The graph represents a network of 12,163 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, 21 January 2022 at 08:58 UTC.
The requested start date was Friday, 21 January 2022 at 01:01 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 2-day, 0-hour, 1-minute period from Tuesday, 18 January 2022 at 12:18 UTC to Thursday, 20 January 2022 at 12:20 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 : 12163
Unique Edges : 7123
Edges With Duplicates : 11378
Total Edges : 18501
Number of Edge Types : 5
Retweet : 5286
MentionsInRetweet : 6122
Tweet : 3764
Replies to : 985
Mentions : 2344
Self-Loops : 3799
Reciprocated Vertex Pair Ratio : 0.00414530380713429
Reciprocated Edge Ratio : 0.00825638240086909
Connected Components : 3986
Single-Vertex Connected Components : 1106
Maximum Vertices in a Connected Component : 497
Maximum Edges in a Connected Component : 1104
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.263285
Graph Density : 6.22268886867974E-05
Modularity : 0.584324
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 12,163 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, 21 January 2022 at 08:58 UTC.
The requested start date was Friday, 21 January 2022 at 01:01 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 2-day, 0-hour, 1-minute period from Tuesday, 18 January 2022 at 12:18 UTC to Thursday, 20 January 2022 at 12:20 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:
[1831] covid,19 [247] covid,tests [207] contra,covid [156] covid,cases [155] free,covid [132] tested,positive [127] positive,covid [104] covid,restrictions [101] covid,test [94] covid,positive Top Word Pairs in Tweet in G1:
[285] covid,19 [22] contra,covid [20] casos,covid [14] covid,test [13] positive,covid [12] long,covid [11] covid,tests [10] free,covid [9] positivo,covid [9] contagios,covid Top Word Pairs in Tweet in G2:
[52] covid,cases [35] day,day [30] postpone,gate [29] covid,19 [29] increasing,day [29] gate,2022 [28] eduminofindia,iitkgp [27] cases,increasing [25] day,difficult [25] difficult,time Top Word Pairs in Tweet in G3:
[15] people,covid [14] think,people [14] covid,vaccine [14] vaccine,trusted [14] trusted,took [14] took,shorter [14] shorter,time [14] time,develop [14] develop,polio [13] lenniesaurus,think Top Word Pairs in Tweet in G4:
[37] covid,need [37] need,stand [37] stand,close [37] close,grocery [37] grocery,store [37] store,honestly [36] 1sassywife,covid [18] tested,positive [18] positive,covid [14] utah,gop Top Word Pairs in Tweet in G5:
[12] covid,19 [11] covid,positive [10] ecisveep,notice [10] notice,#arvindkejriwal [10] #arvindkejriwal,violating [10] violating,covid [10] 19,norms [10] norms,piece [10] piece,paper [10] paper,today Top Word Pairs in Tweet in G6:
[33] covid,19 [13] 19,cases [12] hong,kong [8] omicron,variant [7] red,cross [7] cross,teams [7] teams,tonga [7] tonga,confirmed [7] confirmed,salt [7] salt,water Top Word Pairs in Tweet in G7:
[8] covid,19 [6] vérité,éclate [6] éclate,20 [6] 20,hospitalisations [6] hospitalisations,sont [6] sont,réalité [6] réalité,covid [6] covid,non [6] non,covid [6] covid,même Top Word Pairs in Tweet in G8:
[14] long,covid [8] flowflex,lateral [8] lateral,flow [8] flow,test [8] covid,19 [7] kids,covid [7] covid,cases [7] positive,covid [7] covid,decided [7] decided,little Top Word Pairs in Tweet in G9:
[16] contre,covid [15] japon,être [15] être,vacciné [15] vacciné,contre [15] covid,faut [15] faut,faire [15] faire,demande [15] demande,signer [15] signer,obligatoirement [15] obligatoirement,décharge Top Word Pairs in Tweet in G10:
[54] manuelrico,hoy [44] días,gobierno [44] gobierno,ayuso [44] ayuso,aprobó [44] aprobó,protocolo [44] protocolo,impedía [44] impedía,trasladar [44] trasladar,hospital [44] hospital,residentes [39] residentes,vulnerab Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: