The graph represents a network of 815 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, 23 June 2022 at 11:06 UTC.
The requested start date was Thursday, 23 June 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, 9-hour, 55-minute period from Thursday, 09 June 2022 at 01:02 UTC to Wednesday, 22 June 2022 at 10:57 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 : 815
Unique Edges : 470
Edges With Duplicates : 827
Total Edges : 1297
Number of Edge Types : 5
Retweet : 382
MentionsInRetweet : 401
Replies to : 99
Mentions : 339
Tweet : 76
Self-Loops : 80
Reciprocated Vertex Pair Ratio : 0.0012970168612192
Reciprocated Edge Ratio : 0.00259067357512953
Connected Components : 116
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 151
Maximum Edges in a Connected Component : 390
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.535585
Graph Density : 0.00116368459926742
Modularity : 0.584767
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 815 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, 23 June 2022 at 11:06 UTC.
The requested start date was Thursday, 23 June 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, 9-hour, 55-minute period from Thursday, 09 June 2022 at 01:02 UTC to Wednesday, 22 June 2022 at 10:57 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:
[202] informe,diario [202] diario,#covid_19 [202] casos,nuevos [202] casos,activos [202] fallecidos,registrados [202] registrados,58 [194] ministeriosalud,informe [122] #covid_19,20 [122] 20,junio [122] junio,149 Top Word Pairs in Tweet in G1:
[196] informe,diario [196] diario,#covid_19 [196] casos,nuevos [196] casos,activos [196] fallecidos,registrados [196] registrados,58 [194] ministeriosalud,informe [117] #covid_19,20 [117] 20,junio [117] junio,149 Top Word Pairs in Tweet in G2:
[78] 神経を壊すよう,プログラムされている [78] プログラムされている,nature [78] nature,新たな発見 [78] 新たな発見,sars [78] sars,ncov [78] ncov,2には [78] 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 [78] 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 [78] 凝集,し [78] し,神経細胞の Top Word Pairs in Tweet in G3:
[2] ic_lib,jeffbernard1 [2] rustyaway,navybrat59 [2] incytometry,sndhsbl [2] sndhsbl,jaisans [2] jaisans,usamriidca [2] usamriidca,debrammason1 [2] debrammason1,guardia56241490 [2] guardia56241490,trumpbangskids [2] trumpbangskids,chrisbbacon3 [2] chrisbbacon3,6lennybravo Top Word Pairs in Tweet in G5:
[30] legalnego,testu [30] testu,który [30] który,dokładnie [30] dokładnie,identyfikowałby [30] identyfikowałby,obecność [30] obecność,sars [30] sars,cov [30] cov,dokumentu [30] dokumentu,ponieważ [30] ponieważ,żadne Top Word Pairs in Tweet in G6:
[27] cdc,evidence [27] evidence,benefits [27] benefits,masks [27] masks,encompassing [27] encompassing,covers [27] covers,lot [27] lot,here's [26] dgurdasani1,cdc [26] here's,mor Top Word Pairs in Tweet in G8:
[22] sars,cov [9] 2019,ncov [5] covid,19 [5] 19,vaccine [5] sars,ncov [4] cov,の変異株について [4] の変異株について,第17報 [4] drml350phd,interesting [4] delta,variant [4] chadox1,ncov Top Word Pairs in Tweet in G10:
[6] abraarkaran,heard [6] heard,china [6] china,spending [6] spending,gdp [6] gdp,#zerocovid [6] #zerocovid,re [6] re,opened [6] opened,shanghai [6] shanghai,ferocious [6] ferocious,outbreak Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G6:
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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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: