The graph represents a network of 11,484 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, 25 April 2022 at 08:46 UTC.
The requested start date was Monday, 25 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 3-day, 0-hour, 2-minute period from Thursday, 21 April 2022 at 12:17 UTC to Sunday, 24 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 : 11484
Unique Edges : 6966
Edges With Duplicates : 11469
Total Edges : 18435
Number of Edge Types : 5
Replies to : 1336
Mentions : 2691
Tweet : 2906
Retweet : 5213
MentionsInRetweet : 6289
Self-Loops : 2969
Reciprocated Vertex Pair Ratio : 0.00574182302881165
Reciprocated Edge Ratio : 0.0114180854317464
Connected Components : 3111
Single-Vertex Connected Components : 917
Maximum Vertices in a Connected Component : 2008
Maximum Edges in a Connected Component : 4261
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 12.855634
Graph Density : 7.4383427436066E-05
Modularity : 0.593516
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 11,484 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, 25 April 2022 at 08:46 UTC.
The requested start date was Monday, 25 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 3-day, 0-hour, 2-minute period from Thursday, 21 April 2022 at 12:17 UTC to Sunday, 24 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:
[1514] covid,19 [316] long,covid [146] manuelrico,hoy [139] tests,positive [138] million,people [130] covid,deaths [129] positive,covid [125] อ,covid [124] killed,million [123] gmmtv,ขอแจ Top Word Pairs in Tweet in G1:
[229] covid,19 [14] covid,cases [12] due,covid [12] positive,covid [12] contra,covid [9] covid,still [9] during,covid [9] long,covid [8] 19,vaccine [8] casos,covid Top Word Pairs in Tweet in G2:
[25] long,covid [17] 10,000 [15] 000,patients [15] patients,hospital [13] classic,moment [13] moment,winter [13] winter,covid [13] covid,panic [13] panic,'expert' [13] 'expert',claiming Top Word Pairs in Tweet in G3:
[27] covid,cases [21] covid,19 [11] mohfw_india,mansukhmandviya [10] board,exam [8] 4th,wave [7] please,sir [7] due,covid [7] 300,covid [7] thousands,students [7] covid,warriors Top Word Pairs in Tweet in G4:
[24] children,hospitalised [23] covid,19 [23] premier,mark [23] mark,mcgowan's [23] mcgowan's,children [18] covid,vaccinated [16] media,reporting [16] reporting,one [16] one,western [16] western,australian Top Word Pairs in Tweet in G5:
[12] life,saving [12] saving,drugs [12] drugs,immunocompromised [12] immunocompromised,high [12] high,risk [12] risk,approved [12] approved,months [12] months,supply [12] supply,many [11] zeynep,life Top Word Pairs in Tweet in G6:
[25] studien,wenigen [25] wenigen,jahren [25] jahren,wahrscheinlich [25] wahrscheinlich,viele [25] viele,menschen [25] menschen,beschäftigen [25] beschäftigen,covid [25] covid,patienten [25] patienten,leiden [25] leiden,oft Top Word Pairs in Tweet in G7:
[24] antilles,mettent [24] mettent,branlée [24] branlée,macron [24] macron,premiers [24] premiers,résultats [24] résultats,tombent [24] tombent,bravo [24] bravo,aux [24] aux,lfi [24] lfi,là Top Word Pairs in Tweet in G8:
[146] manuelrico,hoy [115] días,gobierno [115] gobierno,ayuso [115] ayuso,aprobó [115] aprobó,protocolo [114] protocolo,impedía [114] impedía,trasladar [114] trasladar,hospital [114] hospital,residentes [109] residentes,vulnerab Top Word Pairs in Tweet in G9:
[128] covid,19 [123] gmmtv,ขอแจ [123] ขอแจ,งให [123] งให,ทราบว [123] ทราบว,า [123] น,กแสดงในส [123] กแสดงในส,งก [123] งก,ด [123] ด,gmmtv [123] gmmtv,พบเช Top Word Pairs in Tweet in G10:
[68] covid,19 [37] contra,covid [22] lucha,contra [18] logros,victoria [18] victoria,modelo [18] modelo,venezolano [18] venezolano,lucha [18] 19,pertenecen [17] nicolasmaduro,logros [15] pertenecen,médicos Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: