The graph represents a network of 6,463 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, 30 May 2022 at 09:46 UTC.
The requested start date was Monday, 30 May 2022 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, 14-hour, 3-minute period from Tuesday, 24 May 2022 at 22:21 UTC to Sunday, 29 May 2022 at 12:24 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 : 6463
Unique Edges : 7041
Edges With Duplicates : 15554
Total Edges : 22595
Number of Edge Types : 5
Retweet : 5102
MentionsInRetweet : 10138
Replies to : 1713
Mentions : 4857
Tweet : 785
Self-Loops : 831
Reciprocated Vertex Pair Ratio : 0.0263628966639544
Reciprocated Edge Ratio : 0.0513714919930236
Connected Components : 505
Single-Vertex Connected Components : 180
Maximum Vertices in a Connected Component : 4748
Maximum Edges in a Connected Component : 20041
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.020545
Graph Density : 0.000302031136647037
Modularity : 0.462493
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,463 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, 30 May 2022 at 09:46 UTC.
The requested start date was Monday, 30 May 2022 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, 14-hour, 3-minute period from Tuesday, 24 May 2022 at 22:21 UTC to Sunday, 29 May 2022 at 12:24 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:
[3862] let's,wait [3862] wait,see [988] sars,cov [963] virus,let's [963] see,ncov [963] ncov,let's [963] see,sars [963] cov,let's [963] see,alpha [963] alpha,let's Top Word Pairs in Tweet in G1:
[138] ladynavylyley,_2019_ncov [136] _2019_ncov,j'ai [134] j'ai,regardé [134] regardé,4h [134] 4h,cette [134] cette,table [134] table,ronde [134] ronde,retiens [134] retiens,surtout [134] surtout,ceux Top Word Pairs in Tweet in G2:
[3721] let's,wait [3721] wait,see [929] virus,let's [929] see,ncov [929] ncov,let's [929] see,sars [929] sars,cov [929] cov,let's [929] see,alpha [929] alpha,let's Top Word Pairs in Tweet in G3:
[118] hosting,summer [118] summer,gathering [118] gathering,outside [118] outside,best [118] best,inside [118] inside,open [118] open,doors [118] doors,windows [118] windows,run [118] run,portable Top Word Pairs in Tweet in G4:
[295] アイスホッケーで172人の大クラスター,そのうち102人は観客であり [295] そのうち102人は観客であり,エアロゾル感染 [294] triangle24,アイスホッケーで172人の大クラスター [35] 換気が悪い環境や密集した室内では,感染者から放出された感染性ウイルスを含む粒子が空中に漂う時間が長く [35] 感染者から放出された感染性ウイルスを含む粒子が空中に漂う時間が長く,また距離も長くなる [31] 国立感染症研究所,換気が悪い環境や密集した室内では [31] また距離も長くなる,距離が遠いにもかかわらず感染が発生した事例が国内外で報告されている [31] 距離が遠いにもかかわらず感染が発生した事例が国内外で報告されている,kojiww [30] dadshonan,国立感染症研究所 [30] kojiww,ht Top Word Pairs in Tweet in G5:
[194] jeanyvescapo,55bellechasse [191] 55bellechasse,lebalou90 [186] jlesgards,medic4allhuman [179] jgalt485,yvespdb [176] yvespdb,jeanyvescapo [169] lebalou90,allanicfabian [168] allanicfabian,jlesgards [166] medic4allhuman,mmtchi [156] mmtchi,borowskimike [141] borowskimike,houdiakova Top Word Pairs in Tweet in G6:
[252] _2019_ncov,jaimehorta17 [252] jaimehorta17,el_dic_tator [245] el_dic_tator,secretwar_ [231] secretwar_,yvespdb [231] yvespdb,papanours60 [195] tout,dit [190] dit,entièrement [190] entièrement,d'accord [190] d'accord,lui [190] lui,_2019_ncov Top Word Pairs in Tweet in G7:
[204] chadox1,ncov [204] ncov,19 [134] #astrazeneca,chadox1 [115] 19,vaccination [101] 19,vaccine [74] adverse,events [68] year,old [60] review,literature [56] development,severe [56] severe,pemphigus Top Word Pairs in Tweet in G8:
[387] 詳細は,co [381] ibaraki_kouhou,#新型コロナウイルス感染症情報 [312] co,0iqvdzsuud [312] 0iqvdzsuud,検査前で症状がある方 [219] 検査前で症状がある方,検査で陽性と判明した方 [213] うち重症者数,0名 [213] 検査で陽性と判明した方,濃厚 [174] 1名,詳細は [168] 検査前で症状がある方,検査で [145] 現在の入院者数,69名 Top Word Pairs in Tweet in G9:
[122] covid,19 [24] chadox1,ncov [24] ncov,19 [21] learn,more [19] 19,vaccine [16] 2022,05 [16] scholars,portal [10] 국내,발생 [9] sars,cov [9] 2019,ncov Top Word Pairs in Tweet in G10:
[156] 1月の北海道でのホッケー大会で起きた観客を含んだメガクラスターの感染研の報告,読んだ [156] 読んだ,これは [156] これは,油断してると今後のアイスショーでもスケートの試合でも起こり得るな [156] 油断してると今後のアイスショーでもスケートの試合でも起こり得るな,というのが感想 [155] beechhangergals,1月の北海道でのホッケー大会で起きた観客を含んだメガクラスターの感染研の報告 [7] 屋外におけるマスク着脱の実践例について,千葉県から目安が示されました [7] 千葉県から目安が示されました,基本的な感染防止対策を行いつつ [7] 基本的な感染防止対策を行いつつ,様々な状況に柔軟に対応していただくための目安としてご利用ください [6] アジアリーグアイスホッケー競技大会における新型コロナウイルス感染症事例,24 [6] 24,国立感染症研究所 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 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: