The graph represents a network of 1,097 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 Sunday, 11 September 2022 at 09:52 UTC.
The requested start date was Sunday, 11 September 2022 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 11-day, 21-hour, 54-minute period from Sunday, 28 August 2022 at 00:12 UTC to Thursday, 08 September 2022 at 22:06 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 : 1097
Unique Edges : 616
Edges With Duplicates : 1242
Total Edges : 1858
Number of Edge Types : 5
Retweet : 419
MentionsInRetweet : 571
Replies to : 156
Mentions : 618
Tweet : 94
Self-Loops : 100
Reciprocated Vertex Pair Ratio : 0.00357142857142857
Reciprocated Edge Ratio : 0.00711743772241993
Connected Components : 189
Single-Vertex Connected Components : 46
Maximum Vertices in a Connected Component : 184
Maximum Edges in a Connected Component : 368
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.41963
Graph Density : 0.00093486549248448
Modularity : 0.603746
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,097 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 Sunday, 11 September 2022 at 09:52 UTC.
The requested start date was Sunday, 11 September 2022 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 11-day, 21-hour, 54-minute period from Sunday, 28 August 2022 at 00:12 UTC to Thursday, 08 September 2022 at 22:06 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:
[645] sars,cov [186] hai,fatto [185] chiarire,dinanzi [185] dinanzi,ad [185] ad,tribunale [185] tribunale,militare [185] militare,perché [185] perché,hai [185] fatto,sparire [185] sparire,piano Top Word Pairs in Tweet in G1:
[180] hai,fatto [179] devi,chiarire [179] chiarire,dinanzi [179] dinanzi,ad [179] ad,tribunale [179] tribunale,militare [179] militare,perché [179] perché,hai [179] fatto,sparire [179] sparire,piano Top Word Pairs in Tweet in G2:
[33] sars,cov [5] cleavage,site [4] protonicstorm,pathogenetics [4] pathogenetics,0bj3ctivity [4] 0bj3ctivity,eduengineer [4] eduengineer,wired [4] wired,sergeilkp [4] sergeilkp,kumar_lab [4] kumar_lab,michaelworobey [4] michaelworobey,sciencemagazine Top Word Pairs in Tweet in G3:
[116] 22,000 [58] average,humans [58] humans,take [58] take,22 [58] 000,breath [58] breath,day [58] day,means [58] means,sars [58] sars,cov [58] cov,22 Top Word Pairs in Tweet in G4:
[6] sars,cov [3] cyclowarrior,mcfunny [3] mcfunny,steveskojec [3] steveskojec,many [3] many,viral [3] viral,diseases [3] diseases,sars [3] cov,middle [3] middle,east [3] east,respiratory Top Word Pairs in Tweet in G5:
[2] raven4212,medwoman1 [2] medwoman1,kittygrumble [2] kittygrumble,bentdepraved [2] bentdepraved,amyrali16 [2] amyrali16,felix_cat7 [2] felix_cat7,willsworldview [2] willsworldview,rossgilroy [2] rossgilroy,stilldizzy2 [2] stilldizzy2,haircutspock [2] haircutspock,simple_shaman Top Word Pairs in Tweet in G6:
[53] sars,cov [9] ãƒ,ペã [8] ペã,ム[7] ç,æ [7] œã,œã [6] æ,ç [6] ÿæÿ,ç [6] ãƒ,ム[5] degli,alimenti [5] ç,ç Top Word Pairs in Tweet in G7:
[2] pig,factory [2] factory,farms Top Word Pairs in Tweet in G8:
[26] gabinjean3,perso [26] perso,j'aime [26] j'aime,bien [26] bien,cet [26] cet,article [26] article,synthã [26] synthã,linda [26] linda,saif [26] saif,dernier [26] dernier,auteur Top Word Pairs in Tweet in G10:
[16] szampa56,robersperanza [16] robersperanza,ma [16] ma,devi [16] devi,vaccinare [16] vaccinare,più [16] più,ma [16] ma,vuoi [16] vuoi,pandemia [16] pandemia,finita [16] finita,varianti Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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:
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: