The graph represents a network of 11,999 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 Monday, 03 August 2020 at 07:46 UTC.
The requested start date was Monday, 03 August 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 4-day, 0-hour, 0-minute period from Wednesday, 29 July 2020 at 12:22 UTC to Sunday, 02 August 2020 at 12:23 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 : 11999
Unique Edges : 6686
Edges With Duplicates : 12265
Total Edges : 18951
Number of Edge Types : 5
Retweet : 5716
MentionsInRetweet : 6635
Tweet : 3467
Replies to : 748
Mentions : 2385
Self-Loops : 3506
Reciprocated Vertex Pair Ratio : 0.00409319899244332
Reciprocated Edge Ratio : 0.0081530260269677
Connected Components : 3607
Single-Vertex Connected Components : 916
Maximum Vertices in a Connected Component : 1375
Maximum Edges in a Connected Component : 2871
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 8.224776
Graph Density : 6.64541126051775E-05
Modularity : 0.577737
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 11,999 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 Monday, 03 August 2020 at 07:46 UTC.
The requested start date was Monday, 03 August 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 4-day, 0-hour, 0-minute period from Wednesday, 29 July 2020 at 12:22 UTC to Sunday, 02 August 2020 at 12:23 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:
[4152] covid,19 [202] positive,covid [159] tested,positive [124] due,covid [120] 19,cases [111] amit,shah [110] tested,covid [105] home,minister [104] 19,pandemic [103] covid,cases Top Word Pairs in Tweet in G1:
[411] covid,19 [25] positive,covid [19] amit,shah [16] home,minister [13] sa,covid [13] tests,positive [12] due,covid [12] tested,positive [11] covid,cases [11] 19,vaccine Top Word Pairs in Tweet in G2:
[143] covid,19 [56] home,minister [42] shri,amitshah [41] क,र [39] amitshah,ji [36] speedy,recovery [28] tested,positive [26] positive,covid [25] minister,shri [23] amit,shah Top Word Pairs in Tweet in G3:
[102] covid,19 [16] hcq,zinc [14] medical,degree [13] treat,covid [13] social,media [13] media,companies [13] companies,promote [13] promote,bill [13] bill,gates [13] gates,medical Top Word Pairs in Tweet in G4:
[98] covid,19 [72] back,home [70] covid,discharged [69] 3613,tested [69] tested,covid [69] discharged,back [69] home,solitary [69] solitary,quarantine [69] quarantine,grace [69] grace,almighty Top Word Pairs in Tweet in G5:
[77] covid,19 [39] social,media [34] state,ohio [32] media,lets [32] lets,people [32] people,fast [32] fast,food [32] food,drugs [32] drugs,use [32] use,riot Top Word Pairs in Tweet in G6:
[33] far,greater [32] kerpen,cdc [32] particularly,high [32] high,schools [32] deaths,covid [31] seeing,sadly [31] sadly,far [31] greater,suicides [31] suicides,deaths [31] legal,prescribe Top Word Pairs in Tweet in G7:
[103] covid,19 [20] contra,covid [16] 19,#diosdadopalantevenceremos [12] 24,horas [11] últimas,24 [9] carolys,pérez [9] vacuna,contra [8] toma,nota [6] padrino,lópez [6] lópez,bloqueado Top Word Pairs in Tweet in G8:
[17] covid,cases [9] nhs,doctor [9] doctor,surrey [9] surrey,covid [9] cases,never [9] never,over [9] over,run [9] run,quiet [9] quiet,several [9] several,months Top Word Pairs in Tweet in G9:
[71] covid,19 [33] nothing,stop [33] stop,casting [33] casting,vote [33] vote,joe [33] joe,biden [33] biden,covid [33] 19,long [33] long,lines [33] lines,mail Top Word Pairs in Tweet in G10:
[64] covid,19 [19] última,hora [11] hora,80 [11] 80,funcionarios [11] funcionarios,cicpc [11] cicpc,táchira [11] táchira,dieron [11] dieron,positivo [11] positivo,covid [10] albertorodnews,última Top Replied-To in Entire Graph:
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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: