The graph represents a network of 3,735 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, 10 August 2019 at 18:41 UTC.
The requested start date was Saturday, 10 August 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 69-day, 22-hour, 37-minute period from Saturday, 01 June 2019 at 00:42 UTC to Friday, 09 August 2019 at 23:19 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 : 3735
Unique Edges : 3758
Edges With Duplicates : 2354
Total Edges : 6112
Number of Edge Types : 3
Replies to : 529
Mentions : 4176
Tweet : 1407
Self-Loops : 1407
Reciprocated Vertex Pair Ratio : 0.00862564692351926
Reciprocated Edge Ratio : 0.0171037628278221
Connected Components : 1012
Single-Vertex Connected Components : 533
Maximum Vertices in a Connected Component : 432
Maximum Edges in a Connected Component : 1757
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.766605
Graph Density : 0.000251532822954019
Modularity : 0.609964
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[709] #gay,#fakes [290] #fakes,#harlequingrayfakes [247] #gay,#porn [226] #porn,#fakes [224] #fakes,#gayfakes [218] #gayfakes,#gayporn [177] #fakes,#porn [176] #gayporn,#gayfakes [154] #nsfw,#fakes [150] #fakes,#holypupil Top Word Pairs in Tweet in G1:
[16] don,t [14] #deep,#fakes [13] #fakes,#frauds [13] #fake,#fakes [13] buffer,overflow [13] overflow,podcast [13] podcast,host [13] host,ned [13] ned,bellavance [13] bellavance,project Top Word Pairs in Tweet in G2:
[708] #gay,#fakes [290] #fakes,#harlequingrayfakes [247] #gay,#porn [225] #porn,#fakes [224] #fakes,#gayfakes [218] #gayfakes,#gayporn [177] #fakes,#porn [176] #gayporn,#gayfakes [154] #nsfw,#fakes [150] #fakes,#holypupil Top Word Pairs in Tweet in G3:
[51] #liberal,#fakes [11] b,c [6] white,house [6] another,100k [5] life,#fakes [5] #fakes,man [4] realdonaldtrump,true [4] true,patriots [4] patriots,know [4] know,exactly Top Word Pairs in Tweet in G4:
[60] #fakes,#fraud [60] #fraud,#scams [45] flooded,#fakes [38] biggest,consumer [38] #amazon,flooded [37] #scams,amazon [33] amazon,america [33] america,s [33] consumer,fraud [32] s,biggest Top Word Pairs in Tweet in G5:
[99] buying,originals [99] originals,another [99] another,seller [99] seller,please [99] please,email [99] email,skeleton21 [99] skeleton21,com [99] com,know [99] know,actually [98] artofmmignola,buying Top Word Pairs in Tweet in G6:
[13] causing,#diseases [10] #fakemeds,#fakefood [9] #diseases,#superbugs [8] #fakefood,#fakeproducts [7] #superbugs,#antimicrobialresistance [6] arpit971,d_s_thakur [6] d_s_thakur,#regulators [6] #regulators,best [6] best,capabilities [6] capabilities,#fakemeds Top Word Pairs in Tweet in G7:
[49] comprend,mieux [49] mieux,l'infinie [49] l'infinie,sottise [49] sottise,des [49] des,insinuations [49] insinuations,mlp_officiel [49] mlp_officiel,lors [49] lors,débat [49] débat,ils [49] ils,sont Top Word Pairs in Tweet in G8:
[8] ðÿ,ðÿ [3] contra,governodobrasil [3] #fakes,contra [3] governodobrasil,e [3] criar,#fakes [2] e,#fakes [2] sempre_fogo,ggreenwald [2] ggreenwald,davidmirandario [2] davidmirandario,tem [2] tem,entender Top Word Pairs in Tweet in G9:
[2] ebizarch,wotrwokr [2] wotrwokr,securitee1 [2] securitee1,vickie627 [2] vickie627,johnbrown5900 [2] johnbrown5900,drewand1212 [2] drewand1212,bushie200 [2] bushie200,bustthegop [2] bustthegop,connors_q [2] connors_q,qhappiness17 Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: