{"id":477376,"date":"2023-08-09T09:11:34","date_gmt":"2023-08-09T09:11:34","guid":{"rendered":""},"modified":"2023-09-05T11:14:34","modified_gmt":"2023-09-05T11:14:34","slug":"graph-theory","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/graph-theory\/","title":{"rendered":"Grafik teorisi"},"content":{"rendered":"<p>Grafik teorisi, d\u00fc\u011f\u00fcmlerden (k\u00f6\u015feler olarak da adland\u0131r\u0131l\u0131r) ve kenarlardan (yaylar olarak da adland\u0131r\u0131l\u0131r) olu\u015fan &#039;grafik&#039; ad\u0131 verilen yap\u0131lar\u0131 inceleyen bir matematik dal\u0131d\u0131r. Bu yap\u0131lar nesneler aras\u0131ndaki ikili ili\u015fkileri temsil eder. Proxy sunucular\u0131 ve bilgisayar a\u011flar\u0131 ba\u011flam\u0131nda grafik teorisi, bu a\u011flar\u0131 anlamam\u0131za ve optimize etmemize yard\u0131mc\u0131 olan \u00f6nemli kavramlar sa\u011flar.<\/p>\n<h2>Grafik Teorisinin K\u00f6kenleri ve Tarihsel Geli\u015fimi<\/h2>\n<p>Graf teorisi kavram\u0131 ilk kez 1736&#039;da \u0130svi\u00e7reli matematik\u00e7i Leonhard Euler taraf\u0131ndan ortaya at\u0131ld\u0131. Bu yeni \u00e7al\u0131\u015fma alan\u0131n\u0131n itici g\u00fcc\u00fc, K\u00f6nigsberg&#039;in Yedi K\u00f6pr\u00fcs\u00fc olarak bilinen pratik bir problemdi. K\u00f6nigsberg vatanda\u015flar\u0131, \u015fehrin yedi k\u00f6pr\u00fcs\u00fcn\u00fcn her birini tam olarak bir kez ge\u00e7erek \u015fehrin i\u00e7inden ge\u00e7menin m\u00fcmk\u00fcn olup olmad\u0131\u011f\u0131n\u0131 merak ediyordu. Euler b\u00f6yle bir yolun imkans\u0131z oldu\u011funu kan\u0131tlayarak grafik teorisinin temelini att\u0131.<\/p>\n<p>Zamanla, grafik teorisinin uygulamalar\u0131 teorik matemati\u011fin \u00f6tesine ge\u00e7erek bilgisayar bilimi, y\u00f6neylem ara\u015ft\u0131rmas\u0131, kimya, biyoloji ve a\u011f bilimi gibi \u00e7e\u015fitli alanlara yay\u0131ld\u0131. 20. y\u00fczy\u0131l\u0131n ortalar\u0131na gelindi\u011finde \u00e7izge teorisi, kendi teoremleri, yap\u0131lar\u0131 ve teknikleriyle matematik i\u00e7inde ayr\u0131 bir disiplin haline geldi.<\/p>\n<h2>Grafik Teorisine Derin Bir Bak\u0131\u015f<\/h2>\n<p>\u00d6z\u00fcnde, grafik teorisindeki bir grafik, \u00e7izgilerle (kenarlar veya yaylar) birbirine ba\u011flanabilen bir dizi nesneden (k\u00f6\u015feler veya d\u00fc\u011f\u00fcmler) olu\u015fur. Grafikler belirli \u00f6zelliklerine g\u00f6re farkl\u0131 t\u00fcrlerde s\u0131n\u0131fland\u0131r\u0131labilir:<\/p>\n<ul>\n<li>\n<p><strong>Y\u00f6nlendirilmemi\u015f Grafikler:<\/strong> Bu grafiklerin y\u00f6n\u00fc olmayan kenarlar\u0131 vard\u0131r. Kenarlar, her bir kenar\u0131n her iki y\u00f6nde de ge\u00e7ilebilmesi a\u00e7\u0131s\u0131ndan iki y\u00f6nl\u00fc bir ili\u015fkiyi belirtir.<\/p>\n<\/li>\n<li>\n<p><strong>Y\u00f6nlendirilmi\u015f Grafikler (Digraflar):<\/strong> Bu grafiklerde kenarlar\u0131n y\u00f6nleri vard\u0131r, yani bir k\u00f6\u015feden di\u011ferine hareket ederler.<\/p>\n<\/li>\n<li>\n<p><strong>A\u011f\u0131rl\u0131kl\u0131 Grafikler:<\/strong> Bu grafiklerin belirli bir de\u011feri veya &#039;a\u011f\u0131rl\u0131\u011f\u0131&#039; ta\u015f\u0131yan kenarlar\u0131 vard\u0131r.<\/p>\n<\/li>\n<li>\n<p><strong>Ba\u011fl\u0131 Grafikler:<\/strong> Bir grafikteki her k\u00f6\u015fe \u00e7ifti birbirine ba\u011fl\u0131ysa, bir grafi\u011fin ba\u011flant\u0131l\u0131 oldu\u011fu s\u00f6ylenir.<\/p>\n<\/li>\n<li>\n<p><strong>Ba\u011flant\u0131s\u0131z Grafikler:<\/strong> Grafta ba\u011fl\u0131 olmayan en az bir \u00e7ift k\u00f6\u015fe varsa, graf\u0131n ba\u011flant\u0131s\u0131n\u0131n kesildi\u011fi s\u00f6ylenir.<\/p>\n<\/li>\n<li>\n<p><strong>D\u00f6ng\u00fcsel Grafikler:<\/strong> Bu grafikler bir d\u00f6ng\u00fc olu\u015fturur; yani grafik, a\u00e7\u0131k u\u00e7lar\u0131 olmayan tek bir kapal\u0131 d\u00f6ng\u00fcd\u00fcr.<\/p>\n<\/li>\n<li>\n<p><strong>D\u00f6ng\u00fcsel Olmayan Grafikler:<\/strong> Bu grafikler herhangi bir d\u00f6ng\u00fc olu\u015fturmaz.<\/p>\n<\/li>\n<\/ul>\n<h2>Graf Teorisinin \u0130\u00e7 Yap\u0131s\u0131 ve \u0130\u015fleyi\u015fi<\/h2>\n<p>Graf teorisinin incelenmesi, kenarlar ve k\u00f6\u015feler aras\u0131ndaki ili\u015fkilerin ara\u015ft\u0131r\u0131lmas\u0131n\u0131 i\u00e7erir. Bu alandaki temel kavramlar \u015funlar\u0131 i\u00e7erir:<\/p>\n<ul>\n<li>\n<p><strong>Yak\u0131nl\u0131k:<\/strong> Her ikisi de ayn\u0131 kenar\u0131n u\u00e7 noktalar\u0131 ise, iki d\u00fc\u011f\u00fcm\u00fcn biti\u015fik oldu\u011fu s\u00f6ylenir.<\/p>\n<\/li>\n<li>\n<p><strong>Derece:<\/strong> Bu, bir d\u00fc\u011f\u00fcme ba\u011fl\u0131 kenarlar\u0131n say\u0131s\u0131d\u0131r. Y\u00f6nlendirilmi\u015f bir grafikte derece ayr\u0131ca &quot;i\u00e7eriye&quot; (gelen kenarlar\u0131n say\u0131s\u0131) ve &quot;d\u0131\u015far\u0131 dereceye&quot; (giden kenarlar\u0131n say\u0131s\u0131) b\u00f6l\u00fcnebilir.<\/p>\n<\/li>\n<li>\n<p><strong>Yol:<\/strong> Bu, her ard\u0131\u015f\u0131k k\u00f6\u015fe \u00e7iftinin bir kenarla ba\u011fland\u0131\u011f\u0131 bir k\u00f6\u015fe dizisidir.<\/p>\n<\/li>\n<li>\n<p><strong>D\u00f6ng\u00fc:<\/strong> Ayn\u0131 tepe noktas\u0131nda ba\u015flayan ve biten bir yol.<\/p>\n<\/li>\n<\/ul>\n<p>Grafik teorisi, problemleri matematiksel olarak form\u00fcle etmek ve daha sonra bu problemleri mant\u0131ksal ak\u0131l y\u00fcr\u00fctme ve hesaplama yoluyla \u00e7\u00f6zmek i\u00e7in bu kavramlar\u0131 ve di\u011ferlerini kullan\u0131r.<\/p>\n<h2>Grafik Teorisinin Temel \u00d6zellikleri<\/h2>\n<ol>\n<li>\n<p><strong>\u0130li\u015fkilerin Modellenmesi:<\/strong> Grafik teorisi ikili ili\u015fkileri temsil etmek ve modellemek i\u00e7in etkili bir y\u00f6ntem sunar.<\/p>\n<\/li>\n<li>\n<p><strong>Bulmacalar\u0131 ve Sorunlar\u0131 \u00c7\u00f6zme:<\/strong> Yukar\u0131da bahsedilen K\u00f6nigsberg&#039;in Yedi K\u00f6pr\u00fcs\u00fc problemi gibi \u00e7e\u015fitli bulmacalar grafik teorisi kullan\u0131larak \u00e7\u00f6z\u00fclebilir.<\/p>\n<\/li>\n<li>\n<p><strong>Rota planlan\u0131yor:<\/strong> Grafik teorisi, bilgisayar a\u011flar\u0131, lojistik ve ula\u015f\u0131m dahil olmak \u00fczere \u00e7e\u015fitli alanlarda en k\u0131sa yolu veya en az maliyetli rotay\u0131 bulmada \u00f6nemli bir rol oynar.<\/p>\n<\/li>\n<li>\n<p><strong>\u00c7ok y\u00f6nl\u00fcl\u00fck:<\/strong> Grafik teorisinin ilkeleri, a\u011f altyap\u0131s\u0131 ve tasar\u0131m\u0131ndan sosyal a\u011f analizine, biyoenformatik ve kimyaya kadar \u00e7e\u015fitli alanlara uygulanabilir.<\/p>\n<\/li>\n<\/ol>\n<h2>Grafik Teorisinde Grafik T\u00fcrleri<\/h2>\n<p>Grafik teorisinde her biri kendine \u00f6zg\u00fc \u00f6zelliklere ve uygulamalara sahip bir\u00e7ok farkl\u0131 grafik t\u00fcr\u00fc vard\u0131r. \u0130\u015fte birka\u00e7 yayg\u0131n olan\u0131:<\/p>\n<table>\n<thead>\n<tr>\n<th>Grafik T\u00fcr\u00fc<\/th>\n<th>Tan\u0131m<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Basit Grafik<\/td>\n<td>Her bir kenar\u0131n iki farkl\u0131 k\u00f6\u015feyi ba\u011flad\u0131\u011f\u0131 ve hi\u00e7bir iki kenar\u0131n ayn\u0131 k\u00f6\u015fe \u00e7iftini ba\u011flamad\u0131\u011f\u0131 bir grafik.<\/td>\n<\/tr>\n<tr>\n<td>\u00c7oklu grafik<\/td>\n<td>Birden fazla kenara sahip olabilen bir grafik (yani ayn\u0131 u\u00e7 d\u00fc\u011f\u00fcmlere sahip kenarlar).<\/td>\n<\/tr>\n<tr>\n<td>\u0130ki Par\u00e7al\u0131 Grafik<\/td>\n<td>Her kenar\u0131n birinci k\u00fcmedeki bir k\u00f6\u015feyi ikinci k\u00fcmedeki bir k\u00f6\u015feye ba\u011flayaca\u011f\u0131 \u015fekilde k\u00f6\u015feleri iki ayr\u0131 k\u00fcmeye b\u00f6l\u00fcnebilen bir grafik.<\/td>\n<\/tr>\n<tr>\n<td>Grafi\u011fi Tamamla<\/td>\n<td>Her farkl\u0131 k\u00f6\u015fe \u00e7iftinin benzersiz bir kenarla ba\u011fland\u0131\u011f\u0131 bir grafik.<\/td>\n<\/tr>\n<tr>\n<td>Alt yaz\u0131<\/td>\n<td>Ba\u015fka bir grafi\u011fin k\u00f6\u015felerinin bir alt k\u00fcmesinden ve kenarlar\u0131n\u0131n bir k\u0131sm\u0131ndan veya tamam\u0131ndan olu\u015fan bir grafik.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Graf Teorisinde Uygulamalar, Sorunlar ve \u00c7\u00f6z\u00fcmler<\/h2>\n<p>Grafik teorisi, bilgisayar a\u011flar\u0131, arama motorlar\u0131, sosyal a\u011flar ve genom ara\u015ft\u0131rmalar\u0131 dahil olmak \u00fczere bir\u00e7ok modern sistem ve teknolojinin ayr\u0131lmaz bir par\u00e7as\u0131d\u0131r. \u00d6rne\u011fin bilgisayar a\u011flar\u0131nda grafik teorisi, a\u011f topolojilerini ve tasar\u0131mlar\u0131n\u0131 optimize etmeye, verimlili\u011fi ve performans\u0131 art\u0131rmaya yard\u0131mc\u0131 olabilir. Arama motorlar\u0131nda, Google&#039;\u0131n PageRank&#039;\u0131 gibi algoritmalar, daha alakal\u0131 arama sonu\u00e7lar\u0131 sunmak i\u00e7in grafik teorisi ilkelerini kullan\u0131r.<\/p>\n<p>Ancak grafik teorisinin uygulanmas\u0131 baz\u0131 sorunlar\u0131 da beraberinde getirebilir. \u00d6rne\u011fin, grafik renklendirme problemi, bir grafi\u011fin her k\u00f6\u015fesine, iki biti\u015fik k\u00f6\u015fenin ayn\u0131 rengi payla\u015fmayaca\u011f\u0131 \u015fekilde renk atamay\u0131 i\u00e7erir. Tan\u0131m\u0131 basit olan bu problem, daha b\u00fcy\u00fck \u00f6l\u00e7eklerde \u00e7\u00f6z\u00fclmesi hesaplama a\u00e7\u0131s\u0131ndan karma\u015f\u0131kt\u0131r ve s\u0131kl\u0131kla planlama ve tahsis problemleriyle ili\u015fkilendirilir.<\/p>\n<p>Neyse ki, grafik teorisindeki bir\u00e7ok problem algoritmik yakla\u015f\u0131mlar kullan\u0131larak \u00e7\u00f6z\u00fclebilir. \u00d6rne\u011fin Dijkstra&#039;n\u0131n algoritmas\u0131 en k\u0131sa yol sorununu \u00e7\u00f6zebilirken Bellman-Ford algoritmas\u0131 baz\u0131 kenar a\u011f\u0131rl\u0131klar\u0131n\u0131n negatif oldu\u011fu durumlarda bile y\u00f6nlendirme sorununu \u00e7\u00f6zebilir.<\/p>\n<h2>Benzer Terim ve Kavramlarla Kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n<table>\n<thead>\n<tr>\n<th>Terim<\/th>\n<th>Tan\u0131m<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>A\u011f Teorisi<\/td>\n<td>Grafik teorisi gibi a\u011f teorisi de nesneler aras\u0131ndaki ili\u015fkileri incelemek i\u00e7in kullan\u0131l\u0131r. T\u00fcm grafik teorisi kavramlar\u0131 a\u011f teorisi i\u00e7in ge\u00e7erli olsa da ikincisi kapasite k\u0131s\u0131tlamalar\u0131 ve \u00e7ok noktal\u0131 ba\u011flant\u0131lar gibi ek \u00f6zellikler sunar.<\/td>\n<\/tr>\n<tr>\n<td>A\u011fa\u00e7<\/td>\n<td>A\u011fa\u00e7, d\u00f6ng\u00fcs\u00fc olmayan \u00f6zel bir grafik t\u00fcr\u00fcd\u00fcr. Bilgisayar bilimlerinde, \u00f6rne\u011fin veri yap\u0131lar\u0131nda ve algoritmalarda yayg\u0131n olarak kullan\u0131l\u0131r.<\/td>\n<\/tr>\n<tr>\n<td>Ak\u0131\u015f a\u011f\u0131<\/td>\n<td>Ak\u0131\u015f a\u011f\u0131, her kenar\u0131n bir kapasiteye sahip oldu\u011fu y\u00f6nlendirilmi\u015f bir grafiktir. Ak\u0131\u015f a\u011flar\u0131, ula\u015f\u0131m a\u011flar\u0131 veya bilgisayar a\u011flar\u0131ndaki veri ak\u0131\u015f\u0131 gibi ger\u00e7ek d\u00fcnya sistemlerini modellemek i\u00e7in kullan\u0131l\u0131r.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Grafik Teorisine \u0130li\u015fkin Gelecek Perspektifleri ve Teknolojiler<\/h2>\n<p>Grafik teorisi, gelecekteki teknolojiler i\u00e7in \u00f6nemli sonu\u00e7lar\u0131 olan geli\u015fen bir \u00e7al\u0131\u015fma alan\u0131 olmaya devam ediyor. Makine \u00f6\u011frenimi algoritmalar\u0131n\u0131n, \u00f6zellikle sosyal a\u011f analizi, \u00f6neri sistemleri ve sahtekarl\u0131k tespiti ile ili\u015fkili algoritmalar\u0131n geli\u015ftirilmesinde \u00f6nemli bir rol oynar.<\/p>\n<p>Yakla\u015fan trendlerden biri, grafik yap\u0131l\u0131 veriler \u00fczerinde makine \u00f6\u011frenimi ger\u00e7ekle\u015ftirmek i\u00e7in tasarlanan grafik sinir a\u011flar\u0131n\u0131n (GNN&#039;ler) kullan\u0131lmas\u0131d\u0131r. GNN&#039;ler, protein fonksiyonlar\u0131n\u0131 tahmin etmek, kimyasal bile\u015fikleri modellemek ve daha fazlas\u0131 i\u00e7in biyoenformatikte g\u00fc\u00e7l\u00fc bir ara\u00e7 olarak ortaya \u00e7\u0131k\u0131yor.<\/p>\n<h2>Proxy Sunucular Aras\u0131ndaki Ba\u011flant\u0131 ve Grafik Teorisi<\/h2>\n<p>OneProxy taraf\u0131ndan sa\u011flananlar gibi proxy sunucular\u0131, kaynak arayan bir istemci ile bu kaynaklar\u0131 sa\u011flayan sunucu aras\u0131ndaki arac\u0131 sunuculard\u0131r. \u00d6nbelle\u011fe alma, g\u00fcvenlik ve i\u00e7erik kontrol\u00fc gibi i\u015flevler sa\u011flayabilirler.<\/p>\n<p>Proxy sunucular\u0131n performans\u0131n\u0131 ve g\u00fcvenilirli\u011fini optimize ederken grafik teorisi devreye giriyor. Bir sunucu a\u011f\u0131, her sunucunun bir d\u00fc\u011f\u00fcm oldu\u011fu ve sunucular aras\u0131ndaki ba\u011flant\u0131lar\u0131n kenar oldu\u011fu bir grafik olarak temsil edilebilir. Bu modelle, verilerin y\u00f6nlendirilmesini optimize etmek, sunucular aras\u0131ndaki y\u00fck\u00fc dengelemek ve ar\u0131za korumal\u0131 mekanizmalar tasarlamak i\u00e7in grafik teorisi kullan\u0131labilir.<\/p>\n<p>OneProxy gibi sa\u011flay\u0131c\u0131lar, grafik teorisinin ilkelerini uygulayarak verimli veri y\u00f6nlendirmeyi sa\u011flayabilir, azalt\u0131lm\u0131\u015f gecikme yoluyla kullan\u0131c\u0131 deneyimini iyile\u015ftirebilir ve sunucu a\u011flar\u0131n\u0131n ar\u0131zalara ve sald\u0131r\u0131lara kar\u015f\u0131 sa\u011flaml\u0131\u011f\u0131n\u0131 art\u0131rabilir.<\/p>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<p>Grafik teorisi hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklar\u0131 incelemeyi d\u00fc\u015f\u00fcn\u00fcn:<\/p>\n<ul>\n<li><a href=\"http:\/\/mathworld.wolfram.com\/topics\/GraphTheory.html\" target=\"_new\" rel=\"noopener nofollow\">Grafik Teorisi \u2013 Wolfram MathWorld<\/a><\/li>\n<li><a href=\"https:\/\/www.khanacademy.org\/computing\/computer-science\/algorithms\/graph-representation\/a\/describing-graphs\" target=\"_new\" rel=\"noopener nofollow\">Graf Teorisi \u2013 Khan Academy<\/a><\/li>\n<li><a href=\"https:\/\/networkx.github.io\/\" target=\"_new\" rel=\"noopener nofollow\">NetworkX: Karma\u015f\u0131k a\u011flar\u0131n incelenmesi i\u00e7in Python yaz\u0131l\u0131m paketi<\/a><\/li>\n<li><a href=\"https:\/\/www.coursera.org\/learn\/graphs\" target=\"_new\" rel=\"noopener nofollow\">Grafik Teorisine Giri\u015f \u2013 Coursera<\/a><\/li>\n<\/ul>\n<p>Graf teorisinin matematik ve bilgisayar bilimlerinden biyoloji ve sosyal bilimlere kadar geni\u015f bir uygulama yelpazesine sahip geni\u015f bir alan oldu\u011funu unutmay\u0131n. \u0130lkeleri ve y\u00f6ntemleri, a\u011f biliminin omurgas\u0131n\u0131 \u015fekillendirmeye devam ederek, giderek birbirine ba\u011flanan bir d\u00fcnyada onu \u00f6nemli bir ara\u00e7 haline getiriyor.<\/p>","protected":false},"featured_media":468489,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477376","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Graph Theory: A Fundamental Component of Network Science<\/mark>","faq_items":[{"question":"What is Graph Theory?","answer":"<p>Graph Theory is a branch of mathematics that studies structures called 'graphs', composed of nodes (or vertices) and edges (or arcs). These structures represent pairwise relationships between objects.<\/p>"},{"question":"Who introduced the concept of Graph Theory?","answer":"<p>The concept of graph theory was first introduced by the Swiss mathematician Leonhard Euler in 1736 in response to the practical problem known as the Seven Bridges of K\u00f6nigsberg.<\/p>"},{"question":"What are the different types of graphs in Graph Theory?","answer":"<p>Graphs can be classified into different types based on their specific characteristics, including Undirected Graphs, Directed Graphs (Digraphs), Weighted Graphs, Connected Graphs, Disconnected Graphs, Cyclic Graphs, and Acyclic Graphs.<\/p>"},{"question":"What are some of the key features of Graph Theory?","answer":"<p>Some key features of graph theory include its ability to model relationships, solve puzzles and problems, plan routes, and its versatility across various fields such as computer networks, logistics, and transportation.<\/p>"},{"question":"How is Graph Theory applied?","answer":"<p>Graph Theory is applied in many modern systems and technologies, including computer networks, search engines, social networks, and genome research. In computer networks, for example, it can help optimize network topologies and designs, enhancing efficiency and performance.<\/p>"},{"question":"How does Graph Theory relate to proxy servers?","answer":"<p>A network of servers, like proxy servers, can be represented as a graph where each server is a node and the connections between servers are edges. Using graph theory, we can optimize the routing of data, balance the load across servers, and design fail-safe mechanisms.<\/p>"},{"question":"What are future perspectives and technologies related to Graph Theory?","answer":"<p>Future technologies related to graph theory include machine learning algorithms, especially those associated with social network analysis, recommendation systems, and fraud detection. An emerging trend is the use of graph neural networks (GNNs) designed to perform machine learning on graph-structured data.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477376","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/477376\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/468489"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=477376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}