The graph represents a network of 19,437 Twitter users whose recent tweets contained "disinformation", 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 Friday, 31 July 2020 at 16:17 UTC.
The tweets in the network were tweeted over the 19-hour, 58-minute period from Thursday, 30 July 2020 at 19:24 UTC to Friday, 31 July 2020 at 15:23 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 : 19437
Unique Edges : 25066
Edges With Duplicates : 2696
Total Edges : 27762
Number of Edge Types : 5
Retweet : 14531
MentionsInRetweet : 4812
Mentions : 3779
Tweet : 1594
Replies to : 3046
Self-Loops : 1700
Reciprocated Vertex Pair Ratio : 0.00498641910244456
Reciprocated Edge Ratio : 0.00992335619201291
Connected Components : 1671
Single-Vertex Connected Components : 674
Maximum Vertices in a Connected Component : 15040
Maximum Edges in a Connected Component : 22903
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.205015
Graph Density : 6.56206309273046E-05
Modularity : 0.845145
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 19,437 Twitter users whose recent tweets contained "disinformation", 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 Friday, 31 July 2020 at 16:17 UTC.
The tweets in the network were tweeted over the 19-hour, 58-minute period from Thursday, 30 July 2020 at 19:24 UTC to Friday, 31 July 2020 at 15:23 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 : disinformation
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:
[5378] yale,epidemiologist [4953] epidemiologist,dr [4606] dr,fauci [4593] against,hydroxychloroquine [4538] fauci,running [4339] hydroxychloroquine,news [3315] campaign,against [3292] misinformation,campaign [2902] running,misinformation [2051] running,'misinformation Top Word Pairs in Tweet in G1:
[2708] yale,epidemiologist [2693] epidemiologist,dr [2693] dr,fauci [2693] fauci,running [2693] against,hydroxychloroquine [2691] hydroxychloroquine,news [2669] running,misinformation [2669] misinformation,campaign [2669] campaign,against [24] running,'misinformation Top Word Pairs in Tweet in G2:
[55] spreading,disinformation [52] disinformation,campaign [47] spread,disinformation [44] covid,19 [41] #covid19,disinformation [39] dr,fauci [38] lies,disinformation [38] realdonaldtrump,dropped [38] dropped,pants [38] pants,defecated Top Word Pairs in Tweet in G3:
[412] bad,information [397] election,disinformation [391] distract,economy [391] economy,calling [391] calling,delay [391] delay,election [391] disinformation,distract [391] distract,really [391] really,bad [305] headed,election Top Word Pairs in Tweet in G4:
[44] disinformation,campaign [43] against,hydroxychloroquine [43] dr,fauci [42] yale,epidemiologist [40] epidemiologist,dr [40] fauci,running [39] running,'misinformation [39] 'misinformation,campaign' [39] campaign',against [39] covid,disinformation Top Word Pairs in Tweet in G5:
[575] social,media [575] former,kgb [574] disinformation,tactics [573] kgb,spy [573] spy,spent [573] spent,years [573] years,undercover [573] undercover,talks [573] talks,russia's [573] russia's,disinformation Top Word Pairs in Tweet in G6:
[484] election,interference [466] disinformation,attempted [466] attempted,election [465] breaking,news [465] tweet,disinformation [312] election,day [307] news,donald [307] donald,trump [307] trump,pinned [307] pinned,tweet Top Word Pairs in Tweet in G7:
[574] yale,epidemiologist [432] epidemiologist,dr [386] running,'misinformation [386] 'misinformation,campaign' [386] campaign',against [343] dr,#fauci [343] #fauci,running [342] ask,yourself [342] yourself,one [342] one,md Top Word Pairs in Tweet in G8:
[529] yale,epidemiologist [522] epidemiologist,dr [514] against,hydroxychloroquine [511] dr,fauci [511] fauci,running [483] running,'misinformation [483] 'misinformation,campaign' [483] campaign',against [478] hydroxychloroquine,news [438] news,#themoreyouknow Top Word Pairs in Tweet in G9:
[63] cowardly,take [63] take,prof [63] prof,risch's [63] risch's,promotion [63] promotion,dangerous [63] dangerous,#covid19 [63] #covid19,disinformation [63] disinformation,scientific [63] scientific,disagreement [63] disagreement,outright Top Word Pairs in Tweet in G10:
[110] kyledcheney,biden [110] biden,wise [110] wise,ahead [110] ahead,make [110] make,ad [110] ad,calling [110] calling,nunes [110] nunes,inform [110] inform,country [110] country,prepared Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
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: