The graph represents a network of 6,164 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 Wednesday, 01 June 2022 at 08:53 UTC.
The requested start date was Wednesday, 01 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 4-day, 18-hour, 54-minute period from Thursday, 26 May 2022 at 17:32 UTC to Tuesday, 31 May 2022 at 12:27 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 : 6164
Unique Edges : 7857
Edges With Duplicates : 15654
Total Edges : 23511
Number of Edge Types : 5
Retweet : 4432
MentionsInRetweet : 9897
Replies to : 2450
Mentions : 6013
Tweet : 719
Self-Loops : 775
Reciprocated Vertex Pair Ratio : 0.0380314960629921
Reciprocated Edge Ratio : 0.0732761890313282
Connected Components : 460
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 4711
Maximum Edges in a Connected Component : 21451
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5.97544
Graph Density : 0.000347023954366258
Modularity : 0.452063
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,164 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 Wednesday, 01 June 2022 at 08:53 UTC.
The requested start date was Wednesday, 01 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 4-day, 18-hour, 54-minute period from Thursday, 26 May 2022 at 17:32 UTC to Tuesday, 31 May 2022 at 12:27 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:
[3926] let's,wait [3926] wait,see [1000] sars,cov [979] virus,let's [979] see,ncov [979] ncov,let's [979] see,sars [979] cov,let's [979] see,alpha [979] alpha,let's Top Word Pairs in Tweet in G1:
[101] _2019_ncov,ça [87] 6_scala,_2019_ncov [81] ça,date [81] date,d'hier [76] marionmarechal,gdarmanin [75] _2019_ncov,j'ai [72] ladynavylyley,_2019_ncov [69] j'ai,regardé [68] regardé,4h [68] 4h,cette Top Word Pairs in Tweet in G2:
[3766] let's,wait [3766] wait,see [939] virus,let's [939] see,ncov [939] ncov,let's [939] see,sars [939] sars,cov [939] cov,let's [939] see,alpha [939] alpha,let's Top Word Pairs in Tweet in G3:
[221] hosting,summer [221] summer,gathering [221] gathering,outside [221] outside,best [221] best,inside [221] inside,open [221] open,doors [221] doors,windows [221] windows,run [221] run,portable Top Word Pairs in Tweet in G4:
[243] jgalt485,yvespdb [239] medic4allhuman,mmtchi [231] jeanyvescapo,55bellechasse [229] 55bellechasse,lebalou90 [224] jlesgards,medic4allhuman [219] yvespdb,jeanyvescapo [204] lebalou90,allanicfabian [203] allanicfabian,jlesgards [182] mmtchi,borowskimike [171] borowskimike,houdiakova Top Word Pairs in Tweet in G5:
[187] _2019_ncov,jaimehorta17 [187] jaimehorta17,el_dic_tator [180] el_dic_tator,secretwar_ [175] secretwar_,yvespdb [175] yvespdb,papanours60 [145] tout,dit [139] dit,entièrement [139] entièrement,d'accord [139] d'accord,lui [139] lui,_2019_ncov Top Word Pairs in Tweet in G6:
[349] 詳細は,co [343] ibaraki_kouhou,#新型コロナウイルス感染症情報 [278] うち重症者数,0名 [278] co,0iqvdzsuud [278] 0iqvdzsuud,検査前で症状がある方 [219] 検査前で症状がある方,検査で陽性と判明した方 [213] 検査で陽性と判明した方,濃厚 [146] 0名,詳細は [146] 2名,詳細は [132] 0名,本日の死亡者数 Top Word Pairs in Tweet in G7:
[110] covid,19 [65] 2019,ncov [59] cases,increase [59] ncov,recombinomics [59] recombinomics,inc [57] covid,cases [19] chadox1,ncov [19] ncov,19 [17] learn,more [16] 2022,05 Top Word Pairs in Tweet in G8:
[91] jordanbpeterson,justintrudeau [56] unvaccinated,canadians [55] trudymatusiak,jordanbpeterson [55] justintrudeau,whatever [55] whatever,think [55] think,trudeau [55] trudeau,alter [55] alter,laws [55] laws,unvaccinated [54] kristatee,trudymatusiak Top Word Pairs in Tweet in G9:
[92] adverse,events [50] 19,vaccine [48] covid,19 [45] golden_pup,covid [45] vaccine,adverse [45] events,ontario [45] ontario,22 [45] 22,161 [45] 161,adverse [45] events,reported Top Word Pairs in Tweet in G10:
[18] yr,olds [17] risk,getting [17] getting,covid [17] covid,hospitalization [17] hospitalization,death [17] death,covid [17] covid,based [17] based,age [17] age,group [17] group,compared Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: