The graph represents a network of 7,819 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, 15 February 2021 at 10:20 UTC.
The requested start date was Monday, 15 February 2021 at 01:01 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 3-day, 13-hour, 14-minute period from Thursday, 11 February 2021 at 00:40 UTC to Sunday, 14 February 2021 at 13:55 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 : 7819
Unique Edges : 3381
Edges With Duplicates : 13152
Total Edges : 16533
Number of Edge Types : 5
Tweet : 1268
Retweet : 5741
MentionsInRetweet : 7082
Replies to : 616
Mentions : 1826
Self-Loops : 1299
Reciprocated Vertex Pair Ratio : 0.00469889946828243
Reciprocated Edge Ratio : 0.00935384615384615
Connected Components : 1003
Single-Vertex Connected Components : 413
Maximum Vertices in a Connected Component : 4204
Maximum Edges in a Connected Component : 10452
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.614905
Graph Density : 0.000132915763534726
Modularity : 0.486242
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,819 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, 15 February 2021 at 10:20 UTC.
The requested start date was Monday, 15 February 2021 at 01:01 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 3-day, 13-hour, 14-minute period from Thursday, 11 February 2021 at 00:40 UTC to Sunday, 14 February 2021 at 13:55 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:
[1093] cloth,mask [884] #covid19,wear [852] better,protection [850] disposable,mask [850] covid,19 [847] improve,fit [846] masks,improve [845] mask,under [844] under,cloth [843] give,better Top Word Pairs in Tweet in G1:
[966] cloth,mask [815] #covid19,wear [789] two,masks [788] protection,#covid19 [788] disposable,mask [787] #new,wearing [787] wearing,two [787] masks,improve [787] improve,fit [787] fit,give Top Word Pairs in Tweet in G2:
[149] covid,19 [31] 19,vaccine [30] learn,more [23] 2019,ncov [16] ncov,19 [14] improve,mask [14] har,tillfrisknat [13] mask,protects [13] chadox1,ncov [13] wash,hands Top Word Pairs in Tweet in G3:
[339] cdc,eeuu [339] eeuu,recomienda [339] recomienda,abrir [339] abrir,escuelas [339] escuelas,guía [339] guía,riesgo [339] riesgo,circulación [339] circulación,virus [339] virus,considera [339] considera,rojo Top Word Pairs in Tweet in G4:
[317] missing,cdc [317] cdc,school [317] school,reopening [317] reopening,priority [317] priority,list [317] list,airborne [317] airborne,virus [317] virus,guidance [317] guidance,nothing [317] nothing,33 Top Word Pairs in Tweet in G5:
[111] covid,19 [110] 19,health [108] 不織布マスクの上に複層構造の布マスクをするのはマル,不織布マスクの2枚重ねはバツ [108] 不織布マスクの2枚重ねはバツ,kn95は単独使用し他のマスクと重ねないこと [108] kn95は単独使用し他のマスクと重ねないこと,エア漏れがかえって大きくなる [108] エア漏れがかえって大きくなる,covid [107] kawathecathand,不織布マスクの上に複層構造の布マスクをするのはマル [55] nasukob,参考 [24] cdcのマスクレクチャーが日本のレベルに近づいてきました,ノーズフィッターのあるマスクにする [24] ノーズフィッターのあるマスクにする,ダブルマスク推奨 Top Word Pairs in Tweet in G6:
[58] datos,#covid19 [38] mascarilla,distancia [38] distancia,higiene [38] higiene,manos [38] manos,ventilación [38] ventilación,protégete [38] protégete,#covid19 [38] #covid19,virus [38] virus,respiratorios [38] respiratorios,sigue Top Word Pairs in Tweet in G7:
[36] covid,19 [34] sars,cov [32] #covid19,vaccine [30] interim,recommendations [30] recommendations,use [30] ncov,19 [29] 2019,ncov [29] strategic,advisory [29] advisory,group [29] group,experts Top Word Pairs in Tweet in G8:
[317] #新型コロナウイルス,感染症情報 [308] 引き続き,感染症対策にご協力をお願いします [303] ibaraki_kouhou,#新型コロナウイルス [299] 感染症対策にご協力をお願いします,#いばら [195] うち重症者数,15人 [195] 15人,引き続き [190] 本日の死亡者数,1人 [190] 1人,本日の退院等回復者数 [121] 感染症情報,2月11日 [119] 2月11日,本日の新規陽性者数 Top Word Pairs in Tweet in G9:
[138] well,fitting [138] fitting,masks [138] masks,effective [138] effective,protecting [138] protecting,others [138] others,virus [138] virus,learn [138] learn,make [138] make,mask [138] mask,fit Top Word Pairs in Tweet in G10:
[33] hcp,enter [33] enter,room [33] room,patient [33] patient,suspected [33] suspected,confirmed [33] confirmed,sars [33] sars,cov [31] cov,infection [30] microlabdoc,hcp [30] infection,adhe Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: