The graph represents a network of 467 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 Monday, 16 May 2022 at 10:00 UTC.
The requested start date was Monday, 16 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, 8-hour, 45-minute period from Monday, 02 May 2022 at 00:41 UTC to Sunday, 15 May 2022 at 09:26 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 : 467
Unique Edges : 329
Edges With Duplicates : 371
Total Edges : 700
Number of Edge Types : 5
Replies to : 70
Mentions : 160
Tweet : 89
MentionsInRetweet : 224
Retweet : 157
Self-Loops : 100
Reciprocated Vertex Pair Ratio : 0.00694444444444444
Reciprocated Edge Ratio : 0.0137931034482759
Connected Components : 108
Single-Vertex Connected Components : 32
Maximum Vertices in a Connected Component : 38
Maximum Edges in a Connected Component : 75
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.00844
Graph Density : 0.00199887878982823
Modularity : 0.639365
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 467 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 Monday, 16 May 2022 at 10:00 UTC.
The requested start date was Monday, 16 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, 8-hour, 45-minute period from Monday, 02 May 2022 at 00:41 UTC to Sunday, 15 May 2022 at 09:26 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:
[163] sars,cov [78] covid,19 [52] scholars,portal [51] ç,æ [38] ãƒ,ム[31] æ,ÿæÿ [30] 新型コロナウイルス,sars [28] 感染,伝播性の増加や抗原性の変化が懸念される [28] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [27] 日本国内のba,2系統は感染拡大により変異し続けています Top Word Pairs in Tweet in G1:
[30] ç,æ [27] 日本国内のba,2系統は感染拡大により変異し続けています [27] 2系統は感染拡大により変異し続けています,下記の報告によると [27] 下記の報告によると,関東地方 [27] 関東地方,関西 [27] 関西,九州 [27] 九州,全国各地の3つのクラスターが確認できると [27] 全国各地の3つのクラスターが確認できると,感染 [27] 感染,伝播性の増加や抗原性の変化が懸念される [27] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス Top Word Pairs in Tweet in G2:
[57] covid,19 [52] scholars,portal [33] sars,cov [26] 2022,05 [26] articles,covid [26] 19,scholars [26] #covid19,#sarscov2 [26] portal,journals [20] portal,périodiques [13] nouvelle,recherche Top Word Pairs in Tweet in G3:
[4] cdc,2019 [4] 2019,ncov [4] ncov,time [4] time,pcr [4] pcr,diagnostic [4] diagnostic,panel [4] panel,confuse [4] confuse,influenza [4] influenza,sars [4] sars,cov Top Word Pairs in Tweet in G4:
[19] today,we've [19] we've,added [19] added,three [19] three,clades [19] clades,those [19] those,tracked [19] tracked,views [19] views,sars [19] sars,cov [19] cov,evolution Top Word Pairs in Tweet in G5:
[4] drkevinwmccair1,charlesrixey [4] charlesrixey,parsifaler [4] parsifaler,jjcouey [4] jjcouey,billybostickson [4] billybostickson,still_a_nerd [4] still_a_nerd,fynn_fan [4] fynn_fan,jikkykjj [4] jikkykjj,doctor_i_am_the [3] hear,anyone [3] anyone,claim Top Word Pairs in Tweet in G6:
[5] sars,ncov [4] independentsage,reicherstephen [4] reicherstephen,sgriffin_lab [4] sgriffin_lab,chrischirp [4] chrischirp,susanmichie [4] susanmichie,helenrsalisbury [4] helenrsalisbury,globalhlthtwit [4] globalhlthtwit,zubhaque [3] deepwokeagent,independentsage [3] zubhaque,deen Top Word Pairs in Tweet in G7:
[17] sintesi,recomanacions [17] recomanacions,tractament [17] sars,cov [17] cov,disponible [16] a_sisoalmirall,sintesi [16] tractament,farmacolã [16] farmacolã,gic [16] gic,infecciã [16] infecciã,sars Top Word Pairs in Tweet in G9:
[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 G10:
[13] #csif,nueva [13] nueva,actualización [13] actualización,20 [13] 20,procedimiento [13] procedimiento,actuación [13] actuación,sprl [13] sprl,frente [13] frente,sars [13] sars,cov [13] cov,medidas Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: