The graph represents a network of 4,402 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 Tuesday, 17 March 2020 at 07:01 UTC.
The requested start date was Tuesday, 17 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-minute period from Monday, 16 March 2020 at 10:18 UTC to Monday, 16 March 2020 at 10:20 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 : 4402
Unique Edges : 4367
Edges With Duplicates : 385
Total Edges : 4752
Number of Edge Types : 4
Tweet : 1283
MentionsInRetweet : 2798
Mentions : 562
Replies to : 109
Self-Loops : 1283
Reciprocated Vertex Pair Ratio : 0.0026994601079784
Reciprocated Edge Ratio : 0.00538438528268023
Connected Components : 1347
Single-Vertex Connected Components : 294
Maximum Vertices in a Connected Component : 119
Maximum Edges in a Connected Component : 151
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.921373
Graph Density : 0.000172557948861525
Modularity : 0.819289
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 4,402 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 Tuesday, 17 March 2020 at 07:01 UTC.
The requested start date was Tuesday, 17 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-minute period from Monday, 16 March 2020 at 10:18 UTC to Monday, 16 March 2020 at 10:20 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:
[2756] covid,19 [78] #covid,19 [71] 19,ท [66] positive,covid [66] บ,covid [64] due,covid [63] hand,sanitizer [62] ce,soir [59] coronavirus,covid [56] 19,cases Top Word Pairs in Tweet in G1:
[230] covid,19 [11] द,श [9] 19,ancora [9] ancora,due [9] due,decessi [9] decessi,san [9] san,martino [8] भ,रत [7] coronavirus,covid [7] spread,covid Top Word Pairs in Tweet in G2:
[28] covid,19 [11] #envivo,círculo [11] círculo,rojo [11] rojo,vladimirpadrino [11] vladimirpadrino,autoridades [11] autoridades,civiles [11] civiles,militares [11] militares,inician [11] inician,operativo [11] operativo,dar Top Word Pairs in Tweet in G3:
[67] covid,19 [65] บ,covid [48] เธรดรวมพ,บ [48] 19,ช [48] ช,นชอบมากเก [48] นชอบมากเก,บไว [48] บไว,ด [48] ด,ส [48] ส,ก [48] ก,บความเหงา55555 Top Word Pairs in Tweet in G4:
[56] covid,19 [21] many,people [21] people,highlighting [21] highlighting,different [21] different,aspects [21] aspects,india [21] india,combating [21] combating,covid [21] 19,certainly [21] certainly,boosting Top Word Pairs in Tweet in G5:
[39] menteri,jabatan [39] jabatan,perdana [39] perdana,menteri [39] menteri,hal [39] hal,ehwal [39] ehwal,agama [37] kenyataan,media [37] media,menteri [37] agama,penangguhan [37] penangguhan,semua Top Word Pairs in Tweet in G6:
[63] covid,19 [28] สมมต,ว [28] ว,าค [28] าค,าตรวจ [28] าตรวจ,covid [28] 19,คนละ [28] คนละ,000 [28] 000,บาท [28] บาท,เง [28] เง,น Top Word Pairs in Tweet in G7:
[82] covid,19 [23] coronavirus,dan [23] dan,covid [18] berikut,adalah [18] adalah,senarai [18] senarai,hospital [18] hospital,kerajaan [18] kerajaan,selangor [18] selangor,yang [18] yang,menawarkan Top Word Pairs in Tweet in G8:
[48] please,circulate [48] circulate,french [48] french,government [48] government,issued [48] issued,warning [48] warning,against [48] against,taking [48] taking,anti [48] anti,inflammatory [48] inflammatory,drugs Top Word Pairs in Tweet in G9:
[43] จากสถานการณ,การแพร [43] การแพร,ระบาดของไวร [43] ระบาดของไวร,ส [43] ส,covid [43] covid,19 [43] 19,ท [43] ท,ร [43] ร,นแรงข [43] นแรงข,น [43] น,ทางพ Top Word Pairs in Tweet in G10:
[24] tidak,perlu [18] boleh,pergi [18] covid,19 [17] cuti,dibekukan [17] dibekukan,kerja [17] kerja,lebih [17] lebih,masa [17] masa,berisiko [17] berisiko,tp [17] tp,ada Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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: