The graph represents a network of 6,704 Twitter users whose recent tweets contained "zika", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 13:43 UTC.
The tweets in the network were tweeted over the 2583-day, 2-hour, 39-minute period from Wednesday, 17 February 2016 at 21:20 UTC to Thursday, 16 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6704
Unique Edges : 3413
Edges With Duplicates : 8463
Total Edges : 11876
Number of Edge Types : 9
Retweet : 1330
MentionsInRetweet : 1558
Replies to : 2601
MentionsInReplyTo : 3396
Quote : 353
Tweet : 2158
MentionsInQuote : 139
Mentions : 336
MentionsInQuoteReply : 5
Self-Loops : 2403
Reciprocated Vertex Pair Ratio : 0.0971583786042624
Reciprocated Edge Ratio : 0.177109122071986
Connected Components : 2581
Single-Vertex Connected Components : 1147
Maximum Vertices in a Connected Component : 378
Maximum Edges in a Connected Component : 804
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.390711
Graph Density : 0.000116852711196533
Modularity : 0.485031
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,704 Twitter users whose recent tweets contained "zika", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 13:43 UTC.
The tweets in the network were tweeted over the 2583-day, 2-hour, 39-minute period from Wednesday, 17 February 2016 at 21:20 UTC to Thursday, 16 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : zika
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:
[312] dengue,zika [241] são,paulo [179] zika,chikungunya [174] toda,zika [170] jornadas,fumigación [170] meus,argentinos [170] zika,gigante [170] gigante,meus [169] spfcdaopressao,zika [147] zika,reversa Top Word Pairs in Tweet in G1:
[99] são,paulo [84] zika,essa [74] sai,zika [39] essa,zika [36] zika,caralho [35] dengue,zika [30] uma,zika [27] muito,zika [24] zika,reversa [23] meu,deus Top Word Pairs in Tweet in G2:
[169] gigante,meus [169] meus,argentinos [169] zika,gigante [168] spfcdaopressao,zika [51] spfcsinceridade,ferraresi [40] rato,wellington [40] wellington,rato [40] arboleda,galoppo [40] estádio,desgraçado [40] ferraresi,arboleda Top Word Pairs in Tweet in G3:
[103] robert,kennedy [85] viren,waffen [67] 150,biolabors [66] biolabors,ganzen [66] welt,vierzig [66] ganzen,welt [55] kennedy,jr [55] pandemien,auszurufen [55] jr,arbeiten [55] auszurufen,robert Top Word Pairs in Tweet in G4:
[169] jornadas,fumigación [105] zika,chikungunya [105] dengue,zika [103] gratuitas,prevención [103] fumigación,gratuitas [103] familias,salvadoreñas [103] prevención,dengue [102] salvadoreñas,jornadas [102] protegemos,familias [101] saludsv,protegemos Top Word Pairs in Tweet in G5:
[2] worth,blur [2] 3000,worth Top Word Pairs in Tweet in G6:
[3] giving,away [3] dtcgroup_,lootadog [2] tag,friends [2] dtcgroup_,airdropinspect [2] announce,partnership [2] partnership,between [2] follow,dtcgroup_ [2] babywealthyclub,elysianodysseyg [2] random,winners [2] 10,random Top Word Pairs in Tweet in G7:
[73] toda,zika [72] contra,noise [72] zika,contra [60] noise,seja [60] seja,destruída [54] destruída,toda [17] farpadordaloud,toda [9] zika,não [9] los_lp7,zika [8] não,zika Top Word Pairs in Tweet in G8:
[81] ansiedade,pânico [81] problemas,depressão [81] baixa,dengue [81] alta,pressão [81] pânico,pressão [81] tantos,problemas [81] pressão,alta [81] dengue,zika [81] isso,causou [81] depressão,ansiedade Top Word Pairs in Tweet in G9:
[11] são,paulo [7] sai,zika [5] futebol_info,geglobo [4] futebol_info,sport [4] água,santa [3] após,jogo [3] zika,essa [3] zika,sai [3] tíbia,perna [3] perna,esquerda Top Word Pairs in Tweet in G10:
[8] _tomas_zika,já [7] prazak_na_vsi,_tomas_zika [6] jvesnice,olikockova [6] olikockova,sonavbloku [5] pelikanekcz,_tomas_zika [4] europarl_en,odscz [4] pavelnovotnak,europarl_en [3] já,jsem [3] honza_je_tu,_tomas_zika [3] každý,rok Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: