The graph represents a network of 15,045 Twitter users whose recent tweets contained "Kenosha", 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 Monday, 19 April 2021 at 18:38 UTC.
The tweets in the network were tweeted over the 18-hour, 44-minute period from Sunday, 18 April 2021 at 23:21 UTC to Monday, 19 April 2021 at 18:06 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 : 15045
Unique Edges : 21017
Edges With Duplicates : 5810
Total Edges : 26827
Number of Edge Types : 5
Tweet : 1268
Retweet : 15307
Replies to : 1974
MentionsInRetweet : 2545
Mentions : 5733
Self-Loops : 1305
Reciprocated Vertex Pair Ratio : 0.0100857048155689
Reciprocated Edge Ratio : 0.0199699981248828
Connected Components : 977
Single-Vertex Connected Components : 543
Maximum Vertices in a Connected Component : 12693
Maximum Edges in a Connected Component : 24408
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.550259
Graph Density : 9.42488496577095E-05
Modularity : 0.67438
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 15,045 Twitter users whose recent tweets contained "Kenosha", 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 Monday, 19 April 2021 at 18:38 UTC.
The tweets in the network were tweeted over the 18-hour, 44-minute period from Sunday, 18 April 2021 at 23:21 UTC to Monday, 19 April 2021 at 18:06 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 : Kenosha
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:
[9974] mass,shootings [3836] austin,shreveport [2875] mass,shooting [2702] kenosha,austin [2301] austin,tx [2281] shootings,last [2227] kenosha,wi [2035] kenosha,wisconsin [2016] kenosha,columbus [1719] indianapolis,kenosha Top Word Pairs in Tweet in G1:
[1620] mass,shootings [1429] shootings,last [862] austin,shreveport [859] shreveport,kenosha [859] kenosha,columbus [859] columbus,laplace [859] laplace,detroit [857] last,48 [857] 48,hours [856] detroit,mass Top Word Pairs in Tweet in G2:
[1156] kenosha_sheriff,fox6now [1120] samkraemertv,kenosha_sheriff [496] person,interest [485] interest,located [388] threat,community [340] community,time [334] kenosha,shooting [334] criminally,charged [332] located,criminally [331] shooting,kenosha_sheriff Top Word Pairs in Tweet in G3:
[1441] austin,shreveport [1382] mass,shootings [1205] indianapolis,kenosha [1204] don,tweet [1204] tweet,ton [1204] ton,weekends [1204] weekends,ve [1204] ve,mass [1204] shootings,indianapolis [1204] kenosha,austin Top Word Pairs in Tweet in G4:
[1195] mass,shootings [1073] mass,shooting [952] one,day [943] america,sunday [943] kenosha,wi [942] columbus,oh [942] austin,tx [942] laplace,shreveport [941] shootings,america [941] sunday,five Top Word Pairs in Tweet in G5:
[1090] mass,shootings [782] shootings,today [758] kenosha,wisconsin [729] austin,texas [729] texas,kenosha [729] wisconsin,shreveport [729] shreveport,louisiana [728] louisiana,three [728] three,mass [725] today,three Top Word Pairs in Tweet in G6:
[648] mass,shootings [548] shootings,kenosha [495] kenosha,austin [448] austin,tx [440] pandemic,lockdowns [440] lockdowns,daily [440] daily,back [440] back,back [440] back,mass [440] tx,obscene Top Word Pairs in Tweet in G7:
[762] mass,shootings [456] austin,shreveport [317] austin,kenosha [279] kenosha,austin [258] kenosha,columbus [207] shootings,today [199] kenosha,shreveport [198] fuck,nra [174] today,kenosha [172] many,mass Top Word Pairs in Tweet in G8:
[1148] mass,shootings [559] shootings,killed [559] killed,people [559] people,sunday [559] sunday,kenosha [559] kenosha,killed [559] killed,wounded [559] wounded,shreveport [559] shreveport,wounded [559] wounded,austin Top Word Pairs in Tweet in G9:
[105] kenosha,wisconsin [90] shooting,kenosha [63] kyle,rittenhouse [47] kenosha,wi [47] mass,shootings [40] kenosha,county [39] jacob,blake [37] bar,shooting [36] person,interest [28] wisconsin,shooting Top Word Pairs in Tweet in G10:
[179] others,injured [157] shooting,kenosha [138] three,people [115] left,three [115] dead,three [115] three,others [114] kenosha,wisconsin [113] wisconsin,left [77] kenosha,county [71] people,killed Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
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Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: