The graph represents a network of 8,865 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 Sunday, 08 August 2021 at 09:32 UTC.
The requested start date was Sunday, 08 August 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 3-day, 9-hour, 15-minute period from Saturday, 31 July 2021 at 03:11 UTC to Tuesday, 03 August 2021 at 12:26 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 : 8865
Unique Edges : 4017
Edges With Duplicates : 12002
Total Edges : 16019
Number of Edge Types : 5
Retweet : 5354
MentionsInRetweet : 5852
Tweet : 1261
Replies to : 1131
Mentions : 2421
Self-Loops : 1311
Reciprocated Vertex Pair Ratio : 0.00447941888619855
Reciprocated Edge Ratio : 0.00891888634446185
Connected Components : 1409
Single-Vertex Connected Components : 442
Maximum Vertices in a Connected Component : 2083
Maximum Edges in a Connected Component : 5490
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.374473
Graph Density : 0.000105587523237654
Modularity : 0.53178
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,865 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 Sunday, 08 August 2021 at 09:32 UTC.
The requested start date was Sunday, 08 August 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 3-day, 9-hour, 15-minute period from Saturday, 31 July 2021 at 03:11 UTC to Tuesday, 03 August 2021 at 12:26 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:
[765] covid,19 [588] #新型コロナウイルス,感染症情報 [580] ibaraki_kouhou,#新型コロナウイルス [500] 8月6日,金 [432] 県独自の緊急事態宣言を発令,新型コロナウイルスの感染が拡大していることから [432] 新型コロナウイルスの感染が拡大していることから,8月6日 [432] 金,から19日 [432] から19日,木 [432] 木,まで県独自の [432] まで県独自の,緊急事態宣言 Top Word Pairs in Tweet in G1:
[581] #新型コロナウイルス,感染症情報 [575] ibaraki_kouhou,#新型コロナウイルス [496] 8月6日,金 [428] 県独自の緊急事態宣言を発令,新型コロナウイルスの感染が拡大していることから [428] 新型コロナウイルスの感染が拡大していることから,8月6日 [428] 金,から19日 [428] から19日,木 [428] 木,まで県独自の [428] まで県独自の,緊急事態宣言 [428] 緊急事態宣言,を発令します Top Word Pairs in Tweet in G2:
[153] covid,19 [81] 19,vaccines [70] #covid19,vaccine [54] 12,schools [49] #covid19,vaccines [44] much,know [44] know,covid [44] #covid19,cases [43] take,#covid19 [43] vaccine,quiz Top Word Pairs in Tweet in G3:
[116] covid,19 [89] 2019,ncov [58] cases,increase [58] ncov,recombinomics [58] recombinomics,inc [57] covid,cases [27] chadox1,ncov [26] ncov,19 [25] fully,vaccinated [23] 19,vaccine Top Word Pairs in Tweet in G4:
[327] 参考までに,いまのところ [327] いまのところ,厚労省でもcdcでも [327] 厚労省でもcdcでも,抗体形成を鈍らせる可能性があるとのことで解熱剤の予防投与は推奨されていませんので [326] kkkkkkooookk,参考までに [4] ibaraki_kouhou,#新型コロナウイルス [4] #新型コロナウイルス,感染症情報 [2] 本日の死亡者数,1名 [2] 1名,現在の入院者数 [2] うち重症者数,6名 [2] 6名,また Top Word Pairs in Tweet in G5:
[196] の新型コロナウイルス感染症の情報,新規感染者数 [196] 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 [108] 7月31日,土 [108] 土,の新型コロナウイルス感染症の情報 [108] 新規感染者数,792人 [108] 792人,詳細データについてはこちらからご覧ください [107] chibaken_kouhou,7月31日 [105] 対策本部会議で決定した内容についてまとめました,中等症が増加 [105] 中等症が増加,重症者の増加の兆候 [105] 重症者の増加の兆候,病床の確保状況 Top Word Pairs in Tweet in G6:
[194] 新型コロナに感染して自宅療養する方に対する情報です,自宅療養者向けハンドブック [194] 自宅療養者向けハンドブック,東京icdc専門家ボード [194] 東京icdc専門家ボード,cdcの自宅療養者向け情報 [193] kosuke_yasukawa,新型コロナに感染して自宅療養する方に対する情報です [16] の茨城県,新規感染者は [12] 死亡は,1人 [10] 8月1日,日 [10] 日,の茨城県 [10] 新規感染者は,202人 [10] 202人,過去2番目の多さ Top Word Pairs in Tweet in G7:
[73] sars,cov [69] 感染,伝播性の増加や抗原性の変化が懸念される新型コロナウイルス [69] 伝播性の増加や抗原性の変化が懸念される新型コロナウイルス,sars [69] cov,の新規変異株について [69] の新規変異株について,第10報 [68] influenzer3,感染 [49] 中澤さん,オリンピックお祭り騒ぎの開放感を抑えて [49] オリンピックお祭り騒ぎの開放感を抑えて,補償とともに広く休業要請をすれば [49] 補償とともに広く休業要請をすれば,1回目の緊急事態宣言と同じくらいの接触減が起こって3週間くらいで効果が出るはずだが [48] jun_makino,中澤さん Top Word Pairs in Tweet in G8:
[96] の広島県内の感染状況,本日の感染者はコチラ [96] 本日の感染者はコチラ,co [96] information,multiple [96] multiple,languages [96] languages,covid [96] covid,19 [92] hiroshima_pref,本日 [77] 本日,の広島県内の感染状況 [57] co,aynlae1ivh [57] aynlae1ivh,information Top Word Pairs in Tweet in G9:
[58] ventilación,natural [58] natural,importante [58] importante,reducir [58] reducir,riesgo [58] riesgo,contagio [58] contagio,#covid19 [58] #covid19,abre [58] abre,puertas [58] puertas,ventanas [58] ventanas,opuestas Top Word Pairs in Tweet in G10:
[4] rf121rf,omotforest [4] omotforest,plantmann_1 [4] plantmann_1,curfewx [4] curfewx,geoffschuler [4] geoffschuler,mstrixter [4] mstrixter,meritocracy_ftw [4] meritocracy_ftw,sciencenfreedom [4] sciencenfreedom,formerantivax [4] formerantivax,zabong69 [4] zabong69,michael63746953 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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: