The graph represents a network of 9,155 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 September 2021 at 10:52 UTC.
The requested start date was Tuesday, 14 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 0-hour, 8-minute period from Tuesday, 07 September 2021 at 12:17 UTC to Monday, 13 September 2021 at 12:25 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 : 9155
Unique Edges : 4190
Edges With Duplicates : 12109
Total Edges : 16299
Number of Edge Types : 5
Retweet : 5398
MentionsInRetweet : 5900
Tweet : 2832
Replies to : 477
Mentions : 1692
Self-Loops : 2936
Reciprocated Vertex Pair Ratio : 0.0051471558664379
Reciprocated Edge Ratio : 0.0102415966386555
Connected Components : 2349
Single-Vertex Connected Components : 1009
Maximum Vertices in a Connected Component : 2935
Maximum Edges in a Connected Component : 6322
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.642822
Graph Density : 9.08777735709154E-05
Modularity : 0.523494
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 9,155 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 14 September 2021 at 10:52 UTC.
The requested start date was Tuesday, 14 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 0-hour, 8-minute period from Tuesday, 07 September 2021 at 12:17 UTC to Monday, 13 September 2021 at 12:25 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 : GraphServerTwitterSearch
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:
[1002] covid,19 [360] novel,coronavirus [325] research,wuhan [319] coronavirus,research [281] fauci,lied [274] surprise,surprise [274] surprise,fauci [274] lied,again [274] again,right [274] right,agency Top Word Pairs in Tweet in G1:
[154] covid,19 [32] 19,vaccine [29] #covid19,#coronavirus [21] #coronavirus,#covid19 [20] ãƒ,ム[19] casos,activos [17] vaccine,mandates [17] contagios,nuevos [17] nuevos,bajan [13] fully,vaccinated Top Word Pairs in Tweet in G2:
[310] research,wuhan [285] coronavirus,research [275] fauci,lied [269] surprise,surprise [269] surprise,fauci [269] lied,again [269] again,right [269] right,agency [269] agency,funding [269] funding,novel Top Word Pairs in Tweet in G3:
[43] coronavirus,outbreak [41] covid,19 [39] contain,coronavirus [38] putian,city [38] city,million [38] million,people [38] people,southern [38] southern,china [38] china,trying [38] trying,contain Top Word Pairs in Tweet in G4:
[94] coronavirus,act [46] vaccine,passports [30] act,being [29] apparently,vaccine [29] passports,scrapped [29] scrapped,coronavirus [29] being,watered [29] watered,down [29] down,including [29] including,removal Top Word Pairs in Tweet in G5:
[51] kids,orphaned [49] heartbreaking,kids [49] orphaned,both [49] both,mom [49] mom,dad [49] dad,age [49] age,37 [49] 37,39 [49] 39,dies [49] dies,#covid19 Top Word Pairs in Tweet in G6:
[126] vaccine,passports [115] downing,street [115] passports,first [115] first,line [115] line,defence [115] defence,against [115] against,winter [108] winter,wave [107] breaking,downing [107] street,vaccine Top Word Pairs in Tweet in G7:
[110] direct,coronavirus [108] coronavirus,gouvernement [108] gouvernement,britannique [108] britannique,renonce [108] renonce,passeport [108] passeport,vaccinal [108] cnews,direct [11] crise,covid [10] documentaire,liberté [10] liberté,voir Top Word Pairs in Tweet in G8:
[149] dah,lama [147] covid,19 [145] coronavirus,dah [142] sars,cov [141] berbuih,mulut [141] mulut,bagitau [141] bagitau,coronavirus [141] lama,covid [141] covid,vaccine [141] vaccine,boleh Top Word Pairs in Tweet in G9:
[7] #covid19vaccine,much [7] much,awaited [7] awaited,nod [7] nod,india's [7] india's,indigenous [7] indigenous,vaccine [7] vaccine,covaxin [7] covaxin,expected [7] expected,week [7] week,here's Top Word Pairs in Tweet in G10:
[71] covid,19 [30] millions,americans [30] americans,still [30] still,need [30] need,vaccinated [30] vaccinated,slow [30] slow,stop [30] stop,spread [30] spread,covid [30] 19,getting Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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: