The graph represents a network of 943 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 Friday, 01 July 2022 at 10:14 UTC.
The requested start date was Friday, 01 July 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 13-day, 8-hour, 31-minute period from Friday, 17 June 2022 at 03:25 UTC to Thursday, 30 June 2022 at 11:56 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 : 943
Unique Edges : 407
Edges With Duplicates : 1891
Total Edges : 2298
Number of Edge Types : 5
Replies to : 91
Mentions : 305
Retweet : 902
MentionsInRetweet : 935
Tweet : 65
Self-Loops : 67
Reciprocated Vertex Pair Ratio : 0.00114025085518814
Reciprocated Edge Ratio : 0.00227790432801822
Connected Components : 101
Single-Vertex Connected Components : 23
Maximum Vertices in a Connected Component : 330
Maximum Edges in a Connected Component : 1515
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.327928
Graph Density : 0.00098839814208167
Modularity : 0.366775
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 943 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 Friday, 01 July 2022 at 10:14 UTC.
The requested start date was Friday, 01 July 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 13-day, 8-hour, 31-minute period from Friday, 17 June 2022 at 03:25 UTC to Thursday, 30 June 2022 at 11:56 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:
[767] informe,diario [767] diario,#covid_19 [767] casos,nuevos [767] casos,activos [767] fallecidos,registrados [767] registrados,58 [724] ministeriosalud,informe [251] activos,39 [251] 39,fallecidos [196] nuevos,40 Top Word Pairs in Tweet in G1:
[723] informe,diario [723] diario,#covid_19 [723] casos,nuevos [723] casos,activos [723] fallecidos,registrados [723] registrados,58 [716] ministeriosalud,informe [235] activos,39 [235] 39,fallecidos [186] junio,10 Top Word Pairs in Tweet in G2:
[80] 神経を壊すよう,プログラムされている [80] プログラムされている,nature [80] nature,新たな発見 [80] 新たな発見,sars [80] sars,ncov [80] ncov,2には [80] 2には,凝集すると強い細胞毒性のあるアミロイドを高速で [80] 凝集すると強い細胞毒性のあるアミロイドを高速で,凝集 [80] 凝集,し [80] し,神経細胞の Top Word Pairs in Tweet in G5:
[2] jesslovesmjk,something [2] something,think [2] think,genes [2] genes,mrna [2] mrna,encode [2] encode,destructive [2] destructive,proteins [2] proteins,modified [2] sars,ncov [2] sars,cov Top Word Pairs in Tweet in G6:
[15] sars,cov [11] covid,19 [8] 2022,06 [8] scholars,portal [6] sars,ncov [4] articles,covid [4] portal,périodiques [4] 19,scholars [4] #covid19,#sarscov2 [4] portal,journals Top Word Pairs in Tweet in G8:
[43] informe,diario [43] diario,#covid_19 [43] casos,nuevos [43] casos,activos [43] fallecidos,registrados [43] registrados,58 [25] natho47,informe [16] activos,39 [16] 39,fallecidos [11] nuevos,40 Top Word Pairs in Tweet in G9:
[20] covid,19 [10] against,covid [9] recent,study [9] 19,still [9] still,circulating [9] circulating,wear [9] wear,well [9] well,fitted [9] fitted,high [9] high,quality Top Word Pairs in Tweet in G10:
[2] studies,showing [2] showing,masks [2] dozens,studies [2] jrdblades,galt_dead [2] galt_dead,talkerteacher Top Replied-To in Entire Graph:
Top Replied-To in G3:
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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 G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: