The graph represents a network of 627 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, 26 May 2022 at 11:06 UTC.
The requested start date was Thursday, 26 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, 18-minute period from Thursday, 12 May 2022 at 00:19 UTC to Wednesday, 25 May 2022 at 09:37 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 : 627
Unique Edges : 382
Edges With Duplicates : 481
Total Edges : 863
Number of Edge Types : 5
Retweet : 201
MentionsInRetweet : 240
Tweet : 81
Replies to : 101
Mentions : 240
Self-Loops : 93
Reciprocated Vertex Pair Ratio : 0.00545454545454545
Reciprocated Edge Ratio : 0.0108499095840868
Connected Components : 121
Single-Vertex Connected Components : 26
Maximum Vertices in a Connected Component : 136
Maximum Edges in a Connected Component : 273
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 1.928727
Graph Density : 0.0014089100182929
Modularity : 0.632496
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 627 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, 26 May 2022 at 11:06 UTC.
The requested start date was Thursday, 26 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, 18-minute period from Thursday, 12 May 2022 at 00:19 UTC to Wednesday, 25 May 2022 at 09:37 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:
[137] 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 [137] という声が一部あるようですので,参考まで [137] 参考まで,マスク単独で予防できない [137] マスク単独で予防できない,マスク効果なし [137] マスク効果なし,というのも不正確 [137] というのも不正確,複数の対策 [137] 複数の対策,ワクチン [137] ワクチン,換気等々 [137] 換気等々,と組み合わせると [137] 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:
[137] 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 [137] という声が一部あるようですので,参考まで [137] 参考まで,マスク単独で予防できない [137] マスク単独で予防できない,マスク効果なし [137] マスク効果なし,というのも不正確 [137] というのも不正確,複数の対策 [137] 複数の対策,ワクチン [137] ワクチン,換気等々 [137] 換気等々,と組み合わせると [137] 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 G3:
[6] sars,cov [3] today,we've [3] we've,added [3] added,three [3] three,clades [3] clades,those [3] those,tracked [3] tracked,views [3] views,sars [3] cov,evolution Top Word Pairs in Tweet in G4:
[52] covid,19 [48] scholars,portal [29] 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 G6:
[4] independentsage,reicherstephen [4] reicherstephen,sgriffin_lab [4] sgriffin_lab,chrischirp [4] chrischirp,susanmichie [4] susanmichie,helenrsalisbury [4] helenrsalisbury,globalhlthtwit [4] globalhlthtwit,zubhaque [4] sars,ncov [3] deepwokeagent,independentsage [3] zubhaque,deen Top Word Pairs in Tweet in G8:
[13] 心筋炎を,全然心配する必要はない [13] 全然心配する必要はない,軽症 [13] 軽症,効果は1年持つ [13] 効果は1年持つ,など大デマ流した君が言っても何も響かない [13] など大デマ流した君が言っても何も響かない,未接種者ウイルス排出量 [13] 未接種者ウイルス排出量,期間 [13] 期間,は感染研資料を参照して下さい [13] は感染研資料を参照して下さい,co [13] co,uto3omqqy1 [12] z8zlqj8yjefwai8,心筋炎を Top Word Pairs in Tweet in G9:
[8] sars,ncov [3] three,years [2] covid,19 [2] million,died [2] within,three [2] find,way Top Word Pairs in Tweet in G10:
[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:
Top Replied-To in G2:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: