The graph represents a network of 599 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, 27 May 2022 at 10:13 UTC.
The requested start date was Friday, 27 May 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, 3-minute period from Friday, 13 May 2022 at 00:36 UTC to Thursday, 26 May 2022 at 09:39 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 : 599
Unique Edges : 302
Edges With Duplicates : 542
Total Edges : 844
Number of Edge Types : 5
Retweet : 188
MentionsInRetweet : 202
Mentions : 281
Replies to : 98
Tweet : 75
Self-Loops : 87
Reciprocated Vertex Pair Ratio : 0.00594059405940594
Reciprocated Edge Ratio : 0.0118110236220472
Connected Components : 116
Single-Vertex Connected Components : 25
Maximum Vertices in a Connected Component : 137
Maximum Edges in a Connected Component : 275
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 1.97954
Graph Density : 0.00141819420327078
Modularity : 0.59123
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 599 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, 27 May 2022 at 10:13 UTC.
The requested start date was Friday, 27 May 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, 3-minute period from Friday, 13 May 2022 at 00:36 UTC to Thursday, 26 May 2022 at 09:39 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:
[138] マスクのエビデンスが,という声が一部あるようですので [138] という声が一部あるようですので,参考まで [138] 参考まで,マスク単独で予防できない [138] マスク単独で予防できない,マスク効果なし [138] マスク効果なし,というのも不正確 [138] というのも不正確,複数の対策 [138] 複数の対策,ワクチン [138] ワクチン,換気等々 [138] 換気等々,と組み合わせると [138] と組み合わせると,感染に至る穴を防ぎやすいということ Top Word Pairs in Tweet in G1:
[138] マスクのエビデンスが,という声が一部あるようですので [138] という声が一部あるようですので,参考まで [138] 参考まで,マスク単独で予防できない [138] マスク単独で予防できない,マスク効果なし [138] マスク効果なし,というのも不正確 [138] というのも不正確,複数の対策 [138] 複数の対策,ワクチン [138] ワクチン,換気等々 [138] 換気等々,と組み合わせると [138] と組み合わせると,感染に至る穴を防ぎやすいということ Top Word Pairs in Tweet in G2:
[2] ic_lib,jeffbernard1 [2] david4677484957,alfred_statesx [2] rustyaway,navybrat59 [2] navybrat59,artyshouse [2] artyshouse,neilcharles1450 [2] neilcharles1450,thedvsmarcus [2] mrantiwoke,incytometry [2] incytometry,sndhsbl [2] sndhsbl,jaisans [2] jaisans,usamriidca Top Word Pairs in Tweet in G3:
[52] covid,19 [48] scholars,portal [27] sars,cov [24] 2022,05 [24] articles,covid [24] portal,périodiques [24] 19,scholars [24] #covid19,#sarscov2 [24] portal,journals [12] nouvelle,recherche Top Word Pairs in Tweet in G4:
[2] weaponised,ing [2] returned,ing [2] go,figure [2] pommedapie59,crimemind3 [2] aka,covid [2] outbreaks,#coronaviruses [2] #coronaviruses,mers [2] mers,sars [2] sars,person [2] person,person Top Word Pairs in Tweet in G7:
[10] sars,cov [4] genomic,epidemiology [4] epidemiology,sars [4] cov,pakistan [4] pakistan,courtesy [4] courtesy,citric [4] citric,center [4] center,bioinformatics [4] bioinformatics,akuglobal [4] akuglobal,waqasuddink Top Word Pairs in Tweet in G8:
[8] sars,ncov [3] three,years [2] covid,19 [2] million,died [2] within,three [2] find,way Top Word Pairs in Tweet in G9:
[3] covid,19 [2] whitey900,whykeepitup [2] whykeepitup,mattmcinnis6 [2] mattmcinnis6,breezergalway [2] breezergalway,jneill [2] jneill,yakkstack [2] yakkstack,honjonba [2] honjonba,spyvsspy20 [2] spyvsspy20,tracyjayney64 [2] tracyjayney64,cpho_canada Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: