The graph represents a network of 14,444 Twitter users whose recent tweets contained "covid.joinzoe.com", 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 Wednesday, 25 March 2020 at 19:32 UTC.
The tweets in the network were tweeted over the 1-day, 20-hour, 54-minute period from Monday, 23 March 2020 at 22:27 UTC to Wednesday, 25 March 2020 at 19:21 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 : 14444
Unique Edges : 16369
Edges With Duplicates : 566
Total Edges : 16935
Self-Loops : 7256
Reciprocated Vertex Pair Ratio : 0.00325390994017004
Reciprocated Edge Ratio : 0.00648671270140197
Connected Components : 6574
Single-Vertex Connected Components : 5076
Maximum Vertices in a Connected Component : 4219
Maximum Edges in a Connected Component : 6063
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.360972
Graph Density : 4.5816523794978E-05
Modularity : 0.714528
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 14,444 Twitter users whose recent tweets contained "covid.joinzoe.com", 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 Wednesday, 25 March 2020 at 19:32 UTC.
The tweets in the network were tweeted over the 1-day, 20-hour, 54-minute period from Monday, 23 March 2020 at 22:27 UTC to Wednesday, 25 March 2020 at 19:21 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.joinzoe.com
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[10746] reporting,symptoms [10252] self,reporting [10228] daily,even [10210] help,slow [10189] symptoms,daily [10179] slow,spread [10076] spread,#covid19 [10051] even,feel [10048] feel,well [10033] risk,cases Top Word Pairs in Tweet in G1:
[4382] help,slow [4379] daily,even [4364] slow,spread [4361] self,reporting [4357] symptoms,daily [4356] spread,#covid19 [4354] even,feel [4349] feel,well [4347] risk,cases [4345] identify,risk Top Word Pairs in Tweet in G2:
[870] reporting,symptoms [360] symptom,tracker [341] even,re [341] symptoms,even [334] covid,symptom [329] re,ok [315] self,reporting [311] app,download [310] over,200 [310] 200,000 Top Word Pairs in Tweet in G3:
[162] daily,even [137] symptoms,daily [131] download,app [119] even,feel [119] feel,well [117] help,slow [117] self,reporting [115] reporting,symptoms [112] slow,spread [110] spread,#covid19 Top Word Pairs in Tweet in G4:
[315] symptom,tracker [312] covid,symptom [233] tracker,please [233] really,important [232] please,retweet [232] retweet,really [232] important,plot [232] plot,transmission [232] transmission,record [232] record,daily Top Word Pairs in Tweet in G5:
[343] self,reporting [334] reporting,symptoms [333] daily,even [333] download,app [332] slow,spread [332] risk,cases [332] cases,sooner [332] sooner,self [332] symptoms,daily [332] even,feel Top Word Pairs in Tweet in G6:
[118] reporting,symptoms [107] help,slow [107] slow,spread [106] spread,#covid19 [106] #covid19,identify [106] identify,risk [106] risk,cases [106] cases,sooner [106] sooner,self [106] self,reporting Top Word Pairs in Tweet in G7:
[206] reporting,symptoms [205] download,app [204] help,slow [204] slow,spread [204] spread,#covid19 [204] #covid19,identify [204] identify,risk [204] risk,cases [204] cases,sooner [204] sooner,self Top Word Pairs in Tweet in G8:
[178] help,slow [178] slow,spread [178] spread,#covid19 [178] #covid19,identify [178] identify,risk [178] risk,cases [178] cases,sooner [178] sooner,self [178] self,reporting [178] reporting,symptoms Top Word Pairs in Tweet in G9:
[83] even,feel [83] download,app [83] self,report [82] daily,self [82] report,symptoms [82] symptoms,coronavirus [82] coronavirus,even [82] even,don [82] don,t [82] t,help Top Word Pairs in Tweet in G10:
[105] help,slow [105] slow,spread [72] kings,college [70] college,london [69] please,share [63] brilliant,app [63] app,developed [63] developed,scientists [63] scientists,kings [63] london,others Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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