The graph represents a network of 6,119 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, 24 August 2022 at 08:56 UTC.
The requested start date was Wednesday, 24 August 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, 12-hour, 52-minute period from Thursday, 18 August 2022 at 23:34 UTC to Tuesday, 23 August 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 : 6119
Unique Edges : 5309
Edges With Duplicates : 13399
Total Edges : 18708
Number of Edge Types : 5
Replies to : 2562
Mentions : 3802
Retweet : 4461
MentionsInRetweet : 7180
Tweet : 703
Self-Loops : 762
Reciprocated Vertex Pair Ratio : 0.032804121543476
Reciprocated Edge Ratio : 0.0635243815534969
Connected Components : 513
Single-Vertex Connected Components : 177
Maximum Vertices in a Connected Component : 2268
Maximum Edges in a Connected Component : 10185
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.642247
Graph Density : 0.000262394192206537
Modularity : 0.41364
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,119 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, 24 August 2022 at 08:56 UTC.
The requested start date was Wednesday, 24 August 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, 12-hour, 52-minute period from Thursday, 18 August 2022 at 23:34 UTC to Tuesday, 23 August 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:
[542] covid,19 [395] 本日の退院,退所等者数 [395] 詳細,co [389] ibaraki_kouhou,#新型コロナウイルス感染症情報 [356] informe,diario [356] diario,#covid_19 [356] casos,nuevos [356] casos,activos [356] fallecidos,registrados [352] ministeriosalud,informe Top Word Pairs in Tweet in G1:
[69] _2019_ncov,lyliada20668858 [66] delavotc,_2019_ncov [61] 17,ans [61] avait,fait [60] lyliada20668858,nièce [60] nièce,17 [60] ans,avait [60] fait,doses [60] doses,cancer [60] cancer,général Top Word Pairs in Tweet in G2:
[246] repthomasmassie,cdcgov [246] cdcgov,quietly [246] quietly,deleting [246] deleting,misleading [246] misleading,information [246] information,website [246] website,following [246] following,statement [246] statement,removed [245] removed,thei Top Word Pairs in Tweet in G3:
[192] covid,19 [191] の広島県内の感染状況,本日の感染者はコチラ [191] 本日の感染者はコチラ,co [191] information,multiple [191] multiple,languages [191] languages,covid [185] hiroshima_pref,本日 [111] co,aynlae1ivh [111] aynlae1ivh,information [90] の新型コロナウイルス感染症の情報,新規感染者数 Top Word Pairs in Tweet in G4:
[287] この研究は完全な詐欺の可能性大,発熱外来に来た1624人の中で [287] 発熱外来に来た1624人の中で,陽性だったかどうか [287] 陽性だったかどうか,と言う訳の分からない研究 [287] と言う訳の分からない研究,こんな算出方法 [287] こんな算出方法,世界で前例ある [287] 世界で前例ある,あと世の中 [287] あと世の中,感染も発症も [287] 感染も発症も,有効率 [286] blanc0981,この研究は完全な詐欺の可能性大 [286] 有効率,とひとくくりに Top Word Pairs in Tweet in G5:
[238] _2019_ncov,kittylt [204] free_nd_healthy,_2019_ncov [190] kittylt,médias [190] médias,participent [190] participent,oui [190] oui,voici [190] voici,montre [190] montre,mannequin [190] mannequin,réanimation [36] _2019_ncov,jeremiejanot Top Word Pairs in Tweet in G6:
[206] _2019_ncov,jattali [43] jattali,attali [34] _2019_ncov,yvespdb [31] yvespdb,jattali [20] sweetfanta72,_2019_ncov [17] lobservateurli2,_2019_ncov [16] n'est,devin [16] écrit,plan [16] quand,même [15] attali,n'est Top Word Pairs in Tweet in G7:
[26] coordinateur,réponse [26] réponse,covid [26] covid,maison [26] maison,blanche [26] blanche,biden [26] biden,vient [26] vient,d'admettre [26] d'admettre,règle [26] règle,distance [26] distance,sociale Top Word Pairs in Tweet in G8:
[356] informe,diario [356] diario,#covid_19 [356] casos,nuevos [356] casos,activos [356] fallecidos,registrados [352] ministeriosalud,informe [147] nuevos,41 [142] #covid_19,19 [142] 19,agosto [142] agosto,11 Top Word Pairs in Tweet in G9:
[103] booster,shot [103] covid,19 [102] shot,vaccines [102] vaccines,including [102] including,covid [102] 19,vaccine [102] vaccine,protection [102] protection,wear [102] wear,over [102] over,time Top Word Pairs in Tweet in G10:
[5] 2019,ncov [4] kovidiots,atomskssanakan [4] msabouri,jonathansarfat1 [4] jonathansarfat1,jroschuk [4] real_seeking,takethatct [4] backwoodsohm,villagerssn [4] villagerssn,tickerguy [4] tickerguy,vaxed2damax [4] vaxed2damax,tmafkab [4] tmafkab,klaasvandijk5 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: