The graph represents a network of 17,605 Twitter users whose recent tweets contained "#sarscov2", 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 Thursday, 19 March 2020 at 17:00 UTC.
The tweets in the network were tweeted over the 11-hour, 33-minute period from Thursday, 19 March 2020 at 04:14 UTC to Thursday, 19 March 2020 at 15:48 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 : 17605
Unique Edges : 18356
Edges With Duplicates : 2524
Total Edges : 20880
Number of Edge Types : 5
Retweet : 15062
MentionsInRetweet : 2869
Tweet : 1353
Mentions : 1208
Replies to : 388
Self-Loops : 1407
Reciprocated Vertex Pair Ratio : 0.00102819416635099
Reciprocated Edge Ratio : 0.00205427613796086
Connected Components : 900
Single-Vertex Connected Components : 372
Maximum Vertices in a Connected Component : 14378
Maximum Edges in a Connected Component : 16867
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.515047
Graph Density : 5.96866749643342E-05
Modularity : 0.611023
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 17,605 Twitter users whose recent tweets contained "#sarscov2", 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 Thursday, 19 March 2020 at 17:00 UTC.
The tweets in the network were tweeted over the 11-hour, 33-minute period from Thursday, 19 March 2020 at 04:14 UTC to Thursday, 19 March 2020 at 15:48 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 : #sarscov2
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:
[16744] cases,deaths [10774] #coronaoutbreak,#sarscov2 [10768] #coronavirus,#coronaoutbreak [8372] cases,death [8369] cases,14 [8369] 14,deaths [7358] indonesia,#covid19 [7358] #covid19,case [7358] case,fatalities [7358] fatalities,southeast Top Word Pairs in Tweet in G1:
[16662] cases,deaths [10618] #coronavirus,#coronaoutbreak [10618] #coronaoutbreak,#sarscov2 [8331] cases,14 [8331] 14,deaths [8331] cases,death [7335] indonesia,227 [7335] 227,cases [7335] cases,19 [7335] 19,deaths Top Word Pairs in Tweet in G2:
[800] #covid19,#sarscov2 [400] covid,19 [248] front,line [248] line,physician [248] physician,protect [248] protect,vulnerable [248] vulnerable,member [248] member,household [248] household,pathogens [248] pathogens,exposed Top Word Pairs in Tweet in G3:
[82] #covid19,#sarscov2 [65] #sarscov2,#covid19 [46] #coronavirus,#sarscov2 [33] #covid19,#coronavirus [27] #coronavirus,#covid19 [21] sars,cov [20] covid,19 [18] #sarscov2,#coronavirus [12] #2019ncov,#sarscov2 [12] #sarscov2,#新型コロナウイルス Top Word Pairs in Tweet in G4:
[125] #covid19,#sarscov2 [112] #sarscov2,#hcov19 [61] #hcov19,sequences [49] 700th,publicly [49] publicly,available [49] available,#sarscov2 [49] #sarscov2,genome [49] genome,huge [49] huge,thanks [49] thanks,those Top Word Pairs in Tweet in G5:
[69] #covid19,#sarscov2 [32] #coronavirus,#covid19 [31] chinese,virus [30] #sarscov2,chinese [27] #sarscov2,#covid19 [25] years,ago [25] #coronavirus,#sarscov2 [24] given,debate [24] debate,trump [24] trump,calling Top Word Pairs in Tweet in G6:
[58] #sarscov2,#covid19 [40] #charitéberlin,data4life [40] data4life,die [40] die,covapp [40] covapp,entwickelt [40] entwickelt,app [40] app,sollen [40] sollen,die [40] die,prozesse [40] prozesse,charité Top Word Pairs in Tweet in G7:
[27] #covid19,#sarscov2 [25] immune,response [25] response,#sarscov2 [25] #sarscov2,develop [25] develop,mild [25] mild,moderately [25] moderately,ill [25] ill,cases [25] cases,both [25] both,humoral Top Word Pairs in Tweet in G8:
[96] study,estimates [96] estimates,overall [96] overall,symptomatic [96] symptomatic,case [96] case,fatality [96] fatality,risk [96] risk,probability [96] probability,dying [96] dying,developing [96] developing,symptoms Top Word Pairs in Tweet in G9:
[58] #covid19,#covid_19 [58] #covid_19,#coronavirus [58] #coronavirus,#sarscov2 [43] show,#sarscov2 [35] breaking,scientists [35] scientists,analyzed [35] analyzed,genomic [35] genomic,data [35] data,determine [35] determine,origin Top Word Pairs in Tweet in G10:
[53] #lopinavir,#ritonavir [53] #ritonavir,help [53] help,patients [53] patients,#hospitalized [53] #hospitalized,severe [53] severe,#covid19 [53] #covid19,please [53] please,stop [53] stop,using [53] using,#kaletra Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
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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: