The graph represents a network of 11,627 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, 28 March 2022 at 08:36 UTC.
The requested start date was Monday, 28 March 2022 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 3-day, 0-hour, 2-minute period from Thursday, 24 March 2022 at 12:17 UTC to Sunday, 27 March 2022 at 12:19 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 : 11627
Unique Edges : 6775
Edges With Duplicates : 11217
Total Edges : 17992
Number of Edge Types : 5
Retweet : 5179
MentionsInRetweet : 6040
Mentions : 2495
Tweet : 3055
Replies to : 1223
Self-Loops : 3093
Reciprocated Vertex Pair Ratio : 0.00436448797104535
Reciprocated Edge Ratio : 0.00869104398516163
Connected Components : 3274
Single-Vertex Connected Components : 991
Maximum Vertices in a Connected Component : 1204
Maximum Edges in a Connected Component : 2415
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.237184
Graph Density : 6.97981502595049E-05
Modularity : 0.592838
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,627 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, 28 March 2022 at 08:36 UTC.
The requested start date was Monday, 28 March 2022 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 3-day, 0-hour, 2-minute period from Thursday, 24 March 2022 at 12:17 UTC to Sunday, 27 March 2022 at 12:19 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:
[2144] covid,19 [250] long,covid [194] contra,covid [163] positive,covid [140] อ,covid [132] manuelrico,hoy [119] tested,positive [109] días,gobierno [109] gobierno,ayuso [109] ayuso,aprobó Top Word Pairs in Tweet in G1:
[290] covid,19 [20] contra,covid [18] long,covid [12] casos,covid [11] covid,test [10] 19,vaccine [9] positive,covid [9] during,covid [8] #covid,19 [8] due,covid Top Word Pairs in Tweet in G2:
[108] covid,19 [31] 19,covid [26] same,number [26] number,deaths [26] deaths,involving [26] involving,covid [26] 19,death [26] death,certificate [26] certificate,19 [26] 19,yr Top Word Pairs in Tweet in G3:
[28] breaking,uk [28] uk,hospitals [28] hospitals,admit [28] admit,bribed [28] bribed,treat [28] treat,patients [28] patients,sick [28] sick,covid [27] djttracker,breaking [26] wakeawake1,don Top Word Pairs in Tweet in G4:
[7] covid,19 [4] 4th,covid [4] 19,vaccine [4] vaccine,doses [4] doses,looming [4] looming,experts [4] experts,fast [4] fast,experts [4] experts,focus [4] focus,preventing Top Word Pairs in Tweet in G5:
[44] psa,please [44] please,test [44] test,covid [44] covid,having [44] having,gastrointestinal [44] gastrointestinal,symptoms [44] symptoms,such [44] such,nausea [44] nausea,vomiting [44] vomiting,diarrhea Top Word Pairs in Tweet in G6:
[99] covid,19 [48] positive,covid [31] hope,tested [31] tested,positive [25] weverse,announcement [25] announcement,bts_twt [25] bts_twt,hope [25] 19,currently [25] currently,presenting [25] presenting,extraordinary Top Word Pairs in Tweet in G7:
[23] tentative,sabotage [23] sabotage,l'international [23] l'international,covid [23] covid,summit [23] summit,l'ihu [23] l'ihu,semaine [23] semaine,prochaine [23] prochaine,#ics [23] #ics,merci [23] merci,protester Top Word Pairs in Tweet in G8:
[11] covid,19 [10] 12,14 [9] त,र [9] one,big [9] big,question [8] द,शव [8] शव,य [8] य,प [8] प,छ [8] छ,त Top Word Pairs in Tweet in G9:
[132] manuelrico,hoy [109] días,gobierno [109] gobierno,ayuso [109] ayuso,aprobó [109] aprobó,protocolo [109] protocolo,impedía [109] impedía,trasladar [109] trasladar,hospital [109] hospital,residentes [105] residentes,vulnerab Top Word Pairs in Tweet in G10:
[2] come,forth Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
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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:
Top Mentioned in G4:
Top Mentioned in G5:
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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 G9:
Top Tweeters in G10: