The graph represents a network of 1,247 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 November 2022 at 10:20 UTC.
The requested start date was Wednesday, 30 November 2022 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 12-day, 18-hour, 45-minute period from Wednesday, 16 November 2022 at 02:32 UTC to Monday, 28 November 2022 at 21:18 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 : 1247
Unique Edges : 434
Edges With Duplicates : 2653
Total Edges : 3087
Number of Edge Types : 5
Retweet : 1302
MentionsInRetweet : 1396
Replies to : 76
Tweet : 101
Mentions : 212
Self-Loops : 109
Reciprocated Vertex Pair Ratio : 0.00409165302782324
Reciprocated Edge Ratio : 0.00814995925020375
Connected Components : 124
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 832
Maximum Edges in a Connected Component : 2657
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.786485
Graph Density : 0.000789696234043567
Modularity : 0.375586
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,247 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 30 November 2022 at 10:20 UTC.
The requested start date was Wednesday, 30 November 2022 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 12-day, 18-hour, 45-minute period from Wednesday, 16 November 2022 at 02:32 UTC to Monday, 28 November 2022 at 21:18 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 : SARS-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:
[658] fallecidos,registrados [658] casos,nuevos [658] informe,diario [658] casos,activos [658] diario,#covid_19 [639] ministeriosalud,informe [606] sars,cov [455] containment,increasing [455] mutation,rate [455] cov,mutate Top Word Pairs in Tweet in G1:
[449] containment,increasing [449] evidence,without [449] sars,cov [449] mutate,further [449] mutation,rate [449] increasing,chances [449] clearest,evidence [449] without,containment [449] cov,mutate [449] further,mutation Top Word Pairs in Tweet in G2:
[658] fallecidos,registrados [658] casos,nuevos [658] informe,diario [658] casos,activos [658] diario,#covid_19 [639] ministeriosalud,informe [149] nuevos,11 [143] nuevos,13 [107] registrados,62 [104] nuevos,16 Top Word Pairs in Tweet in G3:
[86] マスクの使用は安全であり,激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない [74] cdc,マスクの使用は安全であり [70] 激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない,マスク着用が子供の感情や言語の発達を損なうという明確な証拠はない [57] hosono_54,cdc [56] dadshonan,hosono_54 [17] ojimakohei,nejm論文が引用しているのは米cdcと米国小児学会の見解です [17] nejm論文が引用しているのは米cdcと米国小児学会の見解です,cdc [16] 激しい運動を除くほとんどの状況下で呼吸またはガス交換に臨床的に重大な影響を与えない,マスク着用が子供の感情や言 [16] dadshonan,ojimakohei [12] 米cdc,マスクの使用は安全であり Top Word Pairs in Tweet in G4:
[78] sars,cov [76] 感染,伝播性の増加や抗原性の変化が懸念される [76] 第22報,xbb系統 [76] xbb系統,bq [76] bq,1系統 [76] の変異株について,第22報 [76] 1系統,bs [76] 新型コロナウイルス,sars [76] cov,の変異株について [76] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス Top Word Pairs in Tweet in G5:
[2] sars,cov [2] influenza,viruses Top Word Pairs in Tweet in G6:
[23] sars,cov [14] sars,ncov [13] micro,clotting [12] due,spike [12] associated,systemic [12] induced,hemolysis [12] resulting,amyloid [12] ncov,associated [12] clotting,due [12] spike,protein Top Word Pairs in Tweet in G8:
[14] sars,cov [13] ok,kids [13] level,laboratory [13] cov,studied [13] biosafety,level [13] riddle,sars [13] studied,biosafety [13] laboratory,ok [12] kids,contr [12] youarelobbylud,riddle Top Word Pairs in Tweet in G9:
[3] sars,cov [2] risks,face [2] lifesaving,#covid19 [2] access,lifesaving [2] #covid19,vaccines [2] given,higher [2] women,countries [2] booster,dose [2] higher,risks [2] countries,access Top Word Pairs in Tweet in G10:
[10] 重症化予防効果には影響がないと予測されている,2022c [10] また,治療薬やワクチンの有効性について [10] 疫学的な評価はされていない,今後の国内外での検出状況 [10] 2022c,また [10] 今後の国内外での検出状況,感染者数や重症者数の推移を注視する必要がある [10] 治療薬やワクチンの有効性について,疫学的な評価はされていない [10] 示唆されているが,重症化予防効果には影響がないと予測されている [9] c45425,示唆されているが Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: