The graph represents a network of 10,094 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 July 2021 at 07:22 UTC.
The requested start date was Wednesday, 07 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, 3-minute period from Sunday, 04 July 2021 at 12:17 UTC to Tuesday, 06 July 2021 at 12:20 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 : 10094
Unique Edges : 5087
Edges With Duplicates : 12053
Total Edges : 17140
Number of Edge Types : 5
Tweet : 3720
Retweet : 5265
MentionsInRetweet : 5867
Replies to : 425
Mentions : 1863
Self-Loops : 3751
Reciprocated Vertex Pair Ratio : 0.00485309548793284
Reciprocated Edge Ratio : 0.00965931340556063
Connected Components : 3206
Single-Vertex Connected Components : 1274
Maximum Vertices in a Connected Component : 916
Maximum Edges in a Connected Component : 2103
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 9.954513
Graph Density : 7.51972379085717E-05
Modularity : 0.529649
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 10,094 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 07 July 2021 at 07:22 UTC.
The requested start date was Wednesday, 07 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, 3-minute period from Sunday, 04 July 2021 at 12:17 UTC to Tuesday, 06 July 2021 at 12:20 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 : COVID-19
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:
[6971] covid,19 [358] contra,covid [244] 19,vaccine [211] kes,kematian [211] 19,namun [210] ke,rumah [207] jenazah,tidak [207] tidak,dibenarkan [207] dibenarkan,dibawa [207] dibawa,ke Top Word Pairs in Tweet in G1:
[1239] covid,19 [179] #whatshappeninginmyanmar,#july6coup [177] #dreadfulcovidamidmilitarycoup,#whatshappeninginmyanmar [160] residents,kale [160] kale,town [160] against,sac [160] sac,dictatorship [160] despite,high [160] high,prevalence [160] prevalence,covid Top Word Pairs in Tweet in G2:
[214] covid,19 [205] jenazah,tidak [205] tidak,dibenarkan [205] dibenarkan,dibawa [205] dibawa,ke [205] ke,rumah [205] rumah,kerana [205] kerana,sop [205] sop,ketat [205] ketat,kes Top Word Pairs in Tweet in G3:
[93] covid,19 [33] against,covid [29] fight,against [23] technology,integral [23] integral,fight [21] 19,luckily [21] luckily,software [21] software,one [21] one,area [21] area,resource Top Word Pairs in Tweet in G4:
[113] covid,19 [33] tested,positive [26] residents,kale [26] dr,maw [26] maw,maw [26] maw,oo [23] kale,town [23] against,sac [23] sac,dictatorship [23] positive,covid Top Word Pairs in Tweet in G5:
[87] covid,19 [42] rumah,sakit [38] sakit,rujukan [36] rumah,rumah [36] rujukan,covid [36] saat,ini [31] bendera,putih [29] saatnya,jokowi [29] jokowi,kibarkan [29] kibarkan,bendera Top Word Pairs in Tweet in G6:
[104] covid,19 [16] 19,pariwar [16] pariwar,aarthik [16] aarthik,sahayata [14] 'mukhyamantri,covid [13] families,lost [13] पर,व [13] व,र [12] sahayata,yojana' [10] 500,month Top Word Pairs in Tweet in G7:
[71] covid,19 [13] isolasi,mandiri [11] dr,faheemyounus [11] faheemyounus,using [11] using,twitter [11] twitter,platform [11] platform,share [11] share,accurate [11] accurate,information [11] information,covid Top Word Pairs in Tweet in G8:
[81] covid,19 [14] saat,ini [13] dengan,angka [13] angka,hampir [13] hampir,tembus [13] tembus,30k [13] 30k,indonesia [13] indonesia,sekarang [13] sekarang,rangking [13] rangking,kasus Top Word Pairs in Tweet in G9:
[115] covid,19 [46] contra,covid [29] lucha,contra [17] contagio,covid [17] jornada,trabajo [16] 19,#seniatescompromisonacional [15] cuidémonos,prevención [15] prevención,clave [15] clave,frenar [15] tremenda,jornada Top Word Pairs in Tweet in G10:
[37] umelisa,sars [37] sars,cov [37] cov,antígeno [37] antígeno,sistema [37] sistema,diagnóstico [37] diagnóstico,100 [36] 100,cubano [30] logro,ciencia [30] ciencia,cubana [30] cubana,umelisa Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: