The graph represents a network of 10,557 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 Thursday, 28 July 2022 at 09:24 UTC.
The requested start date was Thursday, 28 July 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, 3-minute period from Monday, 25 July 2022 at 12:16 UTC to Wednesday, 27 July 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 : 10557
Unique Edges : 5589
Edges With Duplicates : 11439
Total Edges : 17028
Number of Edge Types : 5
Retweet : 5223
MentionsInRetweet : 5875
Tweet : 2706
Replies to : 1118
Mentions : 2106
Self-Loops : 2738
Reciprocated Vertex Pair Ratio : 0.00525332710716787
Reciprocated Edge Ratio : 0.0104517477644873
Connected Components : 2889
Single-Vertex Connected Components : 1101
Maximum Vertices in a Connected Component : 1338
Maximum Edges in a Connected Component : 2969
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 5.984397
Graph Density : 7.72704935329505E-05
Modularity : 0.565351
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,557 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 Thursday, 28 July 2022 at 09:24 UTC.
The requested start date was Thursday, 28 July 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, 3-minute period from Monday, 25 July 2022 at 12:16 UTC to Wednesday, 27 July 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:
[2567] covid,19 [730] positive,covid [661] tested,positive [575] อ,covid [567] nct,dream [543] dream,tour [489] self,quarantine [462] dream,show [445] เหร,นจว [441] currently,self Top Word Pairs in Tweet in G1:
[210] covid,19 [56] fuck,covid [25] positive,covid [19] contra,covid [16] kena,covid [13] long,covid [12] well,soon [12] covid,jahat [12] during,covid [11] tested,positive Top Word Pairs in Tweet in G2:
[700] covid,19 [543] positive,covid [521] tested,positive [461] self,quarantine [421] nct,dream [414] currently,self [409] 19,currently [406] quarantine,meanwhile [406] meanwhile,nct [406] dream,tour Top Word Pairs in Tweet in G3:
[321] covid,19 [312] dream,show [309] อ,covid [283] นจว,นได [283] นได,ตรวจพบเช [283] ตรวจพบเช,อ [283] ร,ต [283] tour,dream [198] เหร,นจว [172] info,เหร Top Word Pairs in Tweet in G4:
[269] covid,19 [252] อ,covid [245] เหร,นจว [241] 29,31 [239] จะจ,ดข [144] 19,เป [144] เป,นบวก [144] นบวก,ต [144] ต,ดเช [144] ดเช,อ Top Word Pairs in Tweet in G5:
[17] covid,19 [12] covid,vaccine [11] covid,mandates [8] dr,p_mcculloughmd [8] long,covid [8] barbara,ferrer [8] ferrer,lapublichealth [6] children,months [6] covid,vaccines [6] p_mcculloughmd,ivermectin Top Word Pairs in Tweet in G6:
[14] covid,19 [10] long,covid [8] children,young [5] 13,30 [5] 30,15 [5] 15,30 [5] hosting,webinar [5] #longcovid,children [5] young,persons [4] midst,another Top Word Pairs in Tweet in G7:
[148] manuelrico,hoy [110] días,gobierno [110] gobierno,ayuso [110] ayuso,aprobó [110] aprobó,protocolo [110] protocolo,impedía [110] impedía,trasladar [110] trasladar,hospital [110] hospital,residentes [106] residentes,vulnerab Top Word Pairs in Tweet in G8:
[21] covid,19 [10] covid,deaths [7] long,covid [7] 23,months [7] months,old [6] toddler,died [6] died,covid [6] covid,queensland [6] queensland,children's [6] children's,hospital Top Word Pairs in Tweet in G9:
[17] loi,covid [12] chine,lance [12] lance,ce [12] ce,jour [12] jour,confinement [12] confinement,climatique [12] climatique,interdiction [12] interdiction,activités [12] activités,extérieures [12] extérieures,restez Top Word Pairs in Tweet in G10:
[57] とうとう,covidで最も使用される解熱鎮痛剤である [57] covidで最も使用される解熱鎮痛剤である,カロナール [57] カロナール,アセトアミノフェン [57] アセトアミノフェン,に出荷調整がかかってしまいました [57] に出荷調整がかかってしまいました,解熱鎮痛剤が不足するほど [57] 解熱鎮痛剤が不足するほど,全国で発熱者が溢れているということです [57] 全国で発熱者が溢れているということです,未だかつてない感染爆発になっています [56] mikito_777,とうとう [56] 未だかつてない感染爆発になっています,どうか感染対 [36] covidに備えて,飲食物 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: