The graph represents a network of 7,658 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, 14 July 2020 at 07:01 UTC.
The requested start date was Tuesday, 14 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, 2-minute period from Sunday, 12 July 2020 at 12:15 UTC to Monday, 13 July 2020 at 12:17 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 : 7658
Unique Edges : 3932
Edges With Duplicates : 8413
Total Edges : 12345
Number of Edge Types : 5
Retweet : 3922
MentionsInRetweet : 4427
Tweet : 2298
Replies to : 333
Mentions : 1365
Self-Loops : 2329
Reciprocated Vertex Pair Ratio : 0.00573065902578797
Reciprocated Edge Ratio : 0.0113960113960114
Connected Components : 2297
Single-Vertex Connected Components : 600
Maximum Vertices in a Connected Component : 1053
Maximum Edges in a Connected Component : 2137
Maximum Geodesic Distance (Diameter) : 37
Average Geodesic Distance : 10.302195
Graph Density : 0.000101761155261806
Modularity : 0.55775
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 7,658 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, 14 July 2020 at 07:01 UTC.
The requested start date was Tuesday, 14 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, 2-minute period from Sunday, 12 July 2020 at 12:15 UTC to Monday, 13 July 2020 at 12:17 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:
[4768] covid,19 [263] positive,covid [244] tested,positive [139] contra,covid [129] dr,fauci [128] please,watch [128] 19,recovered [126] watch,especially [126] especially,ve [126] ve,tested Top Word Pairs in Tweet in G1:
[477] covid,19 [14] positive,covid [13] #covid,19 [12] 19,pandemic [11] 19,cases [8] 19,patients [8] ச,ய [8] ய,த [7] tested,positive [7] during,covid Top Word Pairs in Tweet in G2:
[104] covid,19 [32] dr,fauci [26] vote,trump [13] vote,biden [13] biden,vote [13] vote,dr [13] fauci,science [13] science,vote [13] trump,vote [13] trump,covid Top Word Pairs in Tweet in G3:
[108] covid,19 [102] outrageous,lies [101] lies,ones [101] ones,covid [101] 19,everyone [101] everyone,lying [101] lying,cdc [101] cdc,media [101] media,democrats [101] democrats,doctors Top Word Pairs in Tweet in G4:
[110] covid,19 [24] contra,covid [12] 19,#unidosporlasalud [11] pueblo,venezolano [10] comisión,presidencial [10] #covid,19 [10] presidente,nicolasmaduro [9] casos,covid [8] casos,comunitarios [8] recibir,medicamento Top Word Pairs in Tweet in G5:
[140] covid,19 [126] please,watch [126] watch,especially [126] especially,ve [126] ve,tested [126] tested,positive [126] positive,covid [126] 19,recovered [125] killbillevol1,please [6] think,reason Top Word Pairs in Tweet in G6:
[95] covid,19 [69] sen,john [69] john,cornyn [69] cornyn,during [69] during,tv [69] tv,interview [69] interview,last [69] last,week [69] week,unclear [69] unclear,whether Top Word Pairs in Tweet in G7:
[56] covid,19 [51] hi,dipshit [51] dipshit,pediatric [51] pediatric,doctor [51] doctor,treated [51] treated,children [51] children,#covid__19 [50] mommyfourboys,hi [27] died,covid [25] story,yesterday Top Word Pairs in Tweet in G8:
[36] covid,19 [24] #justice_with_ews,#justice_with_ews [9] congress,ruled [9] ruled,states [9] cases,india [9] 78,254 [9] 19,situation [8] states,accounts [8] accounts,29 [8] 29,cases Top Word Pairs in Tweet in G9:
[83] covid,19 [48] contra,covid [37] vacuna,rusa [37] rusa,contra [36] última,hora [32] ensayos,clínicos [32] clínicos,confirman [32] confirman,seguridad [32] seguridad,vacuna [31] rtultimahora,última Top Word Pairs in Tweet in G10:
[74] covid,19 [50] someone,died [50] died,minutes [50] minutes,covid [50] 19,florida [50] florida,yesterday [50] yesterday,opening [50] opening,disney [50] disney,tomorrow [50] tomorrow,wow Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: