The graph represents a network of 12,585 Twitter users whose recent tweets contained "#voterfraud", 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 Tuesday, 27 October 2020 at 19:11 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 37-minute period from Sunday, 18 October 2020 at 13:03 UTC to Tuesday, 27 October 2020 at 16:41 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 : 12585
Unique Edges : 21364
Edges With Duplicates : 5496
Total Edges : 26860
Number of Edge Types : 5
Tweet : 2785
Mentions : 3638
Replies to : 1590
Retweet : 9596
MentionsInRetweet : 9251
Self-Loops : 2898
Reciprocated Vertex Pair Ratio : 0.00265541277443217
Reciprocated Edge Ratio : 0.00529676046346654
Connected Components : 1830
Single-Vertex Connected Components : 1455
Maximum Vertices in a Connected Component : 10008
Maximum Edges in a Connected Component : 23930
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.820135
Graph Density : 0.000133516752327024
Modularity : 0.597999
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 12,585 Twitter users whose recent tweets contained "#voterfraud", 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 Tuesday, 27 October 2020 at 19:11 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 37-minute period from Sunday, 18 October 2020 at 13:03 UTC to Tuesday, 27 October 2020 at 16:41 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 : #voterfraud
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:
[2377] supreme,court [2370] voter,registration [2351] federal,election [2342] state,voter [2337] dear,jack [2337] jack,company [2337] company,censoring [2337] censoring,smearing [2337] smearing,#voterfraud [2337] #voterfraud,tweets Top Word Pairs in Tweet in G1:
[2165] dear,jack [2165] jack,company [2165] company,censoring [2165] censoring,smearing [2165] smearing,#voterfraud [2165] #voterfraud,tweets [2165] tweets,reference [2165] reference,baker [2165] baker,carter [2165] carter,commission Top Word Pairs in Tweet in G2:
[1023] voting,rolls [723] dirty,voting [676] extra,names [675] million,extra [674] rolls,29 [674] 29,states [674] judicialwatch,study [674] tip,iceberg [596] vote,mail [500] ballots,dirty Top Word Pairs in Tweet in G3:
[148] voter,fraud [52] #voterfraud,#voterfraudisreal [36] heatmap,column [36] column,gt [34] #votersuppression,#voterfraud [31] #voterfraud,#votersuppression [29] #voterfraud,#mailinballotfraud [28] futuredanger,indicator [28] indicator,elections [28] elections,stolen Top Word Pairs in Tweet in G4:
[119] voter,fraud [98] #voterfraud,organization [88] american,politics [76] joebiden,admits [65] #voterfraud,realdonaldtrump [62] admits,creating [62] largest,#voterfraud [60] wait,facebook [60] facebook,advertising [60] advertising,platforms Top Word Pairs in Tweet in G5:
[491] voter,fraud [461] 2020,election [460] fraud,watch [460] watch,houston [460] houston,precinct [460] precinct,judge [460] judge,staff [460] staff,used [460] used,stack [460] stack,driver Top Word Pairs in Tweet in G6:
[28] voter,fraud [13] ellenlweintraub,govmikehuckabee [13] govmikehuckabee,#voterfraud [11] govmikehuckabee,fbi [9] federal,crime [9] fbi,#voterfraud [8] #voterfraud,gop [7] govmikehuckabee,well [7] #checkadtech,#disinfo [6] electoral,success Top Word Pairs in Tweet in G7:
[301] joe,#biden [301] #biden,spricht [301] spricht,offen [301] offen,#wahlbetrug [301] #wahlbetrug,stolz [301] stolz,darauf [301] darauf,die [301] die,umfassendste [301] umfassendste,wahlbetrugs [301] wahlbetrugs,organisation Top Word Pairs in Tweet in G8:
[640] #riggedelection,#fraudulentelection [640] #fraudulentelection,#southkorea [630] #postalvote,#mailballot [625] #voterfraudisreal,#voterfraud [618] #voterfraud,#postalvote [605] #southkorea,#voterfraudisreal [595] #부정선거,#블랙운동 [584] #우편투표,#부정선거 [463] #블랙운동,#블랙시위 [424] #국투본,#우편투표 Top Word Pairs in Tweet in G9:
[60] #voterfraud,potus [47] potus,realdonaldtrump [42] qanon,accounts [40] vote,person [29] hello,#california [29] #california,parents [29] parents,both [29] both,registered [29] registered,vote [29] person,received Top Word Pairs in Tweet in G10:
[74] big,tech [72] voter,fraud [69] charliekirk11,locked [69] locked,twitter [67] twitter,account [67] account,speaking [67] speaking,credible [67] credible,threat [67] threat,voter [67] fraud,big Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: