The graph represents a network of 9,262 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 Saturday, 10 July 2021 at 09:33 UTC.
The requested start date was Saturday, 10 July 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 2-day, 0-hour, 10-minute period from Tuesday, 06 July 2021 at 12:18 UTC to Thursday, 08 July 2021 at 12:28 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 : 9262
Unique Edges : 4458
Edges With Duplicates : 11900
Total Edges : 16358
Number of Edge Types : 5
Replies to : 391
Retweet : 5283
MentionsInRetweet : 5882
Tweet : 3258
Mentions : 1544
Self-Loops : 3312
Reciprocated Vertex Pair Ratio : 0.00602987529121557
Reciprocated Edge Ratio : 0.0119874676474595
Connected Components : 2720
Single-Vertex Connected Components : 1094
Maximum Vertices in a Connected Component : 1823
Maximum Edges in a Connected Component : 4053
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 9.619985
Graph Density : 8.55839965830756E-05
Modularity : 0.520085
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,262 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 Saturday, 10 July 2021 at 09:33 UTC.
The requested start date was Saturday, 10 July 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 2-day, 0-hour, 10-minute period from Tuesday, 06 July 2021 at 12:18 UTC to Thursday, 08 July 2021 at 12:28 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:
[944] ãƒ,ム[774] covid,19 [340] æ,æ [289] ø,ø [254] æ,ÿæÿ [254] state,emergency [254] #covid19,#coronavirus [230] coronavirus,cases [208] delta,variant [188] ç,æ Top Word Pairs in Tweet in G1:
[131] covid,19 [111] ãƒ,ム[46] î,î [44] æ,æ [41] æ,ÿæÿ [38] coronavã,rus [38] delta,variant [31] #covid19,#coronavirus [27] àª,ઠ[27] ãƒ,æ Top Word Pairs in Tweet in G2:
[165] blood,vessels [164] erectile,dysfunctionâ [164] dysfunctionâ,inflamed [164] inflamed,blood [164] vessels,body [164] body,triggered [164] triggered,#covid19 [164] #covid19,causing [164] causing,erectile [164] erectile,dysfunction Top Word Pairs in Tweet in G3:
[30] #johnsonvariant,#johnsonvariant [17] ian,blackford [17] blackford,asks [17] asks,pm [17] pm,whether [17] whether,scrap [17] scrap,plans [17] plans,mandatory [17] mandatory,voter [17] voter,id Top Word Pairs in Tweet in G4:
[108] estado,emergencia [106] #coronavirus,#latinus [105] #covid19,#coronavirus [101] japã,confirma [101] confirma,estado [101] emergencia,tokio [101] tokio,imperarã [101] imperarã,juegos [101] juegos,olã [101] olã,mpicos Top Word Pairs in Tweet in G5:
[33] covid,19 [16] delta,variant [15] deciding,whether [15] whether,wear [15] wear,mask [15] mask,people [15] people,need [15] need,take [15] take,account [15] account,vaccination Top Word Pairs in Tweet in G6:
[80] ãƒ,ム[47] coronavirus,cases [35] biggest,one [35] one,day [35] day,increase [32] bnodesk,breaking [29] breaking,japanese [29] japanese,government [29] government,declares [29] declares,state Top Word Pairs in Tweet in G7:
[60] spectatorindex,breaking [49] coronavirus,deaths [38] highest,pandemic [38] pandemic,began [37] breaking,worldwide [37] worldwide,coronavirus [37] deaths,pass [37] pass,million [36] daily,cases [33] spectatorindex,coronavirus Top Word Pairs in Tweet in G8:
[77] highest,number [77] number,daily [77] daily,cv19 [39] days,highest [38] coronavirus,3rd [38] 3rd,wave [38] wave,highest [38] cv19,deaths [38] deaths,74 [38] 74,days Top Word Pairs in Tweet in G9:
[41] boris,johnson [37] state,emergency [33] covid,reopening [31] global,experts [31] experts,urge [31] urge,boris [31] johnson,delay [31] delay,dangerousâ [31] dangerousâ,covid [31] reopening,coronavirus Top Word Pairs in Tweet in G10:
[37] #coronavirus,#pandemia [19] todas,vacunas [19] vacunas,seguras [19] seguras,protegen [19] protegen,algunas [19] algunas,mayor [19] mayor,menor [19] menor,eficacia [19] eficacia,mã [19] mã,nima Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
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: