The graph represents a network of 11,617 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 01 June 2021 at 07:34 UTC.
The requested start date was Tuesday, 01 June 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, 1-minute period from Saturday, 29 May 2021 at 12:21 UTC to Monday, 31 May 2021 at 12:22 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 : 11617
Unique Edges : 6728
Edges With Duplicates : 12667
Total Edges : 19395
Number of Edge Types : 5
Tweet : 3456
Retweet : 5637
MentionsInRetweet : 6674
Replies to : 787
Mentions : 2841
Self-Loops : 3497
Reciprocated Vertex Pair Ratio : 0.00545155317835836
Reciprocated Edge Ratio : 0.010843989769821
Connected Components : 3381
Single-Vertex Connected Components : 896
Maximum Vertices in a Connected Component : 2196
Maximum Edges in a Connected Component : 5115
Maximum Geodesic Distance (Diameter) : 38
Average Geodesic Distance : 10.905878
Graph Density : 7.24379536876113E-05
Modularity : 0.567539
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11,617 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 01 June 2021 at 07:34 UTC.
The requested start date was Tuesday, 01 June 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, 1-minute period from Saturday, 29 May 2021 at 12:21 UTC to Monday, 31 May 2021 at 12:22 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
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:
[3037] covid,19 [267] contra,covid [134] due,covid [122] 19,vaccine [114] covid,cases [90] kes,covid [87] positive,covid [87] against,covid [86] covid,vaccine [82] 19,pandemic Top Word Pairs in Tweet in G1:
[325] covid,19 [27] contra,covid [17] 19,cases [15] 19,vaccine [10] covid,cases [10] ज,म [9] covid,variant [9] covid,vaccine [8] positivity,rate [8] during,covid Top Word Pairs in Tweet in G2:
[102] covid,19 [60] covid,duty [48] joined,covid [46] covid,duties [40] doctors,joined [31] ppe,kit [28] chief,minister [27] drharshvardhan,mohfw_india [26] due,covid [26] covid,ward Top Word Pairs in Tweet in G3:
[70] road,10k [70] 10k,trending [70] trending,jijik [70] jijik,sungguh [70] sungguh,ingat [70] ingat,dalam [70] dalam,setiap [70] setiap,angka [70] angka,itu [70] itu,ada Top Word Pairs in Tweet in G4:
[83] covid,19 [26] sukar,utk [25] kes,aktif [20] mei,2021 [17] apabila,kes [17] aktif,covid [17] 19,melebihi [17] melebihi,kemampuan [17] kemampuan,kami [17] kami,untuk Top Word Pairs in Tweet in G5:
[100] covid,19 [62] mufti,perak [62] meninggal,dunia [42] rasmi,khabar [42] khabar,sedih [42] sedih,mufti [42] perak,sri [42] sri,dr [42] dr,harussani [42] harussani,meninggal Top Word Pairs in Tweet in G6:
[81] covid,19 [47] contra,covid [12] lucha,contra [9] dosis,vacunas [9] 19,#chavismounidoenvictoria [8] pandemia,covid [8] vacunación,contra [8] vacunación,masiva [8] masiva,contra [7] jornada,trabajo Top Word Pairs in Tweet in G7:
[63] covid,19 [28] varian,baharu [26] 19,negara [22] gabungan,varian [21] 10,dari [21] dari,19 [21] negara,paling [21] paling,berisiko [21] berisiko,runtuh [21] runtuh,sistem Top Word Pairs in Tweet in G8:
[28] covid,19 [8] against,president [8] president,jair [8] full,cooperation [8] general,public [8] public,stake [8] stake,holders [7] protesters,brazil [7] brazil,took [7] took,streets Top Word Pairs in Tweet in G9:
[33] diri,sendiri [31] suami,dia [31] dia,positive [31] positive,covid [31] covid,guys [31] guys,nampak [31] nampak,sihat [31] sihat,dalam [31] dalam,video [31] video,masa Top Word Pairs in Tweet in G10:
[20] र,न [20] म,द [19] र,ज [18] च,क [18] क,ज [18] द,यर [18] क,न [18] र,म [18] क,द [18] द,र 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 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:
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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: