The graph represents a network of 6,294 Twitter users whose tweets in the requested range contained "fake news", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 07:43 UTC.
The requested start date was Monday, 17 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 1-day, 0-hour, 28-minute period from Friday, 14 February 2020 at 11:15 UTC to Saturday, 15 February 2020 at 11:43 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 : 6294
Unique Edges : 7354
Edges With Duplicates : 461
Total Edges : 7815
Number of Edge Types : 4
MentionsInRetweet : 5095
Tweet : 660
Replies to : 810
Mentions : 1250
Self-Loops : 660
Reciprocated Vertex Pair Ratio : 0.00303117782909931
Reciprocated Edge Ratio : 0.00604403511296589
Connected Components : 870
Single-Vertex Connected Components : 182
Maximum Vertices in a Connected Component : 1857
Maximum Edges in a Connected Component : 2581
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.516657
Graph Density : 0.000175443725686502
Modularity : 0.878725
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 6,294 Twitter users whose tweets in the requested range contained "fake news", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 07:43 UTC.
The requested start date was Monday, 17 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 1-day, 0-hour, 28-minute period from Friday, 14 February 2020 at 11:15 UTC to Saturday, 15 February 2020 at 11:43 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 : fake news
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:
[3356] fake,news [409] spreading,fake [312] supporting,asim [311] asim,manveer [311] manveer,supporting [311] supporting,sid [311] sid,news [311] news,totally [311] totally,false [311] false,audience Top Word Pairs in Tweet in G1:
[277] supporting,asim [277] asim,manveer [277] manveer,supporting [277] supporting,sid [277] sid,news [277] news,totally [277] totally,false [277] false,audience [276] anoop___gurjar,supporting [241] fake,news Top Word Pairs in Tweet in G2:
[124] fake,news [95] impressão,minha [95] minha,ex [95] ex,namorado [95] namorado,fátima [95] fátima,bernardes [95] bernardes,ameaça [95] ameaça,morte [95] morte,testemunha [95] testemunha,dentro Top Word Pairs in Tweet in G3:
[128] fake,news [106] trust,kind [103] keep,voting [91] hushhh,tired [91] tired,going [91] going,take [91] take,tea [91] tea,coffee [91] coffee,few [91] few,min Top Word Pairs in Tweet in G4:
[87] fake,news [82] news,#asimriaz [82] #asimriaz,took [82] took,briefcase [82] briefcase,left [82] left,completely [82] completely,fake [82] fake,done [82] done,prs [82] prs,nothing Top Word Pairs in Tweet in G5:
[199] fake,news [45] spreading,fake [22] news,rashmi [18] shooting,started [17] #bb13,#biggbossfinale [17] #biggbossfinale,shooting [17] started,news [17] rashmi,eviction [17] eviction,false [17] false,normal Top Word Pairs in Tweet in G6:
[180] fake,news [104] spreading,fake [97] saying,many [97] many,handles [97] handles,pm [97] pm,follows [97] follows,taking [97] taking,lead [97] lead,spreading [97] news,abuse Top Word Pairs in Tweet in G7:
[140] fake,news [36] news,media [24] realdonaldtrump,fake [24] cnn,fake [17] news,cnn [15] ex,cnn [15] fake,#michaelavenatti [15] #michaelavenatti,guilty [15] guilty,extorting [15] extorting,nike Top Word Pairs in Tweet in G8:
[155] fake,news [4] vote,vote [4] news,fake [3] ng,fake [3] disease,outbreaks [3] news,spreading [3] sid,ko [3] cpi,fake [2] news,makes [2] makes,disease Top Word Pairs in Tweet in G9:
[112] fake,news [46] jornalista,folha [44] deixou,campanha [44] campanha,difamação [44] difamação,contra [44] contra,jornalista [44] folha,espalhar [34] twitter,deixou [34] cpmi,fake [33] demori,twitter Top Word Pairs in Tweet in G10:
[46] fake,news [24] dear,chennaipolice_ [21] sir,kindly [21] kindly,know [21] know,photo [21] photo,right [21] right,many [21] many,commented [21] commented,photo [20] sumanthraman,sir 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 G4:
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: