The graph represents a network of 2,377 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 Thursday, 28 October 2021 at 11:19 UTC.
The requested start date was Thursday, 28 October 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 13-day, 10-hour, 54-minute period from Thursday, 14 October 2021 at 01:00 UTC to Wednesday, 27 October 2021 at 11:55 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 : 2377
Unique Edges : 1075
Edges With Duplicates : 2676
Total Edges : 3751
Number of Edge Types : 5
Tweet : 194
Retweet : 1189
MentionsInRetweet : 1252
Replies to : 281
Mentions : 835
Self-Loops : 230
Reciprocated Vertex Pair Ratio : 0.0032258064516129
Reciprocated Edge Ratio : 0.00643086816720257
Connected Components : 306
Single-Vertex Connected Components : 79
Maximum Vertices in a Connected Component : 558
Maximum Edges in a Connected Component : 1111
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.567419
Graph Density : 0.00038546310107101
Modularity : 0.56633
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,377 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 Thursday, 28 October 2021 at 11:19 UTC.
The requested start date was Thursday, 28 October 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 13-day, 10-hour, 54-minute period from Thursday, 14 October 2021 at 01:00 UTC to Wednesday, 27 October 2021 at 11:55 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 : 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:
[900] sars,cov [562] oms,reconoce [562] reconoce,sars [562] cov,nunca [562] nunca,aislado [562] aislado,purificado [562] purificado,partir [562] partir,cuerpo [562] cuerpo,humano [562] humano,secuencias Top Word Pairs in Tweet in G1:
[542] oms,reconoce [542] reconoce,sars [542] sars,cov [542] cov,nunca [542] nunca,aislado [542] aislado,purificado [542] purificado,partir [542] partir,cuerpo [542] cuerpo,humano [542] humano,secuencias Top Word Pairs in Tweet in G2:
[129] 10,000 [129] 000,risk [129] risk,transmission [129] transmission,surfaces [129] surfaces,conditional [129] conditional,surface [129] surface,actually [129] actually,having [129] having,virus [129] virus,going Top Word Pairs in Tweet in G3:
[2] sars,cov [2] 2019,ncov Top Word Pairs in Tweet in G4:
[73] アルファ株とデルタ株の組換え体とみられるsars,cov [69] cov,2ウイルスの検出について [46] 今回見つかったのは部位的には感染性,免疫逃避に影響を与える箇所ではないとしています [46] 免疫逃避に影響を与える箇所ではないとしています,アルファ株とデルタ株の組換え体とみられるsars [45] influenzer3,今回見つかったのは部位的には感染性 [24] sars,cov [20] 感染研hp,アルファ株とデルタ株の組換え体とみられるsars [20] 2ウイルスの検出について,2021 [20] 2021,10 [20] 10,18 Top Word Pairs in Tweet in G5:
[85] アルファ株とデルタ株の組換え体とみられるsars,cov [85] cov,2ウイルスの検出について [85] 2ウイルスの検出について,国立感染症研究所 [82] 国立感染症研究所,2021年10月18日 [82] 2021年10月18日,現時点では [82] 現時点では,本組換え体による追加的な公衆衛生リスクは無いと考えられるが [82] 本組換え体による追加的な公衆衛生リスクは無いと考えられるが,今後の動向に注意する [81] motoisuzuki,アルファ株とデルタ株の組換え体とみられるsars [3] 国立感染症研究所,デルタ株の部分は国内で流行するデルタ株由来と考えられ [3] デルタ株の部分は国内で流行するデルタ株由来と考えられ,組換えが生じた箇所はorf6遺伝子以降で Top Word Pairs in Tweet in G6:
[80] sars,cov [60] covid,19 [48] scholars,portal [29] chadox1,ncov [29] ncov,19 [27] drml350phd,interesting [24] 2019,ncov [24] 2021,10 [24] articles,covid [24] portal,périodiques Top Word Pairs in Tweet in G7:
[64] analysis,scotland's [64] scotland's,mortality [64] mortality,114 [64] 114,000 [64] 000,sars [64] sars,cov2 [64] cov2,infected [64] infected,people [64] people,revealed [64] revealed,vaccine Top Word Pairs in Tweet in G8:
[66] sars,cov [54] oluşturmalarına,izin [54] izin,veriyordu [54] veriyordu,biraz [54] biraz,uzun [54] uzun,bir [54] bir,okuma [54] okuma,ama [54] ama,kendinize [54] kendinize,bir Top Word Pairs in Tweet in G9:
[2] lower,viral [2] viral,loads [2] loads,reduced [2] reduced,duration [2] duration,infectiousness [2] infectiousness,observed [2] observed,vaccinated [2] vaccinated,individuals [2] individuals,infected [2] infected,sars Top Word Pairs in Tweet in G10:
[2] makes,think Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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:
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: