The graph represents a network of 1,028 Twitter users whose recent tweets contained "long covid geocode:47.2257,-120.2650,250mi", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 02 December 2022 at 18:23 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 8-minute period from Wednesday, 23 November 2022 at 23:41 UTC to Friday, 02 December 2022 at 17:49 UTC.
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 : 1028
Unique Edges : 770
Edges With Duplicates : 231
Total Edges : 1001
Number of Edge Types : 3
Tweet : 150
Replies to : 419
Mentions : 432
Self-Loops : 150
Reciprocated Vertex Pair Ratio : 0.00277777777777778
Reciprocated Edge Ratio : 0.00554016620498615
Connected Components : 318
Single-Vertex Connected Components : 103
Maximum Vertices in a Connected Component : 137
Maximum Edges in a Connected Component : 207
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.429122
Graph Density : 0.000683870136660365
Modularity : 0.762798
NodeXL Version : 1.0.1.508
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=285373
Data Import : The graph represents a network of 1,028 Twitter users whose recent tweets contained "long covid geocode:47.2257,-120.2650,250mi", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 02 December 2022 at 18:23 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 8-minute period from Wednesday, 23 November 2022 at 23:41 UTC to Friday, 02 December 2022 at 17:49 UTC.
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 : TwitterSearch
Graph Term : long covid geocode:47.2257,-120.2650,250mi
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:
[400] long,covid [61] long,term [26] covid,19 [20] long,time [19] covid,symptoms [19] covid,long [15] before,covid [15] long,before [13] term,effects [12] health,issues Top Word Pairs in Tweet in G1:
[61] long,covid [17] covid,19 [9] long,term [7] long,time [6] public,health [6] covid,symptoms [5] next,public [4] great,recession [4] impact,rivaling [4] economic,impact Top Word Pairs in Tweet in G2:
[3] long,covid [2] long,time [2] made,long [2] covid,bs [2] long,term Top Word Pairs in Tweet in G3:
[20] long,covid [5] covid,immunity [4] immunity,problems [4] long,term [4] covid,covid [3] immediate,deaths [3] tip,iceberg [3] majority,population [2] knowledge,gap [2] overwhelming,majority Top Word Pairs in Tweet in G4:
[13] long,covid [3] soniafurstenau,bcndp [2] long,term [2] streets,die [2] bc,ndp [2] health,officials [2] audreymanaster2,theresafromwpg Top Word Pairs in Tweet in G5:
[8] long,covid Top Word Pairs in Tweet in G6:
[18] long,covid [5] covid,patients [5] help,long [4] #healthing,#healthnews [4] #healthnews,#covid19 [4] covid,19 [3] patients,day [3] clinics,aim [3] 19,clinics [3] aim,help Top Word Pairs in Tweet in G7:
[27] long,covid [9] health,issues [8] covidsolidarit1,fitterhappieraj [7] janice_diehl,covidsolidarit1 [7] kellyno50174936,og97921596 [7] og97921596,barryhunt008 [5] covid,infections [5] mild,covid [5] covid,symptoms [5] develop,long Top Word Pairs in Tweet in G8:
[6] long,covid [2] covid,long [2] petermayfitz,lizzermack [2] teeth,fall [2] lizzermack,1goodtern Top Word Pairs in Tweet in G9:
[11] long,covid [7] dormant,lyme [5] fightlymenow,willquince [4] covid,lyme [4] lyme,fightlymenow [3] research,lyme [3] time,research [2] rule,fightlymenow [2] virus,willquince [2] checked,lyme Top Word Pairs in Tweet in G10:
[10] long,covid [2] sick,little [2] being,sick [2] theresaboyle,chantz_y [2] common,cold Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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