The graph represents a network of 2,978 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, 30 July 2021 at 10:02 UTC.
The requested start date was Friday, 30 July 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 Friday, 16 July 2021 at 01:28 UTC to Thursday, 29 July 2021 at 12:22 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 : 2978
Unique Edges : 1851
Edges With Duplicates : 2968
Total Edges : 4819
Number of Edge Types : 5
Replies to : 560
Mentions : 1943
Tweet : 340
Retweet : 860
MentionsInRetweet : 1116
Self-Loops : 367
Reciprocated Vertex Pair Ratio : 0.00689404934687954
Reciprocated Edge Ratio : 0.0136936936936937
Connected Components : 581
Single-Vertex Connected Components : 161
Maximum Vertices in a Connected Component : 475
Maximum Edges in a Connected Component : 1387
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.490774
Graph Density : 0.000313010898644702
Modularity : 0.586499
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,978 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, 30 July 2021 at 10:02 UTC.
The requested start date was Friday, 30 July 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 Friday, 16 July 2021 at 01:28 UTC to Thursday, 29 July 2021 at 12:22 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:
[1025] sars,cov [423] 2019,ncov [412] yani,gt [353] covid,19 [236] ncov,pcr [207] fda,influenza [207] influenza,yani [207] grip,ile [207] ile,covid [207] 19,yani Top Word Pairs in Tweet in G1:
[408] yani,gt [204] fda,influenza [204] influenza,yani [204] gt,grip [204] grip,ile [204] ile,covid [204] covid,19 [204] 19,yani [204] gt,corona'yı [204] corona'yı,ayırt Top Word Pairs in Tweet in G2:
[22] sars,cov [9] phase,single [9] single,blind [9] blind,randomised [9] randomised,controlled [9] controlled,trial [9] trial,five [9] five,trial [9] trial,sites [9] sites,uk Top Word Pairs in Tweet in G3:
[145] sars,cov [109] cdcgov,longer [109] close,contact [102] good,news [102] news,cdcgov [102] longer,mentions [102] mentions,close [102] contact,discussion [102] discussion,sars [102] cov,spreads Top Word Pairs in Tweet in G4:
[164] sars,cov [53] 2019,ncov [29] coronavirus,2019 [28] novel,coronavirus [27] 2019,novel [27] ncov,time [27] pcr,diagnostic [26] time,pcr [25] covid,19 [25] cdc,2019 Top Word Pairs in Tweet in G5:
[4] bobbie1445,c23662 [4] deweywoodz,sam34_18 [4] blondjewels,pittsburgbitch [4] pittsburgbitch,kennyletter3 [4] kennyletter3,hellboyishere1 [4] hellboyishere1,mysaltyballs69 [4] mysaltyballs69,buddyholly1969 [4] buddyholly1969,chopwontstop [4] chopwontstop,jimscileppi [4] jo3yvee,lordstanley2019 Top Word Pairs in Tweet in G6:
[41] これはpcr検査をもうやらないよ,というわけではない [41] というわけではない,先程のサイトでcdcは他のfdaの承認を受けた検査法 [41] 先程のサイトでcdcは他のfdaの承認を受けた検査法,特にcdcはインフルエンザシーズンに向けてsars [41] 特にcdcはインフルエンザシーズンに向けてsars,cov [41] cov,2とインフルエンザa [41] 2とインフルエンザa,bを同時に検出できるようなリアルタイムrt [40] sukunabikona7,これはpcr検査をもうやらないよ [40] bを同時に検出できるようなリアルタイムrt,pc [17] しかし,少なくとも世界規模においては [17] 少なくとも世界規模においては,hiv患者はcovid Top Word Pairs in Tweet in G7:
[8] amzieaa,nbcnews [5] sars,cov [5] momonamission30,bowenjp [5] bowenjp,amzieaa [5] erichhartmann,momonamission30 [4] hyperboliclens,trishthedish_7 [4] trishthedish_7,mamasaurusmeg [4] mamasaurusmeg,erichhartmann [4] fine,droplets [3] boutros555,bowenjp Top Word Pairs in Tweet in G8:
[6] growing,body [6] body,evidence [6] evidence,indicates [6] indicates,people [6] people,fully [6] fully,vaccinated [6] vaccinated,mrna [6] mrna,vaccine [6] transmit,sars [6] sars,cov Top Word Pairs in Tweet in G9:
[52] times,first [52] first,dose [29] systemic,side [29] side,effects [28] effects,more [28] more,common [28] common,times [27] sars,cov [26] dose,chadox1 [26] chadox1,ncov Top Word Pairs in Tweet in G10:
[42] transmission,sars [42] sars,cov [42] cov,inhalation [42] inhalation,virus [42] virus,air [42] air,farther [42] farther,six [42] six,feet [42] feet,infectious [42] infectious,source Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: