The graph represents a network of 9,906 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 Saturday, 26 September 2020 at 07:17 UTC.
The requested start date was Saturday, 26 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, 2-minute period from Wednesday, 23 September 2020 at 03:15 UTC to Friday, 25 September 2020 at 03:17 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 : 9906
Unique Edges : 4988
Edges With Duplicates : 13605
Total Edges : 18593
Number of Edge Types : 5
Retweet : 6069
MentionsInRetweet : 7274
Replies to : 633
Tweet : 2617
Mentions : 2000
Self-Loops : 2722
Reciprocated Vertex Pair Ratio : 0.00301574891097956
Reciprocated Edge Ratio : 0.00601336302895323
Connected Components : 2349
Single-Vertex Connected Components : 648
Maximum Vertices in a Connected Component : 2680
Maximum Edges in a Connected Component : 6415
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 11.382603
Graph Density : 9.15215850804733E-05
Modularity : 0.532674
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 9,906 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 Saturday, 26 September 2020 at 07:17 UTC.
The requested start date was Saturday, 26 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, 2-minute period from Wednesday, 23 September 2020 at 03:15 UTC to Friday, 25 September 2020 at 03:17 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:
[7026] covid,19 [455] 19,cases [344] 200,000 [307] 19,pandemic [286] 000,000 [273] surpassed,000 [272] 000,covid [265] airline,workers [224] united,states [224] positive,covid Top Word Pairs in Tweet in G1:
[632] covid,19 [42] protokol,kesehatan [39] penyebaran,covid [20] 19,cases [14] 19,#hidupsehatterapkan3m [13] 19,vaccine [12] casos,covid [12] kesehatan,covid [12] menggunakan,masker [12] 19,pandemic Top Word Pairs in Tweet in G2:
[314] covid,19 [259] surpassed,000 [259] 000,000 [176] 000,covid [174] nbc,news [174] news,confirms [174] confirms,surpassed [174] 19,cases [173] kylegriffin1,nbc [85] breaking,united Top Word Pairs in Tweet in G3:
[184] young,people [180] message,young [179] share,special [179] special,message [137] 12,hours [137] hours,go [137] go,tomorrow [137] tomorrow,reunite [137] reunite,virtually [137] virtually,bts_twt Top Word Pairs in Tweet in G4:
[175] covid,19 [80] passed,million [42] 19,cases [41] united,states [41] million,cases [40] holy,shit [40] shit,united [40] states,passed [40] million,covid [40] cases,passed Top Word Pairs in Tweet in G5:
[216] covid,19 [46] contra,covid [40] 24,horas [38] últimas,24 [26] casos,covid [23] asamblea,general [19] transmisión,comunitaria [18] pandemia,covid [17] nuevos,casos [16] general,onu Top Word Pairs in Tweet in G6:
[160] covid,19 [133] 200,000 [129] joebiden,200 [126] 000,people [126] people,we've [126] we've,lost [126] lost,covid [126] 19,nobodies [126] nobodies,mr [126] mr,president Top Word Pairs in Tweet in G7:
[152] bts,unicef [152] unicef,others [152] others,protraction [152] protraction,covid [152] covid,19 [152] 19,crisis [152] crisis,future [152] future,generation [152] generation,23 [152] 23,수 Top Word Pairs in Tweet in G8:
[134] covid,19 [56] 19,survival [56] survival,rates [56] rates,cdc [56] cdc,ages [56] ages,19 [56] 19,99 [56] 99,997 [56] 997,ages [56] ages,20 Top Word Pairs in Tweet in G9:
[265] airline,workers [181] covid,19 [177] workers,need [177] need,co [177] co,sponsor [177] sponsor,support [177] support,4634 [177] 4634,bill [177] bill,provide [177] provide,support Top Word Pairs in Tweet in G10:
[65] covid,19 [17] 19,situation [11] discussion,cms [11] cms,covid [11] due,covid [9] pm,narendramodi [9] narendramodi,ji [8] क,ल [8] narendramodi,discussion [8] shri,narendramodi Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: