The graph represents a network of 17,789 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 Friday, 14 February 2020 at 03:01 UTC.
The tweets in the network were tweeted over the 1-day, 3-hour, 12-minute period from Wednesday, 12 February 2020 at 22:43 UTC to Friday, 14 February 2020 at 01:55 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 : 17789
Unique Edges : 18787
Edges With Duplicates : 4503
Total Edges : 23290
Number of Edge Types : 5
Replies to : 2251
Mentions : 2411
Retweet : 10495
MentionsInRetweet : 2926
Tweet : 5207
Self-Loops : 5288
Reciprocated Vertex Pair Ratio : 0.0041301935642954
Reciprocated Edge Ratio : 0.00822641046104733
Connected Components : 4249
Single-Vertex Connected Components : 2426
Maximum Vertices in a Connected Component : 6894
Maximum Edges in a Connected Component : 11408
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.201455
Graph Density : 5.14773008836575E-05
Modularity : 0.747546
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 17,789 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 Friday, 14 February 2020 at 03:01 UTC.
The tweets in the network were tweeted over the 1-day, 3-hour, 12-minute period from Wednesday, 12 February 2020 at 22:43 UTC to Friday, 14 February 2020 at 01:55 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:
[6414] 2019,ncov [2437] covid,19 [2100] ใช,ช [1347] coronavirus,2019 [1075] อ,2019 [1055] สอ,ฮ [1055] ฮ,น [1051] จ,งต [1050] ประกาศช,อไวร [1050] อไวร,สโคโรน Top Word Pairs in Tweet in G1:
[803] 2019,ncov [234] coronavirus,2019 [196] novel,coronavirus [190] sa,ncov [155] covid,19 [88] dahil,sa [84] 2019,novel [78] cash,valentines [59] ng,ncov [58] ncov,cash Top Word Pairs in Tweet in G2:
[2084] ใช,ช [1042] ประกาศช,อไวร [1042] อไวร,สโคโรน [1042] สโคโรน,าอย [1042] าอย,างเป [1042] างเป,นทางการค [1042] นทางการค,อ [1042] อ,covid [1042] covid,19 [1042] 19,เด Top Word Pairs in Tweet in G3:
[290] 2019,ncov [236] respiratory,illnesses [232] more,#covid19 [232] learn,more [231] help,prevent [230] prevent,spread [229] spread,respiratory [227] take,simple [227] simple,daily [227] daily,precautions Top Word Pairs in Tweet in G4:
[400] 2019,ncov [124] 000,cases [118] covid,19 [86] coronavirus,2019 [85] novel,coronavirus [65] cases,reported [62] incubation,period [60] learn,more [60] 14,day [60] #covid19,#coronavirusoutbreak Top Word Pairs in Tweet in G5:
[288] ncov,obohan [237] public,health [235] announcement,virus [235] prevention,huwag [235] sa,fb [234] health,announcement [234] virus,quickly [234] quickly,infecting [234] infecting,general [234] general,population Top Word Pairs in Tweet in G6:
[730] เป,น [730] ผ,ป [365] sunaibkk,ย [365] ย,งไม [365] งไม,ม [365] ม,ย [365] ย,นย [365] นย,นว [365] นว,าเป [365] าเป,นผ Top Word Pairs in Tweet in G7:
[120] 如果你最近从中国返回,请知晓2019新型冠状病毒的症状 [120] 请知晓2019新型冠状病毒的症状,其中包括轻度至重度的呼吸道疾病 [120] 其中包括轻度至重度的呼吸道疾病,症状为 [120] 症状为,发烧 [120] 发烧,咳嗽 [120] 咳嗽,呼吸困难 [120] 呼吸困难,参见 [104] 2019,ncov [81] ncov,#武汉肺炎 [81] #武汉肺炎,#who Top Word Pairs in Tweet in G8:
[162] 2019,ncov [96] 新型コロナウイルス,2019 [95] ncov,covid [95] covid,19 [95] 19,の重症管理に役立つコクランエビデンスを集めた特集号の日本語訳が完了しました [95] の重症管理に役立つコクランエビデンスを集めた特集号の日本語訳が完了しました,それぞれのコクランレビューのリンクは訳のあるものについては日本語表記されるリンクにしています [95] それぞれのコクランレビューのリンクは訳のあるものについては日本語表記されるリンクにしています,#covid_19 [95] #covid_19,#ncov_2019 [95] #ncov_2019,#coronavirusoutbreak [24] 新型コロナウイルス感染症を診る可能性のあるすべての医療者へ,ぜひ一読を Top Word Pairs in Tweet in G9:
[274] 2019,ncov [234] вирусом,2019 [125] заразившихся,вирусом [79] количество,заразившихся [79] ncov,превысило [79] превысило,60 [79] 60,300 [79] 300,человек [79] человек,369 [79] 369,умерло Top Word Pairs in Tweet in G10:
[211] gary,gindler [211] gindler,talks [211] talks,recent [211] recent,outbreak [211] outbreak,tds [211] tds,effects [211] effects,humanity [211] humanity,syndrome [211] syndrome,caused [211] caused,neuropathologic Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: