The graph represents a network of 8,031 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 Thursday, 06 May 2021 at 11:02 UTC.
The requested start date was Thursday, 06 May 2021 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 2-day, 20-hour, 3-minute period from Sunday, 02 May 2021 at 16:26 UTC to Wednesday, 05 May 2021 at 12:30 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 : 8031
Unique Edges : 3624
Edges With Duplicates : 12664
Total Edges : 16288
Number of Edge Types : 5
Replies to : 1042
Tweet : 1333
Retweet : 5207
MentionsInRetweet : 5877
Mentions : 2829
Self-Loops : 1356
Reciprocated Vertex Pair Ratio : 0.00589699908268903
Reciprocated Edge Ratio : 0.0117248566961959
Connected Components : 1271
Single-Vertex Connected Components : 483
Maximum Vertices in a Connected Component : 3576
Maximum Edges in a Connected Component : 9554
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.550966
Graph Density : 0.000119028180495474
Modularity : 0.483416
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,031 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 Thursday, 06 May 2021 at 11:02 UTC.
The requested start date was Thursday, 06 May 2021 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 2-day, 20-hour, 3-minute period from Sunday, 02 May 2021 at 16:26 UTC to Wednesday, 05 May 2021 at 12:30 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:
[754] covid,19 [584] 新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法,4月30日 [584] 4月30日,国立感染症研究所 [583] earl_covid19_tw,新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法 [345] 水,感染状況等により対象の追加 [345] 感染状況等により対象の追加,期間の延長を行う場合があります [343] ibaraki_kouhou,新型コロナウイルス感染拡大市町村を追加します [343] 新型コロナウイルス感染拡大市町村を追加します,追加 [343] 追加,5市町 [343] 5市町,結城市 Top Word Pairs in Tweet in G1:
[146] #covid19,vaccines [138] #covid19,vaccination [136] everyone,lives [136] lives,within [136] within,miles [136] miles,#covid19 [136] vaccination,site [136] site,easier [135] cdcgov,everyone [115] covid,19 Top Word Pairs in Tweet in G2:
[569] 新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法,4月30日 [569] 4月30日,国立感染症研究所 [568] earl_covid19_tw,新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法 [6] hrkz1985,新型コロナウイルス感染症患者が使用したリネン類等を扱う時の感染リスクと安全かつ効果的なクリーニング方法 [5] 新型コロナウイルス感染症における積極的疫学調査の結果について,第2回 [5] 第2回,2020年10月5日時点 [5] 2020年10月5日時点,暫定 [5] 暫定,12月1日公表 [5] 12月1日公表,国立感染症研究所 [5] 国立感染症研究所,発症時の症状として味覚障害5 Top Word Pairs in Tweet in G3:
[344] 水,感染状況等により対象の追加 [344] 感染状況等により対象の追加,期間の延長を行う場合があります [342] ibaraki_kouhou,新型コロナウイルス感染拡大市町村を追加します [342] 新型コロナウイルス感染拡大市町村を追加します,追加 [342] 追加,5市町 [342] 5市町,結城市 [342] 結城市,龍ケ崎市 [342] 龍ケ崎市,つくば市 [342] つくば市,八千代町 [342] 八千代町,利根町 Top Word Pairs in Tweet in G4:
[163] covid,19 [46] fully,vaccinated [41] learn,more [41] 2019,ncov [33] 19,vaccine [27] 19,vaccines [22] hashtag,2020 [22] 2020,#fwn [22] #fwn,#freeworldnews [22] #freeworldnews,#today Top Word Pairs in Tweet in G5:
[265] informe,actividad [264] sanidadgob,actualización [255] actualización,informe [241] actividad,#vacunación [241] #vacunación,españa [241] españa,cuadro [241] cuadro,mando [71] datos,#covid19 [59] frente,#covid19 [52] reducir,riesgo Top Word Pairs in Tweet in G6:
[114] の新型コロナウイルス感染症の情報,新規感染者数 [114] 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 [69] なお,配分については第4クールは希望数に比例して配分 [69] 配分については第4クールは希望数に比例して配分,第5クールからは希望数に加え各市町村の高齢者人口に比例して配分しています [69] 第5クールからは希望数に加え各市町村の高齢者人口に比例して配分しています,添付画像が見づらい方はこちらをhttps [69] 添付画像が見づらい方はこちらをhttps,co [69] co,rbwqykq6va [69] rbwqykq6va,市町村別の配分数はこちら [68] kumagai_chiba,なお [41] 妊婦の接種について,米国では現時点で約10万人の妊婦がコロナワクチンを接種してv Top Word Pairs in Tweet in G7:
[163] แนบ,ref [163] ref,จาก [163] จาก,cdc [162] ascalon_dnity,แนบ Top Word Pairs in Tweet in G8:
[22] burgerlab12,numbers_truth [22] angelifrankie,ds13_manon [22] ds13_manon,bryanvilleneuve [22] bryanvilleneuve,carolhakios [22] carolhakios,jamie83107302 [22] cjbowden1,kathmarval [22] kathmarval,_drcjm_ [22] _drcjm_,lilelectronblue [21] kstateturk,chris_f_carson [21] numbers_truth,nycweatherrepor Top Word Pairs in Tweet in G9:
[83] 本日,の広島県内の感染状況 [83] の広島県内の感染状況,本日の感染者はコチラ [83] information,multiple [83] multiple,languages [83] languages,covid [83] covid,19 [79] hiroshima_pref,本日 [74] 本日の感染者はコチラ,co [73] 感染拡大を防止するためには,人と人との接触を広く全般に遮断する [73] 人と人との接触を広く全般に遮断する,陽性者との個別の接触を遮断するの２つの方法しかありません Top Word Pairs in Tweet in G10:
[44] evolución,variantes [44] variantes,circulantes [44] circulantes,fecha [44] fecha,chile [44] chile,datos [44] datos,gisaid [44] gisaid,ispch [44] ispch,genomascgc [44] genomascgc,aumento [43] lalopangue,evolución 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 G8:
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:
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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: