The graph represents a network of 7,599 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 Wednesday, 18 March 2020 at 07:18 UTC.
The requested start date was Wednesday, 18 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-day, 0-hour, 0-minute period from Monday, 16 March 2020 at 10:21 UTC to Tuesday, 17 March 2020 at 10:22 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 : 7599
Unique Edges : 7514
Edges With Duplicates : 553
Total Edges : 8067
Number of Edge Types : 4
MentionsInRetweet : 4639
Replies to : 215
Mentions : 1001
Tweet : 2212
Self-Loops : 2212
Reciprocated Vertex Pair Ratio : 0.00403650403650404
Reciprocated Edge Ratio : 0.00804055235098759
Connected Components : 2307
Single-Vertex Connected Components : 494
Maximum Vertices in a Connected Component : 150
Maximum Edges in a Connected Component : 220
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.652243
Graph Density : 9.90868937500643E-05
Modularity : 0.827369
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 7,599 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 Wednesday, 18 March 2020 at 07:18 UTC.
The requested start date was Wednesday, 18 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-day, 0-hour, 0-minute period from Monday, 16 March 2020 at 10:21 UTC to Tuesday, 17 March 2020 at 10:22 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:
[4280] covid,19 [118] #covid,19 [118] positive,covid [114] due,covid [84] tested,positive [83] help,anyone [82] recovering,covid [82] 19,share [82] share,symptoms [82] symptoms,experience Top Word Pairs in Tweet in G1:
[310] covid,19 [13] #covid,19 [10] virus,covid [9] sa,covid [9] 19,outbreak [8] chinese,virus [7] over,covid [7] coronavirus,covid [7] 19,pandemic [7] covid,chinese Top Word Pairs in Tweet in G2:
[128] covid,19 [73] ทำบ,ตร [73] ตร,30 [72] 30,บร [72] บร,การค [72] การค,ดกรอง [72] ดกรอง,200 [71] ถ,าใครจะไปตรวจ [71] าใครจะไปตรวจ,covid [71] 19,ด Top Word Pairs in Tweet in G3:
[84] covid,19 [81] recovering,covid [81] 19,share [81] share,symptoms [81] symptoms,experience [81] experience,case [81] case,help [81] help,anyone [80] goughcj,recovering [3] 24,oke Top Word Pairs in Tweet in G4:
[93] covid,19 [27] year,old [20] aidilarazak,breaking [20] breaking,sarawak [20] sarawak,confirms [20] confirms,malaysia's [20] malaysia's,first [20] first,death [20] death,covid [20] 19,deceased Top Word Pairs in Tweet in G5:
[43] covid,19 [18] #envivo,círculo [18] círculo,rojo [18] rojo,vladimirpadrino [18] vladimirpadrino,autoridades [18] autoridades,civiles [18] civiles,militares [18] militares,inician [18] inician,operativo [18] operativo,dar Top Word Pairs in Tweet in G6:
[46] covid,19 [13] pm,narendramodi [10] many,people [10] people,highlighting [10] highlighting,different [10] different,aspects [10] aspects,india [10] india,combating [10] combating,covid [10] 19,certainly Top Word Pairs in Tweet in G7:
[73] covid,19 [29] #awaninews,#awani745 [28] hari,ini [25] 501awani,covid [22] 19,dua [22] dua,kematian [22] kematian,malaysia [22] malaysia,dicatat [22] dicatat,hari [22] ini,#awaninews Top Word Pairs in Tweet in G8:
[60] covid,19 [34] know,necessary [34] necessary,stop [34] stop,spread [34] spread,covid [34] 19,self [34] self,isolation [34] isolation,school [34] school,etc [34] etc,everything Top Word Pairs in Tweet in G9:
[38] covid,19 [27] musim,covid [19] someone,love [16] bodohkan,orang [16] orang,tabligh [16] tabligh,dengan [16] dengan,orang [16] orang,agama [16] agama,berkumpul [16] berkumpul,ramai Top Word Pairs in Tweet in G10:
[27] alerte,info [27] info,emmanuelmacron [27] emmanuelmacron,s'exprimera [27] s'exprimera,ce [27] ce,soir [27] soir,20h00 [27] 20h00,téléivision [27] téléivision,#covid19france [26] bfmtv,alerte [18] covid,19 Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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: