The graph represents a network of 5,690 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 Sunday, 05 April 2020 at 08:13 UTC.
The requested start date was Sunday, 05 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, 4-hour, 38-minute period from Friday, 03 April 2020 at 05:47 UTC to Saturday, 04 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 : 5690
Unique Edges : 7036
Edges With Duplicates : 672
Total Edges : 7708
Number of Edge Types : 4
MentionsInRetweet : 5702
Mentions : 679
Replies to : 342
Tweet : 985
Self-Loops : 985
Reciprocated Vertex Pair Ratio : 0.00434580164519634
Reciprocated Edge Ratio : 0.0086539947457889
Connected Components : 1065
Single-Vertex Connected Components : 507
Maximum Vertices in a Connected Component : 2593
Maximum Edges in a Connected Component : 4365
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.201016
Graph Density : 0.000199904789590246
Modularity : 0.784542
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,690 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 Sunday, 05 April 2020 at 08:13 UTC.
The requested start date was Sunday, 05 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, 4-hour, 38-minute period from Friday, 03 April 2020 at 05:47 UTC to Saturday, 04 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:
[1075] cloth,face [981] cdc,recommendation [898] wearing,cloth [865] face,covering [861] recommendation,wearing [861] covering,help [861] help,protect [861] protect,vulnerable [856] vulnerable,#covid19 [856] #covid19,watch Top Word Pairs in Tweet in G1:
[967] cloth,face [953] cdc,recommendation [848] wearing,cloth [846] face,covering [844] recommendation,wearing [844] covering,help [844] help,protect [844] protect,vulnerable [840] vulnerable,#covid19 [840] #covid19,watch Top Word Pairs in Tweet in G2:
[66] 2019,ncov [49] covid,19 [34] sa,ncov [18] coronavirus,2019 [17] cloth,face [15] face,coverings [13] ng,ncov [13] 2020,04 [11] coronavirus,covid [10] recommendation,regarding Top Word Pairs in Tweet in G3:
[394] ccaa,situación [394] situación,actual [394] actual,información [228] datos,actualizados [228] actualizados,#covid19 [226] sanidadgob,datos [216] #covid19,ccaa [216] información,co [215] co,jbnd5l [178] actualizados,datos Top Word Pairs in Tweet in G4:
[181] covid,19 [180] mascarillas,caseras [177] cdc,recomienda [177] recomienda,mascarillas [177] caseras,población [177] población,general [177] general,medida [177] medida,frenar [177] frenar,epidemia [177] epidemia,covid Top Word Pairs in Tweet in G5:
[82] human,human [82] human,transmission [81] investigations,conducted [81] conducted,chinese [81] chinese,authorities [81] authorities,found [81] found,clear [81] clear,evidence [81] evidence,human [79] preliminary,investigations Top Word Pairs in Tweet in G6:
[63] 新型,しんがた [63] しんがた,コロナウイルスの病気 [63] コロナウイルスの病気,びょうき [63] びょうき,にかからないために茨城県 [63] にかからないために茨城県,いばらきけん [63] いばらきけん,からのお願 [63] からのお願,ねが [63] ねが,いをやさしい日本語 [63] いをやさしい日本語,にほんご [63] にほんご,と英語 Top Word Pairs in Tweet in G7:
[136] coronavirus,disease [136] disease,2019 [136] 2019,covid [136] covid,19 [133] 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 [132] 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 [132] 19,cdcgo [3] 19,cdcgovより [2] ４月３日付,ｃｄｃの推奨 [2] ｃｄｃの推奨,他人へうつすのを予防するためにフェイスカバーの着用を勧めると Top Word Pairs in Tweet in G8:
[59] thank,deptofdefense [59] deptofdefense,usacehq [59] usacehq,usnationalguard [59] usnationalguard,fema [59] fema,cdcgov [58] realdonaldtrump,thank [40] 30,days [40] days,slow [40] slow,spread [40] spread,#covidー19 Top Word Pairs in Tweet in G9:
[118] 衝撃のニュース,米cdcが [118] 米cdcが,布マスクを推奨 [118] 布マスクを推奨,特に感染が起きやすい場所では [118] 特に感染が起きやすい場所では,症状がない人でも [118] 症状がない人でも,推奨とガイドラインを変更しました [118] 推奨とガイドラインを変更しました,理由は [118] 理由は,うつらないため [118] うつらないため,ではなく [118] ではなく,無症状でもうすつことがあるため [117] rikomrnk,衝撃のニュース Top Word Pairs in Tweet in G10:
[102] 昨日,10代後半の女性 [102] 10代後半の女性,区内在住 [102] 区内在住,学生 [102] 学生,と [102] と,区内保育施設の園児1名が新型コロナウイルスに感染していることが確認されました [102] 区内保育施設の園児1名が新型コロナウイルスに感染していることが確認されました,#江戸川区 [102] #江戸川区,感染症患者の公表 [102] 感染症患者の公表,第6 [102] 第6,第7 [101] edogawa_city,昨日 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
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: