The graph represents a network of 5,988 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, 14 December 2022 at 09:55 UTC.
The requested start date was Wednesday, 14 December 2022 at 01:01 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, 12-hour, 27-minute period from Tuesday, 06 December 2022 at 23:58 UTC to Tuesday, 13 December 2022 at 12:25 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 : 5988
Unique Edges : 9656
Edges With Duplicates : 28406
Total Edges : 38062
Number of Edge Types : 5
Mentions : 20973
MentionsInRetweet : 9404
Replies to : 3721
Retweet : 3243
Tweet : 721
Self-Loops : 792
Reciprocated Vertex Pair Ratio : 0.0413523131672598
Reciprocated Edge Ratio : 0.0794204087212084
Connected Components : 541
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 2941
Maximum Edges in a Connected Component : 32030
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.864086
Graph Density : 0.000408115378912159
Modularity : 0.308742
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,988 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, 14 December 2022 at 09:55 UTC.
The requested start date was Wednesday, 14 December 2022 at 01:01 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, 12-hour, 27-minute period from Tuesday, 06 December 2022 at 23:58 UTC to Tuesday, 13 December 2022 at 12:25 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:
[969] æ,æ [715] jlmelenchon,didiermaisto [708] didiermaisto,zemmoureric [659] zemmoureric,j_bardella [536] j_bardella,emmanuelmacron [472] crashdebug_fr,jlmelenchon [427] æ,ÿæÿ [410] æœ,æ [382] emmanuelmacron,royalsegolene [380] covid,19 Top Word Pairs in Tweet in G1:
[290] _2019_ncov,bfmtv [80] bfmtv,gg_rmc [80] gg_rmc,tpmp [79] sert,rien [72] ah,ah [64] _2019_ncov,ljacouille [59] lesbebenous12,_2019_ncov [53] _2019_ncov,lci [46] _2019_ncov,non [44] lexquismot,_2019_ncov Top Word Pairs in Tweet in G2:
[702] jlmelenchon,didiermaisto [695] didiermaisto,zemmoureric [649] zemmoureric,j_bardella [528] j_bardella,emmanuelmacron [463] crashdebug_fr,jlmelenchon [376] emmanuelmacron,royalsegolene [324] pandantag,crashdebug_fr [319] royalsegolene,idrissaberkane [318] elonmusk,realdonaldtrump [303] clem_autain,sandrousseau Top Word Pairs in Tweet in G3:
[202] spread,covid [202] reduce,spread [202] covid,abundant [202] fall,misinformation [202] abundant,crystal [202] masks,work [202] work,reduce [202] crystal,clear [202] misinformation,evidence [202] evidence,masks Top Word Pairs in Tweet in G4:
[87] available,vaccines [87] tool,easy [87] booster,eligibility [87] eligibility,timing [87] booster,tool [87] timing,available [87] #covid19,booster [61] cdc,booster [57] bivalent,#covid19 [57] updated,bivalent Top Word Pairs in Tweet in G5:
[119] 2019,ncov [101] cases,increase [101] recombinomics,inc [101] ncov,recombinomics [100] covid,cases [67] covid,19 [35] ãƒ,ム[21] ì,ë [20] æ,ÿæÿ [19] 2022,12 Top Word Pairs in Tweet in G6:
[11] 2019,ncov [8] cdc,use [8] test,developed [8] virus,isolates [8] isolates,2019 [8] quantified,virus [8] use,time [8] available,cdc [8] ncov,available [8] time,test Top Word Pairs in Tweet in G7:
[34] _2019_ncov,astrovicnet [28] 55bellechasse,basphilippe [28] basphilippe,yvespdb [27] yvespdb,alainhoupert [27] alainhoupert,jeanyvescapo [20] takeheight,_2019_ncov [18] verity_france,jgalt485 [18] jeanyvescapo,tvlcampagnol [18] tvlcampagnol,verity_france [17] jgalt485,upr_asselineau Top Word Pairs in Tweet in G8:
[209] æ,ÿæÿ [168] ãƒ,ム[166] æ,æ [137] information,multiple [137] covid,19 [137] multiple,languages [137] languages,covid [108] æœ,æ [87] ãƒ,æ [85] の広島県内の感染状況,本日の感染者はコチラ Top Word Pairs in Tweet in G9:
[107] leidet,unheilbaren [107] person,syndrome [107] nervenkrankheit,seit [107] unheilbaren,stiff [107] stiff,person [107] line,dion [107] cã,line [107] seit,jahr [107] autoimmun,nervenkrankheit [107] syndrome,autoimmun Top Word Pairs in Tweet in G10:
[735] æ,æ [294] æœ,æ [294] æ,œæÿ [215] 詳細,co [211] ibaraki_kouhou,#新型コロナウイルス感染症情報 [204] co,qnzux8c1z3 [147] åž,ム[147] ç,åœ [147] ˆã,ç [147] ペã,ムTop Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: