The graph represents a network of 17,616 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 01 March 2020 at 20:42 UTC.
The tweets in the network were tweeted over the 3-hour, 34-minute period from Sunday, 01 March 2020 at 14:14 UTC to Sunday, 01 March 2020 at 17:48 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 : 17616
Unique Edges : 18785
Edges With Duplicates : 552
Total Edges : 19337
Number of Edge Types : 5
Retweet : 16500
Tweet : 1015
Mentions : 473
Replies to : 615
MentionsInRetweet : 734
Self-Loops : 1024
Reciprocated Vertex Pair Ratio : 0.000773480662983425
Reciprocated Edge Ratio : 0.00154576570608369
Connected Components : 895
Single-Vertex Connected Components : 453
Maximum Vertices in a Connected Component : 15100
Maximum Edges in a Connected Component : 16728
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.584269
Graph Density : 5.83746667481347E-05
Modularity : 0.766676
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 17,616 Twitter users whose recent tweets contained "NCoV", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 01 March 2020 at 20:42 UTC.
The tweets in the network were tweeted over the 3-hour, 34-minute period from Sunday, 01 March 2020 at 14:14 UTC to Sunday, 01 March 2020 at 17:48 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 : TwitterSearch
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:
[6546] 国立感染症研究所の中の方がまじおこだ,新型コロナウイルス感染症の積極的疫学調査に関する報道の事実誤認について [2873] マスコミや,テレビでデマを流布する自称 [2873] テレビでデマを流布する自称,感染症に詳しい [2873] 感染症に詳しい,医師に対して [2873] 医師に対して,とうとう国立感染症研究所がこの声明 [2873] とうとう国立感染症研究所がこの声明,激おこプンプン丸 [2873] 激おこプンプン丸,新型コロナウイルス感染症の積極的疫学調査に関する報道の事実誤認について [2493] general,public [2474] healthcare,providers [2467] people,stop Top Word Pairs in Tweet in G1:
[6227] 国立感染症研究所の中の方がまじおこだ,新型コロナウイルス感染症の積極的疫学調査に関する報道の事実誤認について Top Word Pairs in Tweet in G2:
[2727] マスコミや,テレビでデマを流布する自称 [2727] テレビでデマを流布する自称,感染症に詳しい [2727] 感染症に詳しい,医師に対して [2727] 医師に対して,とうとう国立感染症研究所がこの声明 [2727] とうとう国立感染症研究所がこの声明,激おこプンプン丸 [2727] 激おこプンプン丸,新型コロナウイルス感染症の積極的疫学調査に関する報道の事実誤認について [164] 国立感染症研究所の中の方がまじおこだ,新型コロナウイルス感染症の積極的疫学調査に関する報道の事実誤認について [3] 激おこの国立感染症研究所による,馬鹿は黙ってろ [3] 馬鹿は黙ってろ,ですかね Top Word Pairs in Tweet in G3:
[2444] general,public [2440] seriously,people [2440] people,stop [2440] stop,buying [2440] buying,masks [2440] masks,effective [2440] effective,preventing [2440] preventing,general [2440] public,catching [2440] catching,#coronavirus Top Word Pairs in Tweet in G4:
[730] サンモニやワイドショーのデマ報道に対して,ついに国立感染症研究所がキレたようです [473] といった趣旨の,事実と異なる内容の記事が散見されます [310] 報道すべき,緊急事態における誤報は重大な罪だと思う [310] 緊急事態における誤報は重大な罪だと思う,報道関係者の事実誤認 [310] 報道関係者の事実誤認,各種報道で [310] 各種報道で,検査件数を抑えることで感染者数を少なく見せかけようとしている [310] 検査件数を抑えることで感染者数を少なく見せかけようとしている,実態を見えなくするために検査拡大を拒んでいる [310] 実態を見えなくするために検査拡大を拒んでいる,といった趣旨の [225] 実態を見えなくするために,検査拡大を拒んでいる [166] 検査拡大を拒んでいる,といった趣旨の Top Word Pairs in Tweet in G5:
[579] みんな可能な限り,このツイート回してくれないか [579] このツイート回してくれないか,私も一応中の人だから [579] 私も一応中の人だから,お願い [579] お願い,感染研は嘘なんて言わない [579] 感染研は嘘なんて言わない,聞き心地のいい適当な報道なんか聞くなよ [579] 聞き心地のいい適当な報道なんか聞くなよ,人災をこれ以上広めるなよ [579] 人災をこれ以上広めるなよ,新型コロナウイルス感染症の積極的疫学調査に関する報道の事実誤認について [35] マスコミや,テレビでデマを流布する自称 [35] テレビでデマを流布する自称,感染症に詳しい [35] 感染症に詳しい,医師に対して Top Word Pairs in Tweet in G6:
[123] covid,19 [110] spread,rumors [107] good,#sundaymorning [107] #sundaymorning,week [107] week,#sundayspotlight [107] #sundayspotlight,#publichealth [107] #publichealth,focused [107] focused,sharing [107] sharing,facts [107] facts,#covid19 Top Word Pairs in Tweet in G7:
[70] 2019,ncov [51] covid,19 [18] 19,2019 [16] coronavirus,covid [15] coronavirus,2019 [14] novel,coronavirus [11] coronavirus,disease [11] disease,2019 [11] 2019,covid [10] prevention,treatment Top Word Pairs in Tweet in G8:
[139] seattleflustudy,case [139] case,wa2 [139] wa2,branch [139] branch,evolutionary [139] evolutionary,tree [139] tree,descends [139] descends,directly [139] directly,wa1 [139] wa1,first [139] first,reported Top Word Pairs in Tweet in G9:
[305] 자세히,보기 [259] 보기,#힘내라_대구경북 [259] #힘내라_대구경북,#힘내라_대한민국 [241] 코로나19,확진환자 [241] 확진환자,81 [241] 81,는 [241] 는,입원 [241] 입원,치료가 [241] 치료가,필요하지 [241] 필요하지,않은 Top Word Pairs in Tweet in G10:
[240] progression,coronavirus [240] coronavirus,2019 [240] 2019,ncov [240] depuis,janvier [240] janvier,2020 [189] time,lapse [189] lapse,progression [189] ncov,depuis [189] 2020,part [51] ncov,chine Top Replied-To in Entire Graph:
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 Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
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: