The graph represents a network of 9,080 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 18 August 2022 at 07:16 UTC.
The requested start date was Thursday, 18 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 15-minute period from Monday, 15 August 2022 at 12:02 UTC to Wednesday, 17 August 2022 at 12:17 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 : 9080
Unique Edges : 4219
Edges With Duplicates : 12662
Total Edges : 16881
Number of Edge Types : 5
Retweet : 5730
MentionsInRetweet : 6417
Mentions : 1794
Tweet : 2506
Replies to : 434
Self-Loops : 2617
Reciprocated Vertex Pair Ratio : 0.00496752006113871
Reciprocated Edge Ratio : 0.00988593155893536
Connected Components : 2263
Single-Vertex Connected Components : 882
Maximum Vertices in a Connected Component : 1187
Maximum Edges in a Connected Component : 2581
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 7.090668
Graph Density : 9.57090793344568E-05
Modularity : 0.520069
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 9,080 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 18 August 2022 at 07:16 UTC.
The requested start date was Thursday, 18 August 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 0-hour, 15-minute period from Monday, 15 August 2022 at 12:02 UTC to Wednesday, 17 August 2022 at 12:17 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 : COVID-19
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:
[5454] covid,19 [419] contra,covid [383] naomi,wolf [383] 300,000 [377] dr,naomi [375] pfizer,documents [374] according,dr [374] wolf,runs [374] runs,crowdsourced [374] crowdsourced,project Top Word Pairs in Tweet in G1:
[860] covid,19 [54] safe,date [54] date,covid [54] 19,linda [43] 19,vaccine [41] 19,pandemic [31] contra,covid [27] lindasdatelist,safe [23] positive,covid [21] 19,cases Top Word Pairs in Tweet in G2:
[674] covid,19 [280] contra,covid [188] 19,venezuela [141] nuevos,contagios [130] lucha,contra [109] venezuela,registra [93] vtvcanal8,día [82] venezuela,registró [77] #envideo,covid [77] 19,#maduropueblotrabajador Top Word Pairs in Tweet in G3:
[257] according,dr [257] dr,naomi [257] naomi,wolf [257] wolf,runs [257] runs,crowdsourced [257] crowdsourced,project [257] project,analyze [257] analyze,300 [257] 300,000 [257] 000,pfizer Top Word Pairs in Tweet in G4:
[127] covid,19 [41] pdg,pfizer [26] testé,positif [25] contre,covid [23] dernières,données [23] données,covid [23] 19,nouvelle [23] nouvelle,écosse [23] écosse,montrent [23] montrent,84 Top Word Pairs in Tweet in G5:
[175] covid,19 [160] semanas,consecutivas [129] suma,13 [129] 13,semanas [129] consecutivas,fallecimientos [123] fallecimientos,covid [122] #cuba,suma [116] 19,logro [116] logro,nuestra [116] nuestra,ciencia Top Word Pairs in Tweet in G6:
[105] according,dr [105] dr,naomi [105] naomi,wolf [105] wolf,runs [105] runs,crowdsourced [105] crowdsourced,project [105] project,analyze [105] analyze,300 [105] 300,000 [105] 000,pfizer Top Word Pairs in Tweet in G7:
[86] covid,19 [40] #covid,19 [19] contra,covid [13] 19,venezuela [8] chine,covid [8] #coronavirus,#covid [7] #prevención,uso [7] uso,adecuado [7] adecuado,mascarilla [6] vtvcanal8,#prevención Top Word Pairs in Tweet in G8:
[66] bcgワクチン,新型コロナ予防にも効果 [66] 新型コロナ予防にも効果,米研究で判明 [50] wsjjapan,bcgワクチン [42] bcg有効説を主張する人が,殆ど陰謀論者扱いされたこともありましたねー [41] ayakomiyakawa,bcg有効説を主張する人が [7] bcg,tokyoを全員が接種している日本人は [7] tokyoを全員が接種している日本人は,既にcovid [7] 既にcovid,19も含めた感染症に対する発症予防の非特異的免疫があるので [7] 19も含めた感染症に対する発症予防の非特異的免疫があるので,やはりはじめからコロナワクチンなんて [7] やはりはじめからコロナワクチンなんて,要らなかったのでしょう Top Word Pairs in Tweet in G9:
[54] haven't,tweeted [54] tweeted,last [54] last,few [54] few,days [54] days,hospital [54] hospital,literally [54] literally,full [54] full,patients [54] patients,day [54] day,stretch Top Word Pairs in Tweet in G10:
[108] covid,19 [22] meetjess,covid [18] 19,predicted [18] predicted,boost [18] boost,global [18] global,dementia [18] dementia,rates [18] rates,concerning [18] concerning,wang [18] wang,covid Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: