The graph represents a network of 294 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 Saturday, 10 September 2022 at 11:30 UTC.
The requested start date was Saturday, 10 September 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 5-day, 22-hour, 0-minute period from Saturday, 27 August 2022 at 08:23 UTC to Friday, 02 September 2022 at 06:23 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 : 294
Unique Edges : 119
Edges With Duplicates : 541
Total Edges : 660
Number of Edge Types : 5
Retweet : 264
MentionsInRetweet : 271
Replies to : 33
Mentions : 65
Tweet : 27
Self-Loops : 29
Reciprocated Vertex Pair Ratio : 0.00386100386100386
Reciprocated Edge Ratio : 0.00769230769230769
Connected Components : 44
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 121
Maximum Edges in a Connected Component : 455
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 1.970361
Graph Density : 0.00301827215527849
Modularity : 0.372029
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 294 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 Saturday, 10 September 2022 at 11:30 UTC.
The requested start date was Saturday, 10 September 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 5-day, 22-hour, 0-minute period from Saturday, 27 August 2022 at 08:23 UTC to Friday, 02 September 2022 at 06:23 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:
[235] informe,diario [235] diario,#covid_19 [235] casos,nuevos [235] casos,activos [235] fallecidos,registrados [225] ministeriosalud,informe [129] nuevos,24 [98] nuevos,33 [73] registrados,60 [65] #covid_19,septiembre Top Word Pairs in Tweet in G1:
[230] informe,diario [230] diario,#covid_19 [230] casos,nuevos [230] casos,activos [230] fallecidos,registrados [225] ministeriosalud,informe [129] nuevos,24 [98] nuevos,33 [68] registrados,60 [65] #covid_19,septiembre Top Word Pairs in Tweet in G4:
[14] summary,cdc [14] cdc,documents [14] documents,studies [14] studies,more [13] dgurdasani1,summary [3] family,including [3] including,sars [3] sars,mers [3] mers,2019 [3] 2019,ncov Top Word Pairs in Tweet in G5:
[11] sars,cov [4] 2022,08 [4] covid,19 [4] scholars,portal [4] 529系統,オミクロン株 [4] オミクロン株,sars [4] cov,2国内流行初期に都内神社aにおいて発生したオミクロン株による集団感染事例 [4] 2国内流行初期に都内神社aにおいて発生したオミクロン株による集団感染事例,2021年12月 [4] 2021年12月,2022年1月 [3] 2019,ncov Top Word Pairs in Tweet in G6:
[5] sars,ncov [2] huffpost,sars Top Word Pairs in Tweet in G8:
[2] stohr_klaus,welt [2] welt,große [2] große,studie [2] studie,cdc [2] cdc,die [2] die,sicher [2] sicher,kennen [2] kennen,scrollen [2] scrollen,runter [2] runter,gibts Top Word Pairs in Tweet in G9:
[4] jeromeadamsmd,niosh [4] niosh,approved [4] approved,n95 [4] n95,equivalent [4] equivalent,higher [4] higher,level [4] level,respirators [4] respirators,recommended [4] recommended,providing [4] providing,care Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: