The graph represents a network of 4,320 Twitter users whose tweets in the requested range contained "#fakes", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 12:05 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 46-day, 10-hour, 54-minute period from Friday, 20 September 2019 at 13:07 UTC to Wednesday, 06 November 2019 at 00:02 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 : 4320
Unique Edges : 4657
Edges With Duplicates : 2143
Total Edges : 6800
Number of Edge Types : 3
Mentions : 5291
Tweet : 1117
Replies to : 392
Self-Loops : 1117
Reciprocated Vertex Pair Ratio : 0.00699147913480446
Reciprocated Edge Ratio : 0.0138858754610545
Connected Components : 783
Single-Vertex Connected Components : 356
Maximum Vertices in a Connected Component : 522
Maximum Edges in a Connected Component : 1772
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.79673
Graph Density : 0.000247024345484637
Modularity : 0.689205
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,320 Twitter users whose tweets in the requested range contained "#fakes", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 12:05 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 46-day, 10-hour, 54-minute period from Friday, 20 September 2019 at 13:07 UTC to Wednesday, 06 November 2019 at 00:02 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 : #fakes
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 Entire Graph:
[657] #gay,#fakes [524] más,#fakes [522] #bastadenoticiasfalsas,#decididosacrecer [520] #fakes,#bastadenoticiasfalsas [519] mariapaularomo,más [304] #gayporn,#gayfakes [275] #fakes,#harlequingrayfakes [223] #gay,#porn [214] #porn,#fakes [207] #gayfakes,#gayporn Top Word Pairs in Tweet in G1:
[521] más,#fakes [521] #bastadenoticiasfalsas,#decididosacrecer [519] #fakes,#bastadenoticiasfalsas [518] mariapaularomo,más [2] #fakes,informate [2] informate,fuentes [2] fuentes,oficiales [2] oficiales,#bastadenoticiasfalsas [2] #decididosacrecer,síguenos Top Word Pairs in Tweet in G2:
[657] #gay,#fakes [303] #gayporn,#gayfakes [275] #fakes,#harlequingrayfakes [223] #gay,#porn [212] #porn,#fakes [202] #gayfakes,#gayporn [174] #fakes,#gayfakes [171] #gayfakes,#gay [166] #fakes,#nsfw [150] #celebrityfakes,#gayfakes Top Word Pairs in Tweet in G3:
[48] #fakes,#frauds [47] good,morning [46] morning,#assholes [46] #assholes,#bashers [46] #bashers,#bitches [46] #bitches,#cheaters [46] #cheaters,#cunts [46] #cunts,#dolowcats [46] #dolowcats,#fakes [46] #frauds,#haters Top Word Pairs in Tweet in G4:
[137] #npd,#narcissisticabuse [120] kelviejay,#narcissists [117] #edd,#fakes [101] #narcissism,#abuse [96] #empathydeficietdisorder,#edd [91] #abuse,#empathydeficietdisorder [91] #lies,#liars [80] #fakes,#lies [70] #narcissisticabuse,#narcissism [56] #narcissists,obsess Top Word Pairs in Tweet in G5:
[158] mythos,#antifa [158] #antifa,vielen [158] vielen,kleinen [158] kleinen,#fakes [158] #fakes,werden [158] werden,zur [158] zur,basis [158] basis,des [158] des,mythos' [158] mythos',einer Top Word Pairs in Tweet in G6:
[46] #amazon,america's [46] america's,biggest [46] biggest,consumer [43] consumer,#fraud [37] #fakes,#scams [35] #fraud,flooded [35] flooded,#counterfeits [31] #counterfeits,#fakes [21] flooded,#fakes [20] #amazon,flooded Top Word Pairs in Tweet in G7:
[133] raspan,director [133] director,inteligencia [133] inteligencia,colombia [133] colombia,unas [133] unas,fotos [133] fotos,contexto [133] duque,e [133] e,ilustrativas [132] planwac,raspan [132] contexto,segãºn Top Word Pairs in Tweet in G8:
[85] #castanerdemission,11 [85] 11,septembre [85] septembre,français [85] français,l'emballement [85] l'emballement,christophe [85] christophe,#castaner [85] #castaner,même [85] même,pas [85] pas,l'ébauche [84] loran076,#castanerdemission Top Word Pairs in Tweet in G9:
[40] twitter,facebook [40] facebook,cierran [40] cierran,359 [40] 359,perfiles [40] perfiles,pp [40] pp,utilizaban [40] utilizaban,atacar [40] atacar,psoe [40] psoe,sanchezcastejon [40] sanchezcastejon,estas Top Word Pairs in Tweet in G10:
[8] thebstravelers,cnn [8] cnn,find [8] find,#greece [8] #greece,find [8] find,#macedonia [8] #macedonia,hellenic [7] ptolemy_lagus,thebstravelers [7] hellenic,citizens [7] citizens,w [4] plastic,water Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: