The graph represents a network of 6,003 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 Friday, 26 August 2022 at 09:19 UTC.
The requested start date was Friday, 26 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, 6-hour, 21-minute period from Sunday, 21 August 2022 at 06:05 UTC to Thursday, 25 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 : 6003
Unique Edges : 5594
Edges With Duplicates : 12857
Total Edges : 18451
Number of Edge Types : 5
Retweet : 4081
MentionsInRetweet : 6322
Tweet : 719
Replies to : 2890
Mentions : 4439
Self-Loops : 781
Reciprocated Vertex Pair Ratio : 0.0435525192143467
Reciprocated Edge Ratio : 0.0834697217675941
Connected Components : 493
Single-Vertex Connected Components : 182
Maximum Vertices in a Connected Component : 3512
Maximum Edges in a Connected Component : 13116
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.348785
Graph Density : 0.000271329402498573
Modularity : 0.409965
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,003 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 Friday, 26 August 2022 at 09:19 UTC.
The requested start date was Friday, 26 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, 6-hour, 21-minute period from Sunday, 21 August 2022 at 06:05 UTC to Thursday, 25 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:
[527] covid,19 [393] 本日の退院,退所等者数 [393] 詳細,co [387] ibaraki_kouhou,#新型コロナウイルス感染症情報 [310] co,qnzux8c1 [302] informe,diario [302] diario,#covid_19 [302] casos,nuevos [302] casos,activos [302] fallecidos,registrados Top Word Pairs in Tweet in G1:
[65] ah,ah [60] _2019_ncov,nathalieloiseau [34] tycrumble35,_2019_ncov [32] ils,sont [32] ils,ont [31] _2019_ncov,c'est [27] _2019_ncov,ce [19] peut,être [18] _2019_ncov,ils [18] _2019_ncov,peuple Top Word Pairs in Tweet in G2:
[254] _2019_ncov,kittylt [211] free_nd_healthy,_2019_ncov [198] kittylt,médias [198] médias,participent [198] participent,oui [198] oui,voici [198] voici,montre [198] montre,mannequin [198] mannequin,réanimation [40] _2019_ncov,jeremiejanot Top Word Pairs in Tweet in G3:
[131] cdcgov,parents [126] parents,child [126] child,sick [126] sick,cough [126] cough,fever [126] fever,sore [126] sore,throat [126] throat,vomiting [126] vomiting,diarrhea [126] diarrhea,stay Top Word Pairs in Tweet in G4:
[292] 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 [292] 発熱外来に来た1624人の中で,陽性だったかどうか [292] 陽性だったかどうか,と言う訳の分からない研究 [292] と言う訳の分からない研究,こんな算出方法 [292] こんな算出方法,世界で前例ある [292] 世界で前例ある,あと世の中 [292] あと世の中,感染も発症も [292] 感染も発症も,有効率 [291] blanc0981,この研究は完全な詐欺の可能性大 [291] 有効率,とひとくくりに Top Word Pairs in Tweet in G5:
[155] の広島県内の感染状況,本日の感染者はコチラ [155] 本日の感染者はコチラ,co [155] information,multiple [155] multiple,languages [155] languages,covid [155] covid,19 [150] hiroshima_pref,本日 [97] の新型コロナウイルス感染症の情報,新規感染者数 [97] 詳細データについてはこちらからご覧ください,県ホームページの更新は翌日になります [81] co,aynlae1ivh Top Word Pairs in Tweet in G6:
[206] _2019_ncov,jattali [42] jattali,attali [37] _2019_ncov,yvespdb [31] yvespdb,jattali [20] sweetfanta72,_2019_ncov [18] lobservateurli2,_2019_ncov [17] quand,même [17] n'est,devin [17] écrit,plan [16] fabmej,_2019_ncov Top Word Pairs in Tweet in G7:
[68] 2019,ncov [65] covid,19 [55] cases,increase [55] ncov,recombinomics [55] recombinomics,inc [54] covid,cases [14] 19,vaccine [12] 2022,08 [10] chadox1,ncov [10] ncov,19 Top Word Pairs in Tweet in G8:
[81] booster,shot [81] covid,19 [80] shot,vaccines [80] vaccines,including [80] including,covid [80] 19,vaccine [80] vaccine,protection [80] protection,wear [80] wear,over [80] over,time Top Word Pairs in Tweet in G9:
[19] million,doses [9] cases,allergic [9] allergic,reactions [9] reactions,million [9] doses,clots [9] clots,million [9] doses,adeno [9] adeno,vaccine [9] death,rate [9] 0026,normal Top Word Pairs in Tweet in G10:
[302] informe,diario [302] diario,#covid_19 [302] casos,nuevos [302] casos,activos [302] fallecidos,registrados [297] ministeriosalud,informe [151] nuevos,41 [86] #covid_19,22 [86] 22,agosto [86] agosto,767 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: