The graph represents a network of 3,339 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 08:56 UTC.
The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 38-minute period from Friday, 19 June 2020 at 00:34 UTC to Thursday, 02 July 2020 at 12:13 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 : 3339
Unique Edges : 2158
Edges With Duplicates : 2818
Total Edges : 4976
Number of Edge Types : 5
Retweet : 1105
MentionsInRetweet : 1458
Replies to : 684
Tweet : 599
Mentions : 1130
Self-Loops : 637
Reciprocated Vertex Pair Ratio : 0.0154798761609907
Reciprocated Edge Ratio : 0.0304878048780488
Connected Components : 844
Single-Vertex Connected Components : 292
Maximum Vertices in a Connected Component : 275
Maximum Edges in a Connected Component : 774
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.551161
Graph Density : 0.000264858308879698
Modularity : 0.624191
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 3,339 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 08:56 UTC.
The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 38-minute period from Friday, 19 June 2020 at 00:34 UTC to Thursday, 02 July 2020 at 12:13 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 : SARS-COV
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:
[2624] sars,cov [344] covid,19 [301] mers,cov [226] cov,sars [171] cov,mers [94] cov,genomes [91] potentially,stunning [91] stunning,paper [91] paper,reports [91] reports,detection Top Word Pairs in Tweet in G1:
[426] sars,cov [43] covid,19 [42] mers,cov [29] cov,mers [26] cov,sars [13] respiratory,syndrome [12] sars,2002年11月新型コロナウイルス発見 [12] 2002年11月新型コロナウイルス発見,sars [12] cov,中国の広東省仏山市 [12] 中国の広東省仏山市,新型sars Top Word Pairs in Tweet in G2:
[163] sars,cov [20] cov,sars [13] mers,cov [13] covid,19 [12] cov,spike [11] rolandbakeriii,ayjchan [9] theseeker268,luigi_warren [9] helping,viruses [9] viruses,help [9] help,themselves Top Word Pairs in Tweet in G3:
[95] sars,cov [91] potentially,stunning [91] stunning,paper [91] paper,reports [91] reports,detection [91] detection,sars [91] cov,genomes [91] genomes,sample [91] sample,barcelona [91] barcelona,wastewater Top Word Pairs in Tweet in G4:
[52] sars,cov [6] assays,detect [4] cov,sars [4] covid,19 [4] realdonaldtrump,right [4] right,coronaviruses [4] coronaviruses,very [4] very,common [4] common,majority [4] majority,cause Top Word Pairs in Tweet in G5:
[57] sars,cov [7] virus,sars [6] cov,2003 [5] ballouxfrancois,key [5] key,point [5] point,cells [5] cells,responses [5] responses,sars [5] 2003,much [5] much,more Top Word Pairs in Tweet in G6:
[75] sars,cov [36] 20,brotes [36] brotes,activos [36] activos,sars [36] cov,repartidos [36] repartidos,territorio [36] territorio,masca [36] masca,nuevo [36] nuevo,confinamiento [36] confinamiento,estado Top Word Pairs in Tweet in G7:
[3] mybrothersshot,hughology [3] hughology,lonestarebel [3] lonestarebel,apitts_1 [3] apitts_1,kc33phoenix [3] kc33phoenix,paul_pisano [3] paul_pisano,dunroamin4ever [3] dunroamin4ever,pro1776anti1984 [2] traderpattx1,mybrothersshot [2] pro1776anti1984,pragmaticm Top Word Pairs in Tweet in G8:
[3] cov,causes [3] sars,cov Top Word Pairs in Tweet in G9:
[22] sars,cov [8] praised,hcq [6] prophylaxis,treatment [5] sars,cov2 [5] 600,000 [4] treatment,sars [4] same,way [4] dangerous,600 [4] 000,americans [4] americans,take Top Word Pairs in Tweet in G10:
[75] sars,cov [28] cov,sars [27] accepted,preprint [27] preprint,structural [27] structural,basis [27] basis,sars [27] cov,receptor [27] receptor,binding [27] binding,small [27] small,molecule Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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: