The graph represents a network of 5,592 Twitter users whose recent tweets contained "Coronavirus", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/29/2022 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 11:13 UTC.
The tweets in the network were tweeted over the 1079-day, 23-hour, 39-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Thursday, 29 December 2022 at 10:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 5592
Unique Edges : 2554
Edges With Duplicates : 9002
Total Edges : 11556
Number of Edge Types : 9
Retweet : 3546
MentionsInRetweet : 4177
Mentions : 357
Tweet : 1454
Replies to : 610
MentionsInReplyTo : 1279
Quote : 64
MentionsInQuote : 53
MentionsInQuoteReply : 16
Self-Loops : 1764
Reciprocated Vertex Pair Ratio : 0.0128934395145999
Reciprocated Edge Ratio : 0.0254586297266941
Connected Components : 1301
Single-Vertex Connected Components : 658
Maximum Vertices in a Connected Component : 1914
Maximum Edges in a Connected Component : 4680
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.830347
Graph Density : 0.000170862685764394
Modularity : 0.502517
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,592 Twitter users whose recent tweets contained "Coronavirus", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/29/2022 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 11:13 UTC.
The tweets in the network were tweeted over the 1079-day, 23-hour, 39-minute period from Tuesday, 14 January 2020 at 11:18 UTC to Thursday, 29 December 2022 at 10:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : Coronavirus
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:
[616] positive,coronavirus [598] tested,positive [593] flights,china [591] china,tested [590] italian,officials [529] spectatorindex,breaking [353] half,people [353] two,flights [352] people,two [351] officials,half Top Word Pairs in Tweet in G1:
[114] black,market [114] drugs,amid [114] covid,drugs [99] market,indian [99] surge,report [99] chinese,turning [99] amid,surge [99] indian,covid [99] turning,black [91] covid,19 Top Word Pairs in Tweet in G2:
[517] spectatorindex,breaking [321] half,people [321] tested,positive [321] two,flights [321] people,two [320] china,tested [320] italian,officials [320] flights,china [320] officials,half [320] positive,coronavirus Top Word Pairs in Tweet in G3:
[229] flights,china [229] italian,officials [229] china,tested [229] positive,coronavirus [229] tested,positive [227] passengers,flights [227] nearly,half [227] officials,samples [227] half,passengers [227] coronavirus,italian Top Word Pairs in Tweet in G4:
[198] dévoile,rapport [198] project_veritas,dévoile [198] murphy,ancien [198] joseph,murphy [198] major,joseph [198] rapport,major [198] ancien,membre [198] ecohealth,alliance [194] membre,darpa [194] darpa,ecohealth Top Word Pairs in Tweet in G5:
[60] 27時点,出所 [60] トリプルでコロナ禍最悪の数字となっています,救急搬送困難 [60] 厚労省まとめ,日本の直近1週間の人口あたりコロナ感染死者数世界最多 [60] 12,19 [60] 12,27時点 [60] 25,12月28日のコロナ死者数過去最多415人 [60] 12月28日のコロナ死者数過去最多415人,厚労省まとめ [60] 日本の直近1週間の人口あたりコロナ感染死者数世界最多,12 [60] 救急搬送困難,過去最多6800件 [60] 19,25 Top Word Pairs in Tweet in G6:
[47] र,न [39] क,र [31] न,क [22] mib_india,pmoindia [22] ह,क [22] ianuragthakur,mib_india [22] narendramodi,ianuragthakur [20] श,म [20] द,श [19] न,व Top Word Pairs in Tweet in G7:
[85] impuestos,hubiese [85] pagaría,impuestos [85] habría,rey [85] nieves,concostrina [85] españa,habría [85] rey,iglesia [85] iglesia,pagaría [84] hubiese,contado [84] 'en,españa [84] concostrina,'en Top Word Pairs in Tweet in G8:
[74] abandon,zero [74] catastrophe,both [74] zero,covid [74] extreme,rip [74] rip,policy [74] policy,catastrophe [74] china,decision [74] covid,embrace [74] embrace,extreme [74] decision,abandon Top Word Pairs in Tweet in G9:
[51] étudié,coronavirus [51] 15,ans [51] coronavirus,pendant [51] ans,traitement [51] pendant,15 [51] traitement,numéro [51] numéro,l'ivermectine [51] l'ivermectine,n'y [51] science,amérique [51] amérique,étudié Top Word Pairs in Tweet in G10:
[12] allowed,accepted [12] well,way [12] america,virus [12] virus,well [12] back,world [12] way,back [12] being,allowed [12] accepted,ready [12] ready,america [11] ladyconstance8,being Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: