The graph represents a network of 7,682 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 Tuesday, 15 September 2020 at 11:08 UTC.
The requested start date was Tuesday, 15 September 2020 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 4-day, 8-hour, 40-minute period from Thursday, 10 September 2020 at 15:19 UTC to Tuesday, 15 September 2020 at 00:00 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 : 7682
Unique Edges : 3223
Edges With Duplicates : 12788
Total Edges : 16011
Number of Edge Types : 5
Tweet : 1322
Retweet : 5579
MentionsInRetweet : 6617
Replies to : 682
Mentions : 1811
Self-Loops : 1354
Reciprocated Vertex Pair Ratio : 0.00616808018504241
Reciprocated Edge Ratio : 0.0122605363984674
Connected Components : 1042
Single-Vertex Connected Components : 426
Maximum Vertices in a Connected Component : 3992
Maximum Edges in a Connected Component : 9851
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 5.784744
Graph Density : 0.000132699624553274
Modularity : 0.489648
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,682 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 Tuesday, 15 September 2020 at 11:08 UTC.
The requested start date was Tuesday, 15 September 2020 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 4-day, 8-hour, 40-minute period from Thursday, 10 September 2020 at 15:19 UTC to Tuesday, 15 September 2020 at 00:00 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:
[1163] covid,19 [475] slow,spread [445] during,deadly [445] deadly,pandemic [445] pandemic,killed [445] killed,nearly [445] nearly,200 [445] 200,000 [445] 000,americans [444] joshscampbell,during Top Word Pairs in Tweet in G1:
[462] covid,19 [379] slow,spread [363] spread,covid [359] help,slow [353] cdcgov,#wearamask [344] #wearamask,public [344] public,help [344] 19,sure [344] sure,wear [344] wear,right Top Word Pairs in Tweet in G2:
[213] datos,#covid19 [209] #covid19,españa [137] sanidadgob,actualización [130] materiales,información [129] actualización,datos [127] información,#coronavirus [125] españa,materiales [84] españa,primer [84] primer,caso [84] caso,inicial Top Word Pairs in Tweet in G3:
[442] during,deadly [442] deadly,pandemic [442] pandemic,killed [442] killed,nearly [442] nearly,200 [442] 200,000 [442] 000,americans [441] joshscampbell,during [2] cdcgov,september [2] september,national Top Word Pairs in Tweet in G4:
[139] covid,19 [56] 2019,ncov [32] learn,more [23] coronavirus,2019 [20] novel,coronavirus [20] protect,yourself [17] yourself,others [14] #covid19,#coronavirus [13] wash,hands [13] spread,covid Top Word Pairs in Tweet in G5:
[125] health,department [113] wash,hands [113] stay,feet [111] hands,watch [111] watch,distance [111] distance,stay [88] testing,positive [88] positive,antibodies [88] antibodies,virus [88] virus,causes Top Word Pairs in Tweet in G6:
[17] 2019,ncov [9] jan,14 [8] preliminary,investigations [8] investigations,conducted [8] conducted,chinese [8] chinese,authorities [8] authorities,found [8] found,clear [8] clear,evidence [8] evidence,human Top Word Pairs in Tweet in G7:
[96] curs,escolar [91] totes,tots [90] nou,curs [90] tots,respectem [90] respectem,mesures [89] escolar,bona [89] bona,tornada [89] tornada,cal [89] cal,totes [75] donem,benvinguda Top Word Pairs in Tweet in G8:
[186] 欧州疾病予防管理センターによる現在のヨーロッパの感染者状況,欧州ではマスクフリーのスウェーデンの感染者が少ないのは一目瞭然 [186] 欧州ではマスクフリーのスウェーデンの感染者が少ないのは一目瞭然,マスク着用義務国は最悪の状況だ [186] マスク着用義務国は最悪の状況だ,濃い色の場所は感染者が多い [186] 濃い色の場所は感染者が多い,水色は感染者ゼロ [185] you3_jp,欧州疾病予防管理センターによる現在のヨーロッパの感染者状況 [185] 水色は感染者ゼロ,マスク愛好家の方にこの残念な結果を知らせてあ [5] chadox1,ncov [5] ncov,19 [3] アストラゼネカのワクチンazd1222が有害事象の疑いで臨床試験を一時中断,ワクチン接種者になんらかの有害事象が出たために [3] ワクチン接種者になんらかの有害事象が出たために,azd1222の臨床試験が一時中断となりました Top Word Pairs in Tweet in G9:
[126] coronavirus,illness [126] illness,cli [94] weekly,print [93] print,coronavirus [93] cli,week [93] week,ending [93] ending,september [93] september,visits [92] kerpen,weekly [92] visits,match Top Word Pairs in Tweet in G10:
[219] #新型コロナウイルス,感染症情報 [215] ibaraki_kouhou,#新型コロナウイルス [127] 2名が軽症者等宿泊療養施設を退所しました,引き続き感染防止にご協力をお願いします [118] 感染症情報,9月11日 [118] 9月11日,新たに13名が同感染症に感染していることが確認されました [118] 新たに13名が同感染症に感染していることが確認されました,また [118] また,同感染症患者2名が退院し [118] 同感染症患者2名が退院し,2名が軽症者等宿泊療養施設を退所しました [117] 引き続き感染防止にご協力をお願いします,#いばらき [89] 感染症情報,9月14日 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: