The graph represents a network of 17,844 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 29 February 2020 at 20:21 UTC.
The tweets in the network were tweeted over the 17-hour, 35-minute period from Friday, 28 February 2020 at 23:13 UTC to Saturday, 29 February 2020 at 16:48 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 : 17844
Unique Edges : 18883
Edges With Duplicates : 3039
Total Edges : 21922
Number of Edge Types : 5
Retweet : 12296
MentionsInRetweet : 3429
Tweet : 2623
Replies to : 1688
Mentions : 1886
Self-Loops : 2675
Reciprocated Vertex Pair Ratio : 0.00349020490880432
Reciprocated Edge Ratio : 0.00695613149332436
Connected Components : 2352
Single-Vertex Connected Components : 1257
Maximum Vertices in a Connected Component : 11893
Maximum Edges in a Connected Component : 15350
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.206569
Graph Density : 5.59878528030919E-05
Modularity : 0.7913
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 17,844 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 29 February 2020 at 20:21 UTC.
The tweets in the network were tweeted over the 17-hour, 35-minute period from Friday, 28 February 2020 at 23:13 UTC to Saturday, 29 February 2020 at 16:48 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 : TwitterSearch
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:
[4062] general,public [3932] healthcare,providers [3919] masks,effective [3919] effective,preventing [3917] seriously,people [3917] people,stop [3917] stop,buying [3917] buying,masks [3917] preventing,general [3917] public,catching Top Word Pairs in Tweet in G1:
[3794] healthcare,providers [3793] seriously,people [3793] people,stop [3793] stop,buying [3793] buying,masks [3793] masks,effective [3793] effective,preventing [3793] preventing,general [3793] general,public [3793] public,catching Top Word Pairs in Tweet in G2:
[685] spread,respiratory [665] home,sick [488] prevent,spread [450] wash,hands [433] cover,cough [431] stay,home [424] protect,yourself [423] hands,stay [422] yourself,#covid19 [422] #covid19,avoid Top Word Pairs in Tweet in G3:
[386] 2019,ncov [311] covid,19 [132] 19,2019 [75] 勤務医開業つれづれ日記,３ [72] 新型コロナウイルス,新型コロナウィルスが他の感染症に比べてどのくらい恐ろしいのか [72] 新型コロナウィルスが他の感染症に比べてどのくらい恐ろしいのか,グラフで比較してみた [72] グラフで比較してみた,covid [72] ncov,勤務医開業つれづれ日記 [69] coronavirus,covid [64] sa,ncov Top Word Pairs in Tweet in G4:
[734] ちまたではマスクを着けるのが大流行らしいですが,米国cdcはマスクについてこんな風に言っています [734] 米国cdcはマスクについてこんな風に言っています,元気な人が感染予防のために着けるのは推奨しない [734] 元気な人が感染予防のために着けるのは推奨しない,感染した人が感染を広めないために着けるのは推奨する [734] 感染した人が感染を広めないために着けるのは推奨する,医療従事者は着ける [14] covid,19 [12] coronavirus,disease [12] disease,2019 [12] 2019,covid [11] cdcのマスクに対する見解は,予防には推奨しない [11] 予防には推奨しない,症状が出たら着用すべき Top Word Pairs in Tweet in G5:
[381] 新型コロナウイルス,新型コロナウィルスが他の感染症に比べてどのくらい恐ろしいのか [381] 新型コロナウィルスが他の感染症に比べてどのくらい恐ろしいのか,グラフで比較してみた [381] グラフで比較してみた,covid [381] covid,19 [381] 19,2019 [381] 2019,ncov [381] ncov,勤務医開業つれづれ日記 [381] 勤務医開業つれづれ日記,３ [380] これも事実に基づいた論考,拡散します [380] 拡散します,新型コロナウイルス Top Word Pairs in Tweet in G6:
[66] 2019,ncovについてのメモとリンク [54] 科学論文を読むことができる研究者の方々は,報道やsnsの断片的な情報をみる前に [54] 報道やsnsの断片的な情報をみる前に,神戸大学の中澤港さんの [54] 神戸大学の中澤港さんの,2019 [54] ncovについてのメモとリンク,co [54] co,yenh51hl5i [54] yenh51hl5i,を読んで下さい [54] を読んで下さい,中澤さんは公衆衛生 [54] 中澤さんは公衆衛生,国際保健 [54] 国際保健,人類生態学の研究者として今回の事態について冷静に情報をまとめ考えています Top Word Pairs in Tweet in G7:
[276] covid,19 [263] cdc,の発表通り [263] の発表通り,マスクに [263] マスクに,covid [263] 19,はおろかインフルエンザや通常の風邪を予防するエビデンスはなく [263] はおろかインフルエンザや通常の風邪を予防するエビデンスはなく,無症状でつける意味はありません [263] 無症状でつける意味はありません,未だにマスクの品薄を世紀末のように報じるマスメディアはどう考えても視聴率稼ぎで [263] 未だにマスクの品薄を世紀末のように報じるマスメディアはどう考えても視聴率稼ぎで,そんな彼らに適切な報道ができると到底思えません [16] アメリカcdcの新型コロナ検査総数がずっと400件台で止まっていて,検査を必要性の高い重傷者に絞って [16] 検査を必要性の高い重傷者に絞って,医療リソースを集中させている Top Word Pairs in Tweet in G8:
[327] one,month [213] #coronavirus,#ncov [188] prime,minister [188] minister,lee [188] lee,hsien [188] hsien,loong [188] month,pay [188] pay,cut [164] novel,#coronavirus [143] health,workers Top Word Pairs in Tweet in G9:
[294] 자세히,보기 [290] #힘내라_대구경북,#힘내라_대한민국 [282] 보기,#힘내라_대구경북 [148] 코로나바이러스감염증,19 [148] 19,국내 [148] 국내,발생 [148] 발생,현황입니다 [146] #코로나19_중앙재난안전대책본부,2월 [146] 11시,정례브리핑 [146] 보도자료,자세히 Top Word Pairs in Tweet in G10:
[185] #coronavirus,#covid2019 [185] #covid19mx,#coronavirusméxico [176] asilascosasw,cubrebocas [176] cubrebocas,funcionan [176] funcionan,prevención [176] prevención,ante [176] ante,#coronavirus [176] #covid2019,servir [176] servir,poco [176] poco,ponérselo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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: