The graph represents a network of 17,720 Twitter users whose recent tweets contained "Coronavirus", 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 02:57 UTC.
The tweets in the network were tweeted over the 48-minute period from Friday, 14 February 2020 at 01:07 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 : 17720
Unique Edges : 20650
Edges With Duplicates : 4528
Total Edges : 25178
Number of Edge Types : 5
Tweet : 5567
MentionsInRetweet : 4006
Retweet : 12061
Replies to : 970
Mentions : 2574
Self-Loops : 5642
Reciprocated Vertex Pair Ratio : 0.000992227550851662
Reciprocated Edge Ratio : 0.0019824880224682
Connected Components : 3510
Single-Vertex Connected Components : 1652
Maximum Vertices in a Connected Component : 9901
Maximum Edges in a Connected Component : 16700
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.665678
Graph Density : 5.78347686870415E-05
Modularity : 0.739187
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 17,720 Twitter users whose recent tweets contained "Coronavirus", 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 02:57 UTC.
The tweets in the network were tweeted over the 48-minute period from Friday, 14 February 2020 at 01:07 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 : 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:
[930] coronavirus,outbreak [682] #coronavirus,#coronavirusoutbreak [638] covid,19 [506] death,toll [476] hong,kong [456] public,health [450] #coronavirus,#covid19 [436] health,officials [412] hubei,province [375] cruise,ship Top Word Pairs in Tweet in G1:
[72] covid,19 [58] coronavirus,cases [55] coronavirus,outbreak [36] death,toll [36] hubei,province [36] cruise,ship [32] novel,coronavirus [28] province,reports [26] china's,hubei [25] reports,116 Top Word Pairs in Tweet in G2:
[300] hong,kong [140] communist,party [132] chinese,communist [98] #coronavirus,cases [85] covid,19 [85] coronavirus,outbreak [85] death,toll [84] world,health [84] hubei,province [82] health,organization Top Word Pairs in Tweet in G3:
[185] médicos,chinos [185] chinos,hallan [185] hallan,anticuerpos [185] anticuerpos,capaces [185] capaces,combatir [184] combatir,coronavirus [145] población,mundial [144] último,médicos [143] tercios,población [140] asesor,oms Top Word Pairs in Tweet in G4:
[145] hubei,province [112] coronavirus,cases [108] cruise,ship [95] mainland,china [85] 116,more [84] more,people [84] people,died [84] died,coronavirus [82] confirmed,coronavirus [81] total,number Top Word Pairs in Tweet in G5:
[349] #coronavirus,#coronavirusoutbreak [197] #coronavirusoutbreak,#wuhan [189] #coronavirusaustralia,#coronaviruscanada [181] #wuhan,#coronaviruschina [179] #coronaviruschina,#coronavirusaustralia [152] #covid2019,#coronavirus [136] #新冠肺炎,#新冠病毒 [114] #coronavirusoutbreak,#coronaviruschina [91] #coronaviruschina,#武汉肺炎 [78] #武漢肺炎,#新冠肺炎 Top Word Pairs in Tweet in G6:
[142] realdonaldtrump,stormisuponus [142] stormisuponus,jordan_sather_ [141] #coronavirus,#coronavirusoutbreak [138] trying,kill [138] kill,many [138] many,people [138] people,possible [138] possible,anyhow [138] anyhow,still [138] still,last Top Word Pairs in Tweet in G7:
[91] global,pandemic [91] #americafirst,#maga [91] #maga,#dobbs [89] worldwide,crisis [89] crisis,'if [89] 'if,china [89] china,contain [89] contain,coronavirus [89] coronavirus,become [89] become,global Top Word Pairs in Tweet in G8:
[320] public,health [320] health,officials [311] trump,administration [311] administration,doing [309] yesterday,homeland [309] homeland,security [309] security,committee [309] committee,meeting [309] meeting,discuss [309] discuss,coronavirus Top Word Pairs in Tweet in G9:
[120] coronavirus,two [120] wuhan,disappeared [119] two,reporters [119] reporters,wuhan [19] china,finally [19] finally,admitted [19] admitted,welding [19] welding,entire [19] entire,apartment [19] apartment,buildings Top Word Pairs in Tweet in G10:
[136] coronavirus,death [131] breaking,coronavirus [131] death,toll [131] toll,reaches [131] reaches,1483 [63] american,televangelist [63] televangelist,jim [63] jim,bakker [63] bakker,selling [63] selling,liquid Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: