The graph represents a network of 7,697 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 Thursday, 03 September 2020 at 10:32 UTC.
The requested start date was Thursday, 03 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, 9-hour, 39-minute period from Monday, 31 August 2020 at 14:21 UTC to Thursday, 03 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 : 7697
Unique Edges : 5230
Edges With Duplicates : 12761
Total Edges : 17991
Number of Edge Types : 5
Tweet : 1072
Retweet : 5923
MentionsInRetweet : 9090
Mentions : 1341
Replies to : 565
Self-Loops : 1099
Reciprocated Vertex Pair Ratio : 0.00263080970476469
Reciprocated Edge Ratio : 0.00524781341107872
Connected Components : 843
Single-Vertex Connected Components : 350
Maximum Vertices in a Connected Component : 4942
Maximum Edges in a Connected Component : 13551
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.39572
Graph Density : 0.000173711603489439
Modularity : 0.532672
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,697 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 Thursday, 03 September 2020 at 10:32 UTC.
The requested start date was Thursday, 03 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, 9-hour, 39-minute period from Monday, 31 August 2020 at 14:21 UTC to Thursday, 03 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:
[1132] cdc,issue [1131] issue,guidance [1131] guidance,schools [1130] clear,joebiden [1130] joebiden,woke [1130] woke,cdc [1130] schools,reopening [1130] reopening,president [1129] kayleighmcenany,clear [1129] president,realdona Top Word Pairs in Tweet in G1:
[509] covid,19 [442] #wearamask,help [383] slow,spread [369] help,slow [363] differences,between [325] spread,covid [321] many,choices [320] 19,selecting [320] selecting,#mask [318] #mask,many Top Word Pairs in Tweet in G2:
[1122] cdc,issue [1121] issue,guidance [1121] guidance,schools [1120] clear,joebiden [1120] joebiden,woke [1120] woke,cdc [1120] schools,reopening [1120] reopening,president [1119] kayleighmcenany,clear [1119] president,realdona Top Word Pairs in Tweet in G3:
[435] covid,deaths [434] deaths,50 [432] case,missed [432] missed,ontario [432] ontario,admitted [432] admitted,inflating [432] inflating,reported [432] reported,covid [432] 50,took [431] took,screenshot Top Word Pairs in Tweet in G4:
[205] datos,#covid19 [198] #covid19,españa [151] contacto,estrecho [147] considera,contacto [147] positivo,#covid19 [147] #covid19,protección [147] protección,distancia [145] distancia,15 [145] saludpublicaes,considera [144] estrecho,estar Top Word Pairs in Tweet in G5:
[143] covid,19 [31] learn,more [25] seasonal,allergies [20] protect,yourself [19] spread,covid [19] 2019,ncov [18] wear,mask [16] yourself,others [15] slow,spread [14] ncov,2019 Top Word Pairs in Tweet in G6:
[150] health,services [63] pulse,survey [59] nearly,country [59] seen,health [57] study,shows [57] shows,nearly [57] services,disrupted [57] disrupted,#covid19 [57] essential,health [55] living,guidance Top Word Pairs in Tweet in G7:
[117] febre,símptomes [117] símptomes,#covid19 [95] centre,educatiu [67] ús,mascareta [67] mascareta,accediu [67] accediu,centre [67] centre,amb [67] amb,febre [67] #covid19,renteu [67] renteu,sovint Top Word Pairs in Tweet in G8:
[112] kerpen,cdc [111] cdc,prints [111] prints,august [111] august,28 [111] 28,coronavirus [111] coronavirus,illness [111] illness,cli [111] cli,visits [111] visits,nationally [111] nationally,three Top Word Pairs in Tweet in G9:
[10] covid,19 [10] cdc,mortality [10] mortality,rate [9] rate,data [8] juliaioffe,cdc [7] next,nothing [6] lives,being [6] being,destroyed [6] destroyed,cdc [6] cdc,facts Top Word Pairs in Tweet in G10:
[5] covid,19 [4] 2019,ncov [4] ncov,rna [3] need,test [3] jeremy_hunt,matthancock [2] 19,symptoms [2] symptoms,close [2] close,contact [2] contact,someone [2] someone,known 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 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: