The graph represents a network of 6,428 Twitter users whose recent tweets contained "#mediascum", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 27 May 2020 at 10:24 UTC.
The tweets in the network were tweeted over the 4-hour, 21-minute period from Wednesday, 27 May 2020 at 06:00 UTC to Wednesday, 27 May 2020 at 10:21 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.
Vertices : 6428
Unique Edges : 15055
Edges With Duplicates : 2725
Total Edges : 17780
Number of Edge Types : 5
Retweet : 7901
MentionsInRetweet : 4739
Tweet : 846
Replies to : 2613
Mentions : 1681
Self-Loops : 887
Reciprocated Vertex Pair Ratio : 0.00277437254016388
Reciprocated Edge Ratio : 0.00553339338566465
Connected Components : 250
Single-Vertex Connected Components : 163
Maximum Vertices in a Connected Component : 6014
Maximum Edges in a Connected Component : 17336
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.737451
Graph Density : 0.00037620341765628
Modularity : 0.551556
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 6,428 Twitter users whose recent tweets contained "#mediascum", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Wednesday, 27 May 2020 at 10:24 UTC.
The tweets in the network were tweeted over the 4-hour, 21-minute period from Wednesday, 27 May 2020 at 06:00 UTC to Wednesday, 27 May 2020 at 10:21 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 : #mediascum
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
Top Domains
Top Word Pairs in Tweet in G2:
[681] #mediawitchhunt,#mediascum [393] back,#scummedia [122] great,stuff [99] stuff,#dc [98] #dc,using [80] using,himself [77] himself,mirror [76] mirror,reflecting [75] reflecting,back [74] #scummedia,exactly Top Word Pairs in Tweet in G3:
[462] license,fee [192] brexit,license [191] now,witnessing [191] witnessing,full [191] full,declaration [191] declaration,war [191] war,government [191] government,bbc [191] bbc,brexit [191] fee,know Top Word Pairs in Tweet in G4:
[219] suzanne,evans [214] want,see [213] nightmare,cummings [213] cummings,street [213] street,interview [213] interview,gmb [213] gmb,want [213] see,again [213] again,suzanne [213] evans,nails Top Word Pairs in Tweet in G5:
[354] stop,brexit [294] against,cummings [293] take,down [293] down,#dominiccummings [293] #dominiccummings,stop [293] brexit,crucial [293] crucial,moment [293] moment,unholy [293] unholy,alliance [293] alliance,between Top Word Pairs in Tweet in G6:
[478] dominic,cummings [476] don,t [394] robin,lees [394] lees,dominic [394] cummings,eye [394] eye,witness [394] witness,retired [394] retired,schoolteacher [394] schoolteacher,crying [394] crying,publicity Top Word Pairs in Tweet in G7:
[176] #mediascum,#mediawitchhunt [164] campbellclaret,emilythornberry [162] emilythornberry,bbcbreaking [162] bbcbreaking,skynews [162] skynews,factcheck [162] factcheck,bbcworldservice [162] bbcworldservice,10downingstreet [162] rip,msm [162] msm,#covid__19 [162] #covid__19,#dominiccummnings Top Word Pairs in Tweet in G8:
[228] #mediascum,attacking [226] #mediascum,#brexit [226] ahh,when's [226] when's,mr [226] mr,cummings [226] cummings,going [226] going,quit [223] quit,sacked [223] sacked,looking [223] looking,forward Top Word Pairs in Tweet in G9:
[87] #scummedia,#mediascum [83] #mediascum,#scummedia [63] #mediawitchhunt,#mediascum [63] #defundthebbc,#mediascum [63] #mediascum,trending [63] right,wing [63] #mediascum,tag [63] #mediascum,still [63] keep,going [63] #mediascum,#scumedia Top Word Pairs in Tweet in G10:
[18] #scummedia,#mediascum [11] great,impartial [8] impartial,british [4] british,media [3] media,acting [3] acting,opposition [2] opposition,hyenas [2] hyenas,#mediascum [2] #mediascum,#scumedia [2] #mediascum,#scummedia Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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