The graph represents a network of 8,519 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 May 2022 at 10:32 UTC.
The requested start date was Thursday, 26 May 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, 49-minute period from Monday, 23 May 2022 at 11:35 UTC to Wednesday, 25 May 2022 at 12:25 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 : 8519
Unique Edges : 4393
Edges With Duplicates : 10777
Total Edges : 15170
Number of Edge Types : 5
Retweet : 4605
MentionsInRetweet : 5257
Tweet : 3011
Replies to : 556
Mentions : 1741
Self-Loops : 3082
Reciprocated Vertex Pair Ratio : 0.00745614035087719
Reciprocated Edge Ratio : 0.0148019155420113
Connected Components : 2462
Single-Vertex Connected Components : 1267
Maximum Vertices in a Connected Component : 1812
Maximum Edges in a Connected Component : 4441
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 10.39092
Graph Density : 9.49633432675289E-05
Modularity : 0.518081
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,519 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 26 May 2022 at 10:32 UTC.
The requested start date was Thursday, 26 May 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, 49-minute period from Monday, 23 May 2022 at 11:35 UTC to Wednesday, 25 May 2022 at 12:25 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 : Coronavirus
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:
[799] covid,19 [253] 詳細は下記urlより,#新型コロナウイルス [216] #新型コロナウイルス,#covid19 [214] falsos,vacunados [210] vacunados,contra [185] empresas,farmacéuticas [182] principales,empresas [174] presidente,principales [172] lista,falsos [159] farmacéuticas,españa Top Word Pairs in Tweet in G1:
[251] covid,19 [50] coronavirus,pandemic [40] #coronavirus,#covid19 [34] 100,000 [33] #covid19,#coronavirus [31] 19,vaccine [30] coronavirus,cases [29] 000,over [29] over,25 [29] 25,years Top Word Pairs in Tweet in G2:
[103] vaccine,kids [99] 80,symptomatic [99] symptomatic,efficacy [99] efficacy,pfizer [99] pfizer,#covid19 [99] #covid19,vaccine [99] kids,6months [99] 6months,years [99] years,old [99] old,shot Top Word Pairs in Tweet in G3:
[75] scandaleux,faîtes [75] faîtes,votre [75] votre,travail [75] travail,journalistes [75] journalistes,fda [75] fda,approuve [72] approuve,booster [55] booster,11 [55] 11,ans [49] banounhelene,scandaleux Top Word Pairs in Tweet in G4:
[77] england,wales [74] week,johnson [74] johnson,pissed [74] pissed,moët [74] moët,party [74] party,12 [74] 12,254 [74] 254,people [74] people,england [74] wales,died Top Word Pairs in Tweet in G5:
[133] principio,decía [133] decía,cómo [133] cómo,grave [133] grave,coronavirus [133] coronavirus,nombre [133] nombre,ajajaja [133] ajajaja,dudas [133] dudas,mejor [133] mejor,abstengo [132] chorisauri0,principio Top Word Pairs in Tweet in G6:
[53] coronavirus,cases [41] cases,day [37] はマスクしてないって話を耳にするけれど,cdcがとっくに学校の定期pcr導入を推奨するプログラムを作っていて [37] cdcがとっくに学校の定期pcr導入を推奨するプログラムを作っていて,ワクチン一辺倒でもマスク一辺倒でもなく [37] ワクチン一辺倒でもマスク一辺倒でもなく,マスク [37] マスク,ワクチン [37] ワクチン,検査 [37] 検査,距離 [37] 距離,換気 [37] 換気,隔離等を組合せ Top Word Pairs in Tweet in G7:
[94] falsos,vacunados [94] vacunados,contra [69] presidente,principales [69] principales,empresas [69] empresas,farmacéuticas [69] lista,falsos [46] farmacéuticas,españa [46] españa,lista [26] operación,jenner [26] jenner,presidente Top Word Pairs in Tweet in G8:
[19] covid,19 [18] coronavirus,cases [10] number,coronavirus [10] cases,california [10] california,significantly [10] significantly,worsened [10] worsened,past [10] past,week [10] week,hitting [10] hitting,level Top Word Pairs in Tweet in G9:
[13] josephine,sets [13] sets,great [13] great,example [13] example,postponing [13] postponing,birthday [13] birthday,party [13] party,until [13] until,sent [13] sent,coronavirus [13] coronavirus,packing Top Word Pairs in Tweet in G10:
[86] hoy,miércoles [86] miércoles,editorial [86] editorial,voz [86] voz,estará [86] estará,dedicado [86] dedicado,miembros [86] miembros,industria [86] industria,farmacéutica [86] farmacéutica,compraron [85] escesarvidal,hoy Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: