The graph represents a network of 17,415 Twitter users whose recent tweets contained "SARS", 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 Thursday, 22 October 2020 at 07:48 UTC.
The tweets in the network were tweeted over the 3-hour, 4-minute period from Thursday, 22 October 2020 at 03:28 UTC to Thursday, 22 October 2020 at 06:33 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 : 17415
Unique Edges : 21213
Edges With Duplicates : 2383
Total Edges : 23596
Number of Edge Types : 5
Retweet : 15669
Tweet : 2518
Replies to : 1652
MentionsInRetweet : 1723
Mentions : 2034
Self-Loops : 2561
Reciprocated Vertex Pair Ratio : 0.00315489007962342
Reciprocated Edge Ratio : 0.00628993610223642
Connected Components : 1863
Single-Vertex Connected Components : 741
Maximum Vertices in a Connected Component : 12481
Maximum Edges in a Connected Component : 18187
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.304018
Graph Density : 6.60544822196812E-05
Modularity : 0.789175
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 17,415 Twitter users whose recent tweets contained "SARS", 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 Thursday, 22 October 2020 at 07:48 UTC.
The tweets in the network were tweeted over the 3-hour, 4-minute period from Thursday, 22 October 2020 at 03:28 UTC to Thursday, 22 October 2020 at 06:33 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 : SARS
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3136] end,sars [1877] police,brutality [934] sars,cov [931] bail,medical [923] sars,2020 [921] arrested,sars [917] asked,pay [915] naankang,andrew [915] andrew,plateau [915] plateau,state Top Word Pairs in Tweet in G1:
[205] end,sars [70] lekki,toll [63] area,please [63] fkabudu,adetolaov [63] adetolaov,sars_watch [62] please,hasn [62] hasn,heard [62] heard,seen [62] seen,yesterday [62] yesterday,morning Top Word Pairs in Tweet in G2:
[469] #endsars,thoughts [469] thoughts,prayers [469] prayers,people [469] people,nigeria [469] nigeria,help [252] police,brutality [215] nigerian,military [215] military,killed [215] killed,reported [215] reported,15 Top Word Pairs in Tweet in G3:
[808] arrested,sars [807] naankang,andrew [807] andrew,plateau [807] plateau,state [807] state,arrested [807] sars,2020 [807] 2020,abuja [807] abuja,shot [807] shot,leg [807] leg,denied Top Word Pairs in Tweet in G4:
[388] black,lives [236] end,sars [220] #endsars,#endsarsnow [216] people,nigeria [213] special,anti [213] anti,robbery [213] robbery,squad [213] nigerian,police [212] movement,black [212] lives,stands Top Word Pairs in Tweet in G5:
[158] end,sars [145] sars,cov [44] police,brutality [35] covid,19 [20] against,sars [20] #endsars,#endsars [19] #end,sars [17] robbery,squad [17] #sarscov2,#covid19 [16] special,anti Top Word Pairs in Tweet in G6:
[366] govt,control [187] see,ehn [186] tackle,sars [186] sars,face [186] face,illiteracy [186] illiteracy,photos [186] photos,flipped [184] sars,disbanded [183] ehn,govt [183] control,anything Top Word Pairs in Tweet in G7:
[150] end,sars [106] anti,robbery [104] special,anti [104] robbery,squad [94] police,unit [86] nnamdi,kanu [81] covid,19 [80] james,nwafor [77] police,brutality [77] awkuzu,ex Top Word Pairs in Tweet in G8:
[491] police,brutality [432] nigerian,forces [432] forces,reportedly [432] reportedly,opened [432] opened,fire [432] fire,protesters [432] protesters,lagos [419] 12,people [419] people,killed [419] amnesty,international Top Word Pairs in Tweet in G9:
[581] end,sars [146] tells,buhari [144] sars,failure [144] failure,wizkid [144] wizkid,tells [144] buhari,osinbajo [144] osinbajo,igp [144] igp,resign [129] warns,buhari [121] nnamdi,kanu Top Word Pairs in Tweet in G10:
[379] sars,brutality [378] #endsars,represent [378] represent,victims [378] victims,sars [378] brutality,nba [38] end,sars [20] yungasmallaz,ericjoyce [20] ericjoyce,aishambuhari [17] blaqjay12,yungasmallaz [13] tsddrake,thing Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
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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 G4:
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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: