The graph represents a network of 5,628 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 Monday, 06 April 2020 at 08:13 UTC.
The requested start date was Monday, 06 April 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, 1-hour, 35-minute period from Saturday, 04 April 2020 at 08:50 UTC to Sunday, 05 April 2020 at 10:25 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 : 5628
Unique Edges : 7184
Edges With Duplicates : 621
Total Edges : 7805
Number of Edge Types : 4
MentionsInRetweet : 5893
Replies to : 349
Tweet : 908
Mentions : 655
Self-Loops : 908
Reciprocated Vertex Pair Ratio : 0.00436944402591532
Reciprocated Edge Ratio : 0.0087008700870087
Connected Components : 998
Single-Vertex Connected Components : 434
Maximum Vertices in a Connected Component : 2996
Maximum Edges in a Connected Component : 5064
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.244369
Graph Density : 0.000210491375158532
Modularity : 0.765834
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,628 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 Monday, 06 April 2020 at 08:13 UTC.
The requested start date was Monday, 06 April 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, 1-hour, 35-minute period from Saturday, 04 April 2020 at 08:50 UTC to Sunday, 05 April 2020 at 10:25 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 : 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:
[1244] cloth,face [1118] cdc,recommendation [1046] wearing,cloth [1011] help,protect [1008] face,covering [1001] recommendation,wearing [1001] covering,help [1001] protect,vulnerable [998] vulnerable,#covid19 [997] #covid19,watch Top Word Pairs in Tweet in G1:
[1116] cloth,face [1080] cdc,recommendation [981] help,protect [978] wearing,cloth [975] face,covering [973] recommendation,wearing [973] covering,help [973] protect,vulnerable [971] vulnerable,#covid19 [971] #covid19,watch Top Word Pairs in Tweet in G2:
[482] ccaa,situación [482] situación,actual [482] actual,información [480] datos,actualizados [480] actualizados,#covid19 [476] #covid19,ccaa [473] sanidadgob,datos [226] información,co [225] co,jbnd5l [15] coronavirus,nuevo Top Word Pairs in Tweet in G3:
[60] 2019,ncov [50] covid,19 [22] sa,ncov [17] cloth,face [14] face,coverings [13] coronavirus,2019 [13] ng,ncov [10] disease,2019 [10] use,cloth [9] dahil,sa Top Word Pairs in Tweet in G4:
[245] 感染研によるイムノクロマト法データを見る限りでは,igm抗体による早期診断は困難でも [245] igm抗体による早期診断は困難でも,igg抗体は [245] igg抗体は,中和抗体かは [245] 中和抗体かは,ですが [245] ですが,疫学調査による職場や地域における感染状況の把握や [245] 疫学調査による職場や地域における感染状況の把握や,医療従事者などの易感染性の一定の指標にはなりうるのではないかと思います [244] koike_akira,感染研によるイムノクロマト法データを見る限りでは [2] 東京都が市区町村ごとに発表するようになりました,#新型コロナウイルス [2] #新型コロナウイルス,#東京都 [2] #東京都,#町田市 Top Word Pairs in Tweet in G5:
[82] president,realdonaldtrump [80] more,important [80] important,american [80] american,follows [80] follows,president [80] realdonaldtrump,guidelines [80] guidelines,visit [79] mike_pence,more [61] thank,deptofdefense [61] deptofdefense,usacehq Top Word Pairs in Tweet in G6:
[161] mascarillas,caseras [161] covid,19 [159] cdc,recomienda [159] recomienda,mascarillas [159] caseras,población [159] población,general [159] general,medida [159] medida,frenar [159] frenar,epidemia [159] epidemia,covid Top Word Pairs in Tweet in G7:
[74] むっちゃ市中で感染が広がってて薬局やお店で人人の距離がとれないときは布マスクを使うよう米国cdcが推奨,coronavirus [74] coronavirus,disease [74] disease,2019 [74] 2019,covid [74] covid,19 [73] georgebest1969,むっちゃ市中で感染が広がってて薬局やお店で人人の距離がとれないときは布マスクを使うよう米国cdcが推奨 [73] 19,cdcgo [26] 症例報告はこちらです,当院における新型コロナウイルス [26] 当院における新型コロナウイルス,2019 [26] 2019,ncov Top Word Pairs in Tweet in G8:
[24] nextstrain,thanks [21] thanks,#opendata [21] #opendata,sharing [20] #covid19,#sarscov2 [19] 4월,3일의 [19] 3일의,#covid19 [19] #covid19,상황 [19] 상황,보고서가 [19] 보고서가,이제 [19] 이제,한국어로도 Top Word Pairs in Tweet in G9:
[36] human,human [36] human,transmission [35] preliminary,investigations [35] investigations,conducted [35] conducted,chinese [35] chinese,authorities [35] authorities,found [35] found,clear [35] clear,evidence [35] evidence,human Top Word Pairs in Tweet in G10:
[85] 衝撃のニュース,米cdcが [85] 米cdcが,布マスクを推奨 [85] 布マスクを推奨,特に感染が起きやすい場所では [85] 特に感染が起きやすい場所では,症状がない人でも [85] 症状がない人でも,推奨とガイドラインを変更しました [85] 推奨とガイドラインを変更しました,理由は [85] 理由は,うつらないため [85] うつらないため,ではなく [85] ではなく,無症状でもうすつことがあるため [84] rikomrnk,衝撃のニュース Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: