The graph represents a network of 4,519 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 Wednesday, 19 February 2020 at 14:30 UTC.
The requested start date was Wednesday, 19 February 2020 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 63-day, 17-hour, 25-minute period from Friday, 13 December 2019 at 18:49 UTC to Saturday, 15 February 2020 at 12:14 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 : 4519
Unique Edges : 5181
Edges With Duplicates : 2422
Total Edges : 7603
Number of Edge Types : 4
Mentions : 1029
Replies to : 529
MentionsInRetweet : 4574
Tweet : 1471
Self-Loops : 1471
Reciprocated Vertex Pair Ratio : 0.00967937084089534
Reciprocated Edge Ratio : 0.0191731575793889
Connected Components : 983
Single-Vertex Connected Components : 503
Maximum Vertices in a Connected Component : 421
Maximum Edges in a Connected Component : 963
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.152533
Graph Density : 0.000245238710276545
Modularity : 0.675692
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,519 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 Wednesday, 19 February 2020 at 14:30 UTC.
The requested start date was Wednesday, 19 February 2020 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 63-day, 17-hour, 25-minute period from Friday, 13 December 2019 at 18:49 UTC to Saturday, 15 February 2020 at 12:14 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[445] politics,#fakes [442] need,#change [442] #change,establishment [442] establishment,politics [442] #fakes,#haters [442] #haters,#retweet [442] #retweet,youre [442] youre,#rideordie [442] #rideordie,#yanggang [441] tmibeard,need Top Word Pairs in Tweet in G1:
[144] #bags,#clothes [143] #style,#bags [143] #clothes,#fashion [143] #fashion,#shoes [143] #shoes,#love [143] #shopping,#accessories [143] #accessories,#backpack [143] #backpack,#leather [143] #leather,#clutch [143] #clutch,#bagshop Top Word Pairs in Tweet in G2:
[442] need,#change [442] #change,establishment [442] establishment,politics [442] politics,#fakes [442] #fakes,#haters [442] #haters,#retweet [442] #retweet,youre [442] youre,#rideordie [442] #rideordie,#yanggang [441] tmibeard,need Top Word Pairs in Tweet in G3:
[377] #gay,#fakes [238] #gay,#porn [230] #porn,#fakes [208] #fakes,#gayfakes [178] #gayfakes,#gayporn [160] #gayporn,#gayfakes [126] #fakes,#porn [107] #fakes,#harlequingrayfakes [102] #fakes,#gayporn [101] justin,bieber Top Word Pairs in Tweet in G4:
[186] #lamananera,santuario [186] santuario,sagrado [186] sagrado,desmentir [186] desmentir,#fakes [186] #fakes,estudiar [186] estudiar,#historia [186] #historia,chingarse [186] chingarse,#corruptos [185] kartushvalencia,#lamananera [185] #corruptos,informa Top Word Pairs in Tweet in G5:
[38] nb,croissance [38] croissance,twitter [38] twitter,environ [38] environ,par [38] par,incapable [38] incapable,d'expliquer [38] d'expliquer,telle [38] telle,différence [38] différence,certains [38] certains,ont Top Word Pairs in Tweet in G6:
[57] #jaune,#blackblocs [57] emmerdent,#fakes [57] #fakes,vont [57] vont,jaillir [57] jaillir,franceinfo [56] fort_a_propos,plus [54] plus,#grã [54] #grã,ve [54] ve,#jaune [54] #blackblocs,#mã Top Word Pairs in Tweet in G7:
[4] brandykody,realdonaldtrump [4] realdonaldtrump,same [4] same,spawn [4] spawn,#fakes [3] #frauds,#fakes [3] realdavidrush,judges [3] judges,184 [3] 184,date [3] date,enough [3] enough,overturn Top Word Pairs in Tweet in G8:
[155] #nude,#fakes [137] #fakes,#davidbillacreation [120] billad980,good [106] #fakes,#nude [85] good,night [74] #davidbillacreation,cum_land [58] #nude,#davidbillacreation [53] good,morning [52] night,darlings [48] #nude,#mkv Top Word Pairs in Tweet in G9:
[9] #weidel,#spenden [9] #spenden,#fakes [6] follower,#hetzbot [5] #fakes,#afdm8dumm [4] think,think [3] #hetzbot,#weidel [2] horizontalen,lernkurve [2] mica4711,thomasruettgers [2] thomasruettgers,tonirigatoni [2] tonirigatoni,_thomasruttgers Top Word Pairs in Tweet in G10:
[41] voy,poner [41] poner,unas [41] unas,cuantas [41] cuantas,cuentas [41] cuentas,usan [41] usan,cometido [41] cometido,difamar [41] difamar,agredir [41] agredir,cualquier [41] cualquier,tipo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: