The graph represents a network of 5,769 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 July 2020 at 08:46 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 16-hour, 24-minute period from Tuesday, 28 July 2020 at 20:02 UTC to Thursday, 30 July 2020 at 12:27 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 : 5769
Unique Edges : 3509
Edges With Duplicates : 7860
Total Edges : 11369
Number of Edge Types : 5
Mentions : 1441
Retweet : 3344
MentionsInRetweet : 4804
Tweet : 1114
Replies to : 666
Self-Loops : 1134
Reciprocated Vertex Pair Ratio : 0.00562881955612737
Reciprocated Edge Ratio : 0.011194626579242
Connected Components : 1029
Single-Vertex Connected Components : 392
Maximum Vertices in a Connected Component : 2246
Maximum Edges in a Connected Component : 6091
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.01596
Graph Density : 0.000187915514771307
Modularity : 0.555475
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,769 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 July 2020 at 08:46 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 16-hour, 24-minute period from Tuesday, 28 July 2020 at 20:02 UTC to Thursday, 30 July 2020 at 12:27 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 : NCoV
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:
[587] covid,19 [462] cloth,face [402] spread,#covid19 [388] cataluña,muerto [358] prevent,spread [340] help,prevent [339] face,coverings [323] wear,face [276] coverings,help [276] public,settings Top Word Pairs in Tweet in G1:
[406] cloth,face [366] spread,#covid19 [330] prevent,spread [307] help,prevent [295] face,coverings [295] wear,face [262] coverings,help [260] public,settings [257] cdcgov,cloth [257] #covid19,widely Top Word Pairs in Tweet in G2:
[120] covid,19 [55] 2019,ncov [25] nhiễm,ncov [17] learn,more [16] coronavirus,2019 [16] wear,face [15] đà,nẵng [13] cloth,face [12] social,distancing [12] spread,easily Top Word Pairs in Tweet in G3:
[197] #新型コロナウイルス,感染症情報 [197] 詳しくは,県ホームページでご確認ください [195] ibaraki_kouhou,#新型コロナウイルス [183] 感染症情報,7月29日 [183] 7月29日,本日 [183] 本日,県内で新たに7名の新型コロナウイルス感染症患者が確認されました [183] 県内で新たに7名の新型コロナウイルス感染症患者が確認されました,これまで県内で感染が確認された人は266名となります [183] これまで県内で感染が確認された人は266名となります,詳しくは [182] 県ホームページでご確認ください,#いばらきアマビ [15] 県ホームページでご確認ください,#いばらきアマビエちゃん Top Word Pairs in Tweet in G4:
[384] cataluña,muerto [193] personas,última [193] última,semana [193] semana,boletín [192] muerto,personas [192] boletín,ministerio [192] ministerio,cataluña [192] muerto,38 [191] pmarsupia,cataluña Top Word Pairs in Tweet in G5:
[77] síntomas,#covid19 [76] datos,#covid19 [76] #covid19,españa [73] tienes,síntomas [73] #covid19,debes [73] debes,separarte [73] separarte,resto [73] resto,familia [73] familia,convivientes [73] convivientes,habitación Top Word Pairs in Tweet in G6:
[61] preliminary,investigations [61] investigations,conducted [61] conducted,chinese [61] chinese,authorities [61] authorities,found [61] found,clear [61] clear,evidence [61] evidence,human [61] human,human [61] human,transmission Top Word Pairs in Tweet in G7:
[150] kylamb8,cdc [105] cdc,recognizes [105] recognizes,truth [105] truth,testing [105] testing,justin_hart [105] justin_hart,aginnt [105] aginnt,kerpen [105] kerpen,jordanschachtel [105] jordanschachtel,alexberenson [105] alexberenson,rmconservative Top Word Pairs in Tweet in G8:
[9] sars,cov [7] covid,19 [6] 2019,ncov [6] realdonaldtrump,dbongino [6] dclemdeborah,wardqnormal [6] wardqnormal,jakesherman [5] nih,22 [5] 22,2005 [5] 2005,chloroquine [5] chloroquine,potent Top Word Pairs in Tweet in G9:
[96] spain,unfair [96] unfair,slap [96] slap,nationwide [96] nationwide,quarantine [96] quarantine,country [96] country,regional [96] regional,variations [95] pickardje,spain Top Word Pairs in Tweet in G10:
[81] 千葉県hpより,という事なので大変心苦しいですが [81] という事なので大変心苦しいですが,今後 [81] 今後,団体様はお断り致します [81] 団体様はお断り致します,お1人さまでご来店ください [81] お1人さまでご来店ください,宜敷くお願い致します [80] matsudojiro3,千葉県hpより Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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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 G7:
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Top Tweeters in G9:
Top Tweeters in G10: