The graph represents a network of 8,425 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 March 2022 at 09:03 UTC.
The requested start date was Friday, 25 March 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, 35-minute period from Tuesday, 22 March 2022 at 11:50 UTC to Thursday, 24 March 2022 at 12:25 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 : 8425
Unique Edges : 3887
Edges With Duplicates : 11278
Total Edges : 15165
Number of Edge Types : 5
Retweet : 4996
MentionsInRetweet : 5527
Tweet : 2833
Replies to : 458
Mentions : 1351
Self-Loops : 2948
Reciprocated Vertex Pair Ratio : 0.00608489165924607
Reciprocated Edge Ratio : 0.0120961793774893
Connected Components : 2400
Single-Vertex Connected Components : 1213
Maximum Vertices in a Connected Component : 1500
Maximum Edges in a Connected Component : 3247
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.41933
Graph Density : 9.55162725686959E-05
Modularity : 0.509875
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,425 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 March 2022 at 09:03 UTC.
The requested start date was Friday, 25 March 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, 35-minute period from Tuesday, 22 March 2022 at 11:50 UTC to Thursday, 24 March 2022 at 12:25 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 : Coronavirus
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:
[994] covid,19 [306] datos,coronavirus [305] partir,lunes [303] lunes,tendremos [303] tendremos,datos [303] coronavirus,españa [303] españa,habrá [303] habrá,notificar [303] notificar,positivos [302] enfrmrasaturada,partir Top Word Pairs in Tweet in G1:
[181] covid,19 [76] 2020,international [76] international,olympic [76] olympic,committee [76] committee,announced [76] announced,summer [76] summer,olympics [76] olympics,tokyo [76] tokyo,postponed [76] postponed,until Top Word Pairs in Tweet in G2:
[303] partir,lunes [303] lunes,tendremos [303] tendremos,datos [303] datos,coronavirus [303] coronavirus,españa [303] españa,habrá [303] habrá,notificar [303] notificar,positivos [302] enfrmrasaturada,partir Top Word Pairs in Tweet in G3:
[197] coronavirus,cases [197] last,week [135] cases,increase [132] york,state [132] state,reports [132] reports,875 [132] 875,coronavirus [132] increase,87 [132] 87,last [131] bnodesk,york Top Word Pairs in Tweet in G4:
[87] spanien,behandelt [87] behandelt,corona [87] corona,normale [87] normale,krankheit [87] krankheit,positiven [87] positiven,test [87] test,niemand [87] niemand,mehr [87] mehr,hause [87] hause,bleiben Top Word Pairs in Tweet in G5:
[62] coronavirus,vaccine [42] covid,19 [37] people,covid [37] 19,infection [37] infection,greater [37] greater,risk [37] risk,developing [37] developing,type [37] type,diabetes [37] diabetes,within Top Word Pairs in Tweet in G6:
[104] federal,coronavirus [73] relief,money [72] make,sick [72] sick,#covid [72] #covid,funding [72] funding,went [72] went,spent [72] spent,million [72] million,federal [72] coronavirus,relief Top Word Pairs in Tweet in G7:
[94] today,day [94] day,worldometers [94] worldometers,register [94] register,million [94] million,covid [94] covid,19 [94] 19,deaths [94] deaths,united [94] united,states [93] kagrox,today Top Word Pairs in Tweet in G8:
[97] coronavirus,vaccine [86] news,moderna [78] seek,emergency [78] emergency,authorization [78] authorization,coronavirus [78] vaccine,children [78] children,younger [75] breaking,news [75] moderna,seek [75] younger,company Top Word Pairs in Tweet in G9:
[93] two,thirds [93] thirds,debt [93] debt,2019 [93] 2019,20 [93] 20,budget [93] budget,accrued [93] accrued,before [93] before,pandemic [93] pandemic,#qanda [93] #qanda,#factcheck Top Word Pairs in Tweet in G10:
[65] コロナ感染の死者数,直近1週間の人口あたり死者 [65] 直近1週間の人口あたり死者,は現時点 [65] は現時点,3月23日現在 [65] 3月23日現在,で京都が全国ワースト1位でしかも飛び抜けて多い [65] で京都が全国ワースト1位でしかも飛び抜けて多い,#京都府知事選挙 [65] #京都府知事選挙,で [65] で,#かじかわ憲 [65] #かじかわ憲,知事を実現し保健所拡充等によって住民の命と健康を守り抜く京都にしたい [64] inoueshin0,コロナ感染の死者数 [64] 知事を実現し保健所拡充等によって住民の命と健康を守り抜く京都にしたい,#かじかわさんで Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: