:51 UTC to Saturday, 19 June 2021 at 18:22 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 : John Bercow
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 Color : Out-Degree
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[839] john,bercow [148] jeremy,corbyn [129] for,a [125] threats,to [118] jailed,for [116] to,labour [114] bercow,defects [114] defects,to [112] labour,with [112] with,withering Top Word Pairs in Tweet in G1:
[166] john,bercow [69] to,labour [67] bercow,defects [67] defects,to [67] labour,with [67] with,withering [67] withering,attack [66] attack,johnson [22] that,john [16] of,the Top Word Pairs in Tweet in G2:
[92] john,bercow [71] kimsj,jneill [71] jneill,cocoonedpenguin [71] cocoonedpenguin,vesperuk [71] vesperuk,eyejosh [71] eyejosh,susanchubb1 [71] susanchubb1,jcm247 [70] the,record [69] looks,like [69] like,commonsspeaker Top Word Pairs in Tweet in G3:
[77] so,much [77] much,rage [77] rage,amp [77] amp,hate [77] hate,was [77] was,intentionally [77] intentionally,stirred [77] stirred,up [77] up,to [77] to,bring Top Word Pairs in Tweet in G4:
[53] john,bercow [42] as,soon [42] soon,as [42] as,john [42] bercow,started [42] started,exposing [42] exposing,the [42] the,truth [42] truth,had [42] had,to Top Word Pairs in Tweet in G5:
[41] john,bercow [36] in,the [34] cameron,clegg [34] clegg,corbyn [34] corbyn,and [34] and,yes [34] yes,swinson [34] swinson,we [34] we,re [34] re,in Top Word Pairs in Tweet in G6:
[29] john,bercow [25] businessman,jailed [25] jailed,for [25] for,a [25] a,year [25] year,over [25] over,vile [25] vile,threats [25] threats,to [25] to,mps Top Word Pairs in Tweet in G7:
[28] john,bercow [24] bercow,defects [24] defects,to [24] to,labour [24] labour,with [24] with,withering [24] withering,attack [24] attack,johnson [3] bercow,joins [3] joins,labour Top Word Pairs in Tweet in G8:
[48] says,is [48] to,be [25] john,bercow [24] dk,says [24] is,only [24] only,apologising [24] apologising,because [24] because,if [24] if,i [24] i,don Top Word Pairs in Tweet in G9:
[24] john,bercow [11] argyleloz,how [11] how,i [11] i,miss [11] miss,john [10] we,have [9] dminghella,i'm [9] i'm,not [9] not,sure [9] sure,hoyle Top Word Pairs in Tweet in G10:
[21] there's,no [21] no,point [21] point,in [21] in,worrying [21] worrying,about [21] about,things [21] things,you [21] you,can't [21] can't,influence [21] influence,john Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
Top Mentioned in G5:
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: