The graph represents a network of 8,284 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 Friday, 31 July 2020 at 07:29 UTC.
The requested start date was Friday, 31 July 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, 1-minute period from Wednesday, 29 July 2020 at 12:22 UTC to Thursday, 30 July 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 : 8284
Unique Edges : 4530
Edges With Duplicates : 8092
Total Edges : 12622
Number of Edge Types : 5
Tweet : 2338
Retweet : 3782
MentionsInRetweet : 4361
Replies to : 526
Mentions : 1615
Self-Loops : 2363
Reciprocated Vertex Pair Ratio : 0.00505130228887135
Reciprocated Edge Ratio : 0.0100518297471337
Connected Components : 2601
Single-Vertex Connected Components : 609
Maximum Vertices in a Connected Component : 870
Maximum Edges in a Connected Component : 1764
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.433149
Graph Density : 9.27912656180656E-05
Modularity : 0.580752
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,284 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 Friday, 31 July 2020 at 07:29 UTC.
The requested start date was Friday, 31 July 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, 1-minute period from Wednesday, 29 July 2020 at 12:22 UTC to Thursday, 30 July 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:
[2926] covid,19 [93] due,covid [85] social,media [83] positive,covid [79] 19,cases [75] 19,pandemic [75] during,covid [71] contra,covid [70] louie,gohmert [70] positif,covid Top Word Pairs in Tweet in G1:
[304] covid,19 [10] sa,covid [10] 19,cases [9] #কর,ন [9] ন,য [9] য,ব [9] ব,যর [9] যর,থমমত [9] positive,covid [9] 19,pandemic Top Word Pairs in Tweet in G2:
[68] covid,19 [16] hcq,zinc [11] gohmert,take [11] take,hydroxychloroquine [11] hydroxychloroquine,covid [11] 19,treatment [11] high,risk [10] anyone,seen [10] seen,story [10] story,guy Top Word Pairs in Tweet in G3:
[29] covid,19 [20] क,र [18] प,ज [13] न,प [11] ट,व [10] rahulgandhi,right [9] ज,र [9] 16,प [9] प,ल [9] ल,सकर Top Word Pairs in Tweet in G4:
[41] covid,19 [31] legal,prescribe [31] prescribe,drugs [31] drugs,women [31] women,sole [31] sole,purpose [31] purpose,killing [31] killing,unborn [31] unborn,child [31] child,illegal Top Word Pairs in Tweet in G5:
[52] covid,19 [34] state,ohio [18] practicing,physicians [17] ohio,officially [17] officially,bans [17] bans,pharmacies [17] pharmacies,giving [17] giving,hcq [17] hcq,prescriptions [17] prescriptions,patients Top Word Pairs in Tweet in G6:
[46] covid,19 [9] contra,covid [6] two,trader [6] trader,joe [6] joe,customers [6] customers,asked [6] asked,put [6] put,masks [6] masks,attacked [6] attacked,employees Top Word Pairs in Tweet in G7:
[56] covid,19 [32] nothing,stop [32] stop,casting [32] casting,vote [32] vote,joe [32] joe,biden [32] biden,covid [32] 19,long [32] long,lines [32] lines,mail Top Word Pairs in Tweet in G8:
[29] covid,19 [22] treat,covid [18] medical,degree [17] social,media [15] media,companies [15] companies,promote [15] promote,bill [15] bill,gates [15] gates,medical [15] degree,pushes Top Word Pairs in Tweet in G9:
[18] covid,19 [7] members,congress [7] fun,fact [7] fact,guy [7] guy,right [7] right,charge [7] charge,covid [7] 19,data [7] data,rerouted [7] rerouted,away Top Word Pairs in Tweet in G10:
[24] covid,19 [17] quote,hard [17] hard,nosed [17] nosed,look [17] look,ev [17] ev,dence [17] dence,sug [17] sug,gests [17] gests,keep [17] keep,ing Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: