The graph represents a network of 16,556 Twitter users whose recent tweets contained "COVID", 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, 21 February 2020 at 09:28 UTC.
The tweets in the network were tweeted over the 1-hour, 39-minute period from Friday, 21 February 2020 at 03:59 UTC to Friday, 21 February 2020 at 05:39 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 : 16556
Unique Edges : 16647
Edges With Duplicates : 3089
Total Edges : 19736
Number of Edge Types : 5
Retweet : 16135
Tweet : 1810
Mentions : 627
Replies to : 494
MentionsInRetweet : 670
Self-Loops : 1837
Reciprocated Vertex Pair Ratio : 0.000428291727851199
Reciprocated Edge Ratio : 0.000856216745153202
Connected Components : 1391
Single-Vertex Connected Components : 724
Maximum Vertices in a Connected Component : 13048
Maximum Edges in a Connected Component : 15748
Maximum Geodesic Distance (Diameter) : 38
Average Geodesic Distance : 11.391866
Graph Density : 5.96567672650537E-05
Modularity : 0.734284
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 16,556 Twitter users whose recent tweets contained "COVID", 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, 21 February 2020 at 09:28 UTC.
The tweets in the network were tweeted over the 1-hour, 39-minute period from Friday, 21 February 2020 at 03:59 UTC to Friday, 21 February 2020 at 05:39 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 : COVID
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:
[15611] covid,19 [6340] ต,ดเช [5163] 国内外での新型コロナウイルス,covid [5163] 2月22日,土 [5161] 19,の感染症拡大の防止のため [5115] の感染症拡大の防止のため,2月22日 [5114] 土,より [5114] 急なご案内となりご迷惑をおかけしますが,何卒ご理解お願いいたします [5114] 何卒ご理解お願いいたします,詳細はhpよりご確認ください [4968] サンリオピューロランド臨時休館のお知らせ,国内外での新型コロナウイルス Top Word Pairs in Tweet in G1:
[5106] 国内外での新型コロナウイルス,covid [5104] covid,19 [5104] 19,の感染症拡大の防止のため [5104] の感染症拡大の防止のため,2月22日 [5104] 2月22日,土 [5104] 土,より [5104] 急なご案内となりご迷惑をおかけしますが,何卒ご理解お願いいたします [5104] 何卒ご理解お願いいたします,詳細はhpよりご確認ください [4958] サンリオピューロランド臨時休館のお知らせ,国内外での新型コロナウイルス [4956] より,臨時休館とさせていただきます Top Word Pairs in Tweet in G2:
[5024] ต,ดเช [4167] covid,19 [3241] อ,covid [2068] ดเช,อ [2055] พบผ,ต [1526] ดเช,อรายท [1526] อรายท,31 [1286] #ผ,ต [1195] น,ท [1194] ดเช,อเป Top Word Pairs in Tweet in G3:
[480] covid,19 [25] 19,coronavirus [23] coronavirus,covid [21] #covid,19 [15] diamond,princess [13] cruise,ship [13] transcript,smoking [13] smoking,gun [13] gun,bombshell [13] bombshell,interview Top Word Pairs in Tweet in G4:
[899] covid,19 [708] อ,covid [662] ดเช,อ [588] #โคว,ด19 [582] น,ท [541] เส,ยช [541] ยช,ว [540] #coronavirus,#coronavirusoutbreak [537] ป,วยต [537] วยต,ดเช Top Word Pairs in Tweet in G5:
[273] 深圳市第三人民医院において新型コロナウイルス感染症covid,19と診断された小児34例 [273] 19と診断された小児34例,年齢中央値8歳11ヶ月 [273] 年齢中央値8歳11ヶ月,の解析 [273] の解析,重症例 [273] 重症例,重篤例はゼロ [273] 重篤例はゼロ,全員が回復 [273] 全員が回復,zhonghua [273] zhonghua,ke [273] ke,za [273] za,zhi Top Word Pairs in Tweet in G6:
[566] covid,19 [393] นธ,ใหม [393] ใหม,2019 [391] #ไวร,สโคโรนาสายพ [391] สโคโรนาสายพ,นธ [374] 2019,#covid19 [362] #covid19,#thaipbs [293] ย,นย [283] ดต,ออ [283] ออ,นตราย Top Word Pairs in Tweet in G7:
[617] นธ,ใหม [616] ไต,หว [310] น,เพ [309] #ไวร,สโคโรนาสายพ [309] สโคโรนาสายพ,นธ [309] ใหม,2019 [309] #ไวร,สโคโรน [308] ข,าวจากไต [308] าวจากไต,หว [308] หว,น Top Word Pairs in Tweet in G8:
[381] covid,19 [300] #โคว,ด19 [289] ล,าส [289] าส,ดจ [289] ดจ,นพบ [289] นพบ,anti [289] anti,covid [289] 19,แล [289] แล,วจ [289] วจ,าาาาา Top Word Pairs in Tweet in G9:
[322] covid,19 [279] ดต,ออ [279] ออ,นตราย [278] 19,เป [277] สธ,เตร [277] เตร,ยมประกาศ [277] ยมประกาศ,covid [277] เป,น [277] น,โรคต [277] โรคต,ดต Top Word Pairs in Tweet in G10:
[263] covid,19 [216] ต,ดเช [189] อ,covid [173] ดเช,อ [125] แก,ร [125] ร,ฐบาลส [125] ฐบาลส,งคโปร [125] งคโปร,ม [125] ม,การแจ [125] การแจ,งอ Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: