The graph represents a network of 7,906 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, 18 April 2021 at 09:28 UTC.
The requested start date was Sunday, 18 April 2021 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 2-day, 16-hour, 28-minute period from Tuesday, 13 April 2021 at 21:08 UTC to Friday, 16 April 2021 at 13:37 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 : 7906
Unique Edges : 3917
Edges With Duplicates : 11946
Total Edges : 15863
Number of Edge Types : 5
Retweet : 5424
MentionsInRetweet : 6648
Tweet : 1400
Replies to : 787
Mentions : 1604
Self-Loops : 1428
Reciprocated Vertex Pair Ratio : 0.00427243025885901
Reciprocated Edge Ratio : 0.00850850850850851
Connected Components : 1290
Single-Vertex Connected Components : 476
Maximum Vertices in a Connected Component : 2983
Maximum Edges in a Connected Component : 8009
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.639808
Graph Density : 0.000127878281381181
Modularity : 0.511122
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,906 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, 18 April 2021 at 09:28 UTC.
The requested start date was Sunday, 18 April 2021 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 2-day, 16-hour, 28-minute period from Tuesday, 13 April 2021 at 21:08 UTC to Friday, 16 April 2021 at 13:37 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:
[828] covid,19 [728] ad5,ncov [696] cansino,biologics [684] sputnik,convidecia [684] ncov,cansino [684] biologics,sinopharm [683] sinopharm,covaxin [649] convidecia,aka [649] aka,ad5 [649] covaxin,bharat Top Word Pairs in Tweet in G1:
[486] #covid19,vaccine [451] janssen,#covid19 [223] million,doses [223] vaccine,given [222] nearly,million [222] doses,janssen [222] cases,rare [221] given,small [221] small,number [221] number,cases Top Word Pairs in Tweet in G2:
[645] sputnik,convidecia [645] convidecia,aka [645] aka,ad5 [645] ad5,ncov [645] ncov,cansino [645] cansino,biologics [645] biologics,sinopharm [645] sinopharm,covaxin [645] covaxin,bharat [645] bharat,biotech Top Word Pairs in Tweet in G3:
[146] covid,19 [78] ncov,19 [75] chadox1,ncov [52] 2019,ncov [47] 19,vaccination [42] thrombocytopenia,chadox1 [34] thrombotic,thrombocytopenia [27] vaccination,nejm [24] 19,vaccine [22] fully,vaccinated Top Word Pairs in Tweet in G4:
[135] heroさんが載せて下さいましたcdcの見解は,物の表面に付着した新型コロナウイルスで接触感染がおこる可能性は1 [135] 物の表面に付着した新型コロナウイルスで接触感染がおこる可能性は1,10 [135] 10,000以下で [135] 000以下で,基本的な清掃や消毒は1日1回で充分という事です [134] hanakihideaki,heroさんが載せて下さいましたcdcの見解は [117] リアルワールドの感染経路は,直接接触 [117] 直接接触,飛沫感染 [117] 飛沫感染,空気感染 [117] 空気感染,接触感染 [117] 接触感染,という感じです Top Word Pairs in Tweet in G5:
[75] datos,#covid19 [68] frente,#covid19 [43] lugares,cerrados [43] cerrados,recomienda [43] recomienda,maximizar [43] maximizar,ventilación [43] ventilación,reducir [43] reducir,riesgo [43] riesgo,contagio [43] contagio,#covid19 Top Word Pairs in Tweet in G6:
[342] #新型コロナウイルス,感染症情報 [335] ibaraki_kouhou,#新型コロナウイルス [214] うち重症者数,8人 [214] 8人,また [214] また,県衛生研究所等で変異株のpcr検査を行ったところ [212] 県衛生研究所等で変異株のpcr検査を行ったところ,n501yの変異がある [125] うち重症者数,7人 [125] 7人,引き続き [125] 引き続き,感染症対策にご協力をお願いします [116] 感染症情報,4月15日 Top Word Pairs in Tweet in G7:
[122] 2019,ncov [119] cases,increase [119] ncov,recombinomics [119] recombinomics,inc [116] covid,cases [14] thanks,#opendata [14] #opendata,sharing [14] sharing,gisaid [14] #covid19,#sarscov2 [13] variant,emerging Top Word Pairs in Tweet in G8:
[35] public,health [29] oieanimalhealth,unep [29] live,wild [29] live,wildlife [28] called,immediate [28] immediate,suspension [28] suspension,live [28] wildlife,animal [28] animal,market [28] market,sales Top Word Pairs in Tweet in G9:
[147] tested,covid [147] covid,develop [147] develop,fever [147] fever,cough [147] cough,shortness [147] shortness,breath [147] breath,fatigue [147] fatigue,loss [147] loss,smell [147] smell,taste Top Word Pairs in Tweet in G10:
[137] アメリカ,コロナワクチン接種後の死亡者三千人超える [137] コロナワクチン接種後の死亡者三千人超える,cdcが4月13日データを更新 [137] cdcが4月13日データを更新,新型コロナワクチン接種後の死亡者数 [137] 新型コロナワクチン接種後の死亡者数,211人増え3 [137] 211人増え3,005人に [137] 005人に,死亡率は0 [137] 死亡率は0,00167 [137] 00167,から0 [137] から0,00158 [137] 00158,となった Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G10: