The graph represents a network of 9,465 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 Wednesday, 09 September 2020 at 08:45 UTC.
The requested start date was Wednesday, 09 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, 0-hour, 6-minute period from Sunday, 06 September 2020 at 07:05 UTC to Tuesday, 08 September 2020 at 07:11 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 : 9465
Unique Edges : 4842
Edges With Duplicates : 11928
Total Edges : 16770
Number of Edge Types : 5
Retweet : 5110
MentionsInRetweet : 5825
Tweet : 3811
Mentions : 1687
Replies to : 337
Self-Loops : 3875
Reciprocated Vertex Pair Ratio : 0.00507343124165554
Reciprocated Edge Ratio : 0.0100956429330499
Connected Components : 2821
Single-Vertex Connected Components : 1107
Maximum Vertices in a Connected Component : 2025
Maximum Edges in a Connected Component : 4627
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 10.371976
Graph Density : 8.40396549283542E-05
Modularity : 0.522231
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,465 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 Wednesday, 09 September 2020 at 08:45 UTC.
The requested start date was Wednesday, 09 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, 0-hour, 6-minute period from Sunday, 06 September 2020 at 07:05 UTC to Tuesday, 08 September 2020 at 07:11 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:
[736] covid,19 [275] coronavirus,cases [246] decided,colleges [246] colleges,institutes [239] re,open [231] institutes,re [219] open,january [218] january,2021 [204] 2021,reason [201] reason,delay Top Word Pairs in Tweet in G1:
[170] covid,19 [58] coronavirus,cases [47] bbc,news [42] क,र [38] र,न [31] #covid19,#coronavirus [31] news,coronavirus [25] क,स [24] #coronavirus,#covid19 [22] र,क Top Word Pairs in Tweet in G2:
[26] #coronavirus,cases [19] india,surpassed [19] surpassed,brazil [19] brazil,world's [19] world's,2nd [18] highest,number [18] number,#coronavirus [16] covid,19 [15] same,day [15] 2nd,highest Top Word Pairs in Tweet in G3:
[212] decided,colleges [212] colleges,institutes [212] institutes,re [212] re,open [212] open,january [212] january,2021 [191] 2021,reason [188] reason,delay [180] swamy39,decided [22] subramanian,swamy Top Word Pairs in Tweet in G4:
[11] starting,very [11] very,high [11] high,marks [11] marks,handling [11] handling,coronavirus [11] coronavirus,china [11] china,virus [11] virus,especially [11] especially,compared [10] realdonaldtrump,starting Top Word Pairs in Tweet in G5:
[34] decided,colleges [34] colleges,institutes [19] institutes,re [19] re,open [16] #postpone_neet_begging_moe,anubha1812 [16] anubha1812,arvindchaturved [16] arvindchaturved,decided [16] coronavirus,pandemic [15] monicastic_10,#postpone_neet_begging_moe [15] media,served Top Word Pairs in Tweet in G6:
[16] covid,19 [13] manneken,pis [13] pis,fountain [13] fountain,belgium [13] belgium,dressed [13] dressed,white [13] white,gown [13] gown,face [13] face,mask [13] mask,pay Top Word Pairs in Tweet in G7:
[11] sent,home [11] home,nursery [11] nursery,due [11] due,kids [11] kids,families [11] families,bubble [11] bubble,testing [11] testing,positive [11] positive,unwell [11] unwell,whole Top Word Pairs in Tweet in G8:
[10] south,wales [8] frank,politics [8] politics,never [8] never,mattered [8] mattered,less [8] less,leadership [8] leadership,doing [8] doing,popular [6] scott,morrison [6] victorian,premier Top Word Pairs in Tweet in G9:
[30] 05,septembre [29] biobiobiobior,france [28] france,05 [11] coronavirus,cases [11] septembre,société [11] société,savante [11] savante,attaque [11] attaque,pr [11] pr,raoult [11] raoult,touché Top Word Pairs in Tweet in G10:
[24] última,hora [22] hora,india [22] india,registra [22] registra,90 [22] 90,000 [22] 000,contagios [22] contagios,día [22] día,mayor [22] mayor,cifra [22] cifra,mundo Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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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: