The graph represents a network of 8,067 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 September 2020 at 08:45 UTC.
The requested start date was Monday, 28 September 2020 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 2-day, 23-hour, 35-minute period from Friday, 25 September 2020 at 00:25 UTC to Monday, 28 September 2020 at 00:00 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 : 8067
Unique Edges : 1945
Edges With Duplicates : 13552
Total Edges : 15497
Number of Edge Types : 5
Tweet : 614
Retweet : 6488
MentionsInRetweet : 6910
Replies to : 556
Mentions : 929
Self-Loops : 632
Reciprocated Vertex Pair Ratio : 0.00237262737262737
Reciprocated Edge Ratio : 0.00473402267347701
Connected Components : 595
Single-Vertex Connected Components : 193
Maximum Vertices in a Connected Component : 4891
Maximum Edges in a Connected Component : 10030
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.057678
Graph Density : 0.000123362450683067
Modularity : 0.506477
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,067 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 29 September 2020 at 08:45 UTC.
The requested start date was Monday, 28 September 2020 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 2-day, 23-hour, 35-minute period from Friday, 25 September 2020 at 00:25 UTC to Monday, 28 September 2020 at 00:00 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 : NCoV
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:
[2286] 20,49 [2192] survival,rates [2145] updated,survival [1839] 99,997 [1827] 19,99 [1805] 997,20 [1646] rates,infected [1597] last,week [1578] week,updated [1573] infected,covid19 Top Word Pairs in Tweet in G1:
[1444] updated,survival [1444] survival,rates [1443] govt,last [1443] last,week [1443] week,updated [1443] rates,infected [1443] infected,covid19 [1443] covid19,19 [1443] 19,99 [1443] 99,997 Top Word Pairs in Tweet in G2:
[481] slow,spread [480] help,slow [440] covid,19 [400] cdcgov,#wearamask [384] spread,covid [373] #wearamask,public [373] public,help [373] 19,sure [373] sure,wear [373] wear,right Top Word Pairs in Tweet in G3:
[753] cdc,declared [753] declared,federal [753] federal,ban [753] ban,evictions [753] evictions,prevent [753] prevent,evictions [753] evictions,tenants [753] tenants,sign [753] sign,present [753] present,following Top Word Pairs in Tweet in G4:
[499] infection,fatality [499] age,group [497] updated,survival [497] survival,rates [488] cdc,recently [488] recently,updated [488] updated,estimated [488] estimated,infection [488] fatality,rates [488] rates,covid Top Word Pairs in Tweet in G5:
[397] infection,fatality [392] fatality,ratio [386] 20,49 [385] 19,years [385] years,00003 [385] 00003,20 [385] 49,years [385] years,0002 [385] 0002,50 [385] 50,69 Top Word Pairs in Tweet in G6:
[195] 30,35 [194] espagne,27 [194] 27,septembre [194] septembre,bizarrement [194] bizarrement,espagne [194] espagne,change [194] change,ses [194] ses,critères [194] critères,pcr [194] pcr,passe Top Word Pairs in Tweet in G7:
[224] south,dakota [224] dakota,purple [224] purple,usa [224] usa,gray [224] gray,source [224] source,cdc [223] maddow,south [6] dotcomcto,maddow [6] maddow,facts [6] facts,govt Top Word Pairs in Tweet in G8:
[115] alessandroloio2,fontes [26] covid,19 [21] survival,rate [20] cdc,merged [20] merged,three [20] three,separate [20] separate,categories [20] categories,causes [20] causes,death [20] death,namely Top Word Pairs in Tweet in G9:
[69] covid,19 [19] 20,49 [19] 50,69 [19] 2019,ncov [15] 99,98 [14] 19,99 [14] 99,997 [14] 49,99 [14] 69,99 [13] 70,94 Top Word Pairs in Tweet in G10:
[110] més,persones [102] demà,entra [102] entra,vigor [102] vigor,prohibició [102] prohibició,trobades [102] trobades,reunions [102] reunions,més [102] persones,llevat [102] llevat,siguin [102] siguin,convivents Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 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: