The graph represents a network of 6,743 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 June 2022 at 09:39 UTC.
The requested start date was Monday, 13 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 6-day, 5-hour, 15-minute period from Monday, 06 June 2022 at 07:07 UTC to Sunday, 12 June 2022 at 12:23 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 : 6743
Unique Edges : 5585
Edges With Duplicates : 16066
Total Edges : 21651
Number of Edge Types : 5
Retweet : 4645
MentionsInRetweet : 7642
Mentions : 6373
Replies to : 1965
Tweet : 1026
Self-Loops : 1077
Reciprocated Vertex Pair Ratio : 0.0360876558102131
Reciprocated Edge Ratio : 0.0696613951683322
Connected Components : 678
Single-Vertex Connected Components : 240
Maximum Vertices in a Connected Component : 4453
Maximum Edges in a Connected Component : 18212
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.109178
Graph Density : 0.000226720279439398
Modularity : 0.415058
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,743 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 June 2022 at 09:39 UTC.
The requested start date was Monday, 13 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 6-day, 5-hour, 15-minute period from Monday, 06 June 2022 at 07:07 UTC to Sunday, 12 June 2022 at 12:23 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 : 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:
[944] covid,19 [833] médicos,investigan [833] investigan,encanta [833] encanta,criticar [833] criticar,hacemos [833] hacemos,tenemos [833] tenemos,hacer [832] rssol64860963,médicos [464] うち重症者数,0名 [464] 詳細は,co Top Word Pairs in Tweet in G1:
[69] armes,peuvent [69] peuvent,entrer [69] entrer,ukraine [69] ukraine,par [69] par,tonnes [69] tonnes,pourquoi [69] pourquoi,céréales [69] céréales,peuvent [69] peuvent,elles [69] elles,sortir Top Word Pairs in Tweet in G2:
[829] médicos,investigan [829] investigan,encanta [829] encanta,criticar [829] criticar,hacemos [829] hacemos,tenemos [829] tenemos,hacer [828] rssol64860963,médicos [59] chadox1,ncov [59] ncov,19 [54] development,severe Top Word Pairs in Tweet in G3:
[295] covid,19 [226] #covid19,vaccine [151] years,older [149] cdc,recommends [143] parents,caregivers [143] vaccine,boosters [143] protected,best [142] cdcgov,parents [141] best,covid [133] cdcgov,cdc Top Word Pairs in Tweet in G4:
[204] fareseljediani,patrickrovit [153] jeanefbey2,eclemence [145] patrickrovit,jeanefbey2 [101] cerise_philippe,den_pero [94] den_pero,yvespdb [94] yvespdb,naphtalinelebon [92] naphtalinelebon,jlambeaux [92] jlambeaux,avocatdupeuple [91] eclemence,kavuncuromain [86] _2019_ncov,cerise_philippe Top Word Pairs in Tweet in G5:
[4] albowers1,willard1951 [4] isthisnetaken,itisjustmebabe [4] itisjustmebabe,diar380 [4] diar380,realshocks [3] 66,countries [3] 30,494 [3] feb,21 [3] risk,covid [3] newsouthphoto,kath2cats [3] kath2cats,volpiranyas Top Word Pairs in Tweet in G6:
[132] covid,19 [21] 2022,06 [20] scholars,portal [16] learn,more [15] sars,cov [12] 19,vaccine [12] 2019,ncov [12] 국내,발생 [11] chadox1,ncov [11] ncov,19 Top Word Pairs in Tweet in G7:
[169] 重要お知らせ,6月12日午前12時1分 [169] 6月12日午前12時1分,米国東部夏時間 [169] 米国東部夏時間,以降に出発する [169] 以降に出発する,#米国 [169] #米国,行きのフライトに搭乗する渡航者は [169] 行きのフライトに搭乗する渡航者は,搭乗前に [169] 搭乗前に,#covid19検査 [169] #covid19検査,の陰性証明または回復証明の提示が不要となります [169] の陰性証明または回復証明の提示が不要となります,詳細は [169] 詳細は,#cdc Top Word Pairs in Tweet in G8:
[85] long,covid [51] completely,omits [51] omits,discussion [51] discussion,long [51] covid,risks [51] risks,both [51] both,mild [51] mild,acute [51] acute,infections [51] infections,despite Top Word Pairs in Tweet in G9:
[18] assocovid,medic4allhuman [15] l'oms,prévoit [15] prévoit,d'avoir [15] d'avoir,10 [15] 10,ans [15] ans,pandémies [15] pandémies,2020 [15] 2020,2030 [15] 2030,preuve [15] preuve,pandémie Top Word Pairs in Tweet in G10:
[78] オンタリオ州の公開資料の中に,魔の2週間 [78] 魔の2週間,データあり [78] データあり,1回目 [78] 1回目,で強烈にコロナ入院増え [78] で強烈にコロナ入院増え,3回目 [78] 3回目,でまたコロナ入院増え [78] でまたコロナ入院増え,治験でも政府統計でも [78] 治験でも政府統計でも,ここが未接種 [78] ここが未接種,未ブースター扱い [77] j_sato,オンタリオ州の公開資料の中に Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G8:
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 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 G3:
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Top Tweeters in G10: