The graph represents a network of 10,679 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, 17 October 2022 at 08:42 UTC.
The requested start date was Monday, 17 October 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 2-day, 0-hour, 2-minute period from Wednesday, 12 October 2022 at 12:17 UTC to Friday, 14 October 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 : 10679
Unique Edges : 5947
Edges With Duplicates : 11828
Total Edges : 17775
Number of Edge Types : 5
Retweet : 5465
MentionsInRetweet : 6457
Tweet : 2372
Replies to : 1355
Mentions : 2126
Self-Loops : 2401
Reciprocated Vertex Pair Ratio : 0.00492146596858639
Reciprocated Edge Ratio : 0.00979472751901636
Connected Components : 2410
Single-Vertex Connected Components : 617
Maximum Vertices in a Connected Component : 3226
Maximum Edges in a Connected Component : 7021
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 10.226746
Graph Density : 8.41617954347983E-05
Modularity : 0.584739
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 10,679 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, 17 October 2022 at 08:42 UTC.
The requested start date was Monday, 17 October 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 2-day, 0-hour, 2-minute period from Wednesday, 12 October 2022 at 12:17 UTC to Friday, 14 October 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:
[1465] covid,19 [321] never,tested [319] long,covid [270] covid,vaccine [179] contra,covid [174] covid,hearing [173] preventing,transmission [172] tested,preventing [172] director,admits [161] breaking,covid Top Word Pairs in Tweet in G1:
[149] covid,19 [22] long,covid [20] #economia,#arredamento [20] #arredamento,#governo [20] più,#casaitaliaradio [20] #casa,#home [20] #news,#economia [20] #radio,#casa [20] contra,covid [20] #covid,#news Top Word Pairs in Tweet in G2:
[86] parle,plus [84] eu,covid [84] cnews,danielguichard_ [83] boutaour,cnews [82] suis,vacciné [82] ai,eu [82] vacciné,ai [82] jours,fièvre [82] fièvre,ivermectine [82] covid,jours Top Word Pairs in Tweet in G3:
[157] preventing,transmission [157] tested,preventing [156] never,tested [154] admits,#vaccine [154] #pfizer,director [154] hearing,#pfizer [154] #vaccine,never [154] director,admits [154] breaking,covid [154] covid,hearing Top Word Pairs in Tweet in G4:
[51] covid,19 [43] long,covid [13] true,victim [13] thought,true [13] germany,27 [13] 94,covid [13] canadians,died [13] died,covid [13] victim,pandemic [13] 27,94 Top Word Pairs in Tweet in G5:
[23] mother,god [22] #covid,variants [21] worse,cdc [21] happen,omicron [21] herd,immunity [21] seems,#covid [21] sick,transmission [21] omicron,mild [21] covid,airborne [21] mild,kids Top Word Pairs in Tweet in G6:
[46] never,tested [34] covid,vaccine [34] prevent,transmission [26] blood,clots [22] covid,19 [19] young,skinny [19] admitted,covid [19] third,time [19] realmichaelseif,pfizer [19] study,florida Top Word Pairs in Tweet in G7:
[135] manuelrico,hoy [110] aprobó,protocolo [110] gobierno,ayuso [110] impedía,trasladar [110] protocolo,impedía [110] ayuso,aprobó [110] días,gobierno [98] trasladar,hospital [98] hospital,residentes [93] residentes,vulnerab Top Word Pairs in Tweet in G8:
[60] people's,behaviour [60] control,people's [32] public,figures [32] need,help [32] comment,tweet [32] clips,public [32] tweet,links [32] links,statements [32] statements,clips [32] help,comment Top Word Pairs in Tweet in G9:
[73] covid,19 [67] 19,vaccine [66] 450,million [66] billion,doses [66] doses,covid [66] purchase,billion [66] million,eu [66] vaccine,450 [65] eu,residents [65] biggest,corruption Top Word Pairs in Tweet in G10:
[78] vacina,nunca [78] presidente,mercados [78] ontem,presidente [78] admitiu,sua [78] desenvolvidos,pfizer [78] sua,vacina [78] internacionais,desenvolvidos [78] janine,small [78] mercados,internacionais [78] pfizer,janine Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: