The graph represents a network of 11,421 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, 11 April 2022 at 08:39 UTC.
The requested start date was Monday, 11 April 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 4-day, 0-hour, 2-minute period from Wednesday, 06 April 2022 at 12:16 UTC to Sunday, 10 April 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 : 11421
Unique Edges : 6413
Edges With Duplicates : 11390
Total Edges : 17803
Number of Edge Types : 5
Retweet : 5206
MentionsInRetweet : 6060
Tweet : 3002
Replies to : 1261
Mentions : 2274
Self-Loops : 3034
Reciprocated Vertex Pair Ratio : 0.00350262697022767
Reciprocated Edge Ratio : 0.00698080279232112
Connected Components : 3246
Single-Vertex Connected Components : 958
Maximum Vertices in a Connected Component : 2277
Maximum Edges in a Connected Component : 4787
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 11.598626
Graph Density : 7.0291752173731E-05
Modularity : 0.582385
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,421 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, 11 April 2022 at 08:39 UTC.
The requested start date was Monday, 11 April 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 4-day, 0-hour, 2-minute period from Wednesday, 06 April 2022 at 12:16 UTC to Sunday, 10 April 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:
[1642] covid,19 [886] î,î [227] ãƒ,ム[222] long,covid [140] zero,covid [135] rishi,sunak [122] manuelrico,hoy [111] ø,ø [101] gobierno,ayuso [101] trasladar,hospital Top Word Pairs in Tweet in G1:
[242] covid,19 [132] î,î [30] âœ,✠[27] 19,vaccine [22] ãƒ,ム[20] long,covid [19] aged,60 [18] doses,covid [18] non,indigenous [18] indigenous,household Top Word Pairs in Tweet in G2:
[28] ontario,rapid [26] covid,19 [25] sick,covid [24] rapid,test [23] rapid,tests [23] first,10 [23] 10,months [23] months,ontario [23] test,program [23] program,went Top Word Pairs in Tweet in G3:
[23] covid,19 [19] long,covid [15] âš,breakingâ [15] breakingâ,cdcgov [15] cdcgov,allow [15] allow,infectious [15] infectious,#covid19 [15] #covid19,cases [15] cases,fly [15] fly,stop Top Word Pairs in Tweet in G4:
[87] lâ,obligation [87] obligation,vaccinale [84] parlement,allemand [84] vaccinale,covid [76] excellente,nouvelle [76] nouvelle,parlement [76] allemand,vient [76] vient,voter [76] voter,contre [76] contre,lâ Top Word Pairs in Tweet in G5:
[14] government,issued [14] issued,covid [14] covid,contracts [14] contracts,incl [14] incl,ªï [14] ªï,serco [14] serco,contact [14] contact,tracing [14] tracing,212m [14] 212m,2024 Top Word Pairs in Tweet in G6:
[11] still,amazes [11] amazes,people [11] people,genuinely [11] genuinely,think [11] think,completely [11] completely,fine [11] fine,expect [11] expect,cev [11] cev,individuals [11] individuals,dodge Top Word Pairs in Tweet in G7:
[24] unbelievably,still [24] still,trying [24] trying,justify [24] justify,initial [24] initial,œlet [24] œlet,ripâ [24] ripâ,stance [24] stance,covid [24] covid,jury [24] jury,wrong Top Word Pairs in Tweet in G8:
[49] covid,lockdown [25] reportedly,shanghai [25] shanghai,part [25] part,recent [25] recent,authoritarian [25] authoritarian,covid [25] covid,response [24] mythinformedmke,reportedly [23] food,riot [23] riot,shanghai Top Word Pairs in Tweet in G9:
[111] rishi,sunak [76] government,enquiry [76] covid,loan [76] loan,fraud [75] sunak,thing [75] thing,need [75] need,government [75] enquiry,furlough [75] furlough,fraud [75] fraud,ppe Top Word Pairs in Tweet in G10:
[122] manuelrico,hoy [101] gobierno,ayuso [101] trasladar,hospital [101] hospital,residentes [58] días,gobierno [58] ayuso,aprobó [58] aprobó,protocolo [58] protocolo,impedía [58] impedía,trasladar [55] residentes,vulnerab Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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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 G9:
Top Tweeters in G10: