{"id":12291,"date":"2023-05-28T14:56:46","date_gmt":"2023-05-28T11:56:46","guid":{"rendered":"https:\/\/bestessayhomework.com\/tr\/?p=12291"},"modified":"2023-05-28T14:56:46","modified_gmt":"2023-05-28T11:56:46","slug":"carpimsal-uygunluk","status":"publish","type":"post","link":"https:\/\/bestessayhomework.com\/tr\/carpimsal-uygunluk\/","title":{"rendered":"\u00c7arp\u0131msal Uygunluk"},"content":{"rendered":"

\u00c7arp\u0131msal Uygunluk<\/span><\/strong><\/h3>\n

Fitness, a\u011f b\u00fcy\u00fcmesinin dinamik denklemine nas\u0131l dahil edilebilir? Bianconi-Barabasi modeli, tercihli ba\u011flanman\u0131n \u00fczerine zindeli\u011fi getirir. At\u0131f a\u011flar\u0131 ba\u011flam\u0131nda bu model, i makalesinin j makalesinden al\u0131nt\u0131 yapma olas\u0131l\u0131\u011f\u0131n\u0131n, makalenin uygunlu\u011fu \u03b7j ve \u00f6nceki al\u0131nt\u0131lar\u0131n\u0131n say\u0131s\u0131n\u0131n, yani, \u00e7arp\u0131m\u0131 oldu\u011funu varsayar.<\/span><\/p>\n

Y\u00fcksek uyumlulu\u011fa ge\u00e7 gelen bir ki\u015finin d\u00fc\u015f\u00fck uyumlu eski bir ka\u011f\u0131ttan daha iyi performans g\u00f6sterebilece\u011fi \u015fekilde, b\u00fcy\u00fck \u00f6l\u00e7\u00fcde uyumlulu\u011fa ba\u011fl\u0131 olan verim at\u0131f y\u00f6r\u00fcngelerinin Kj(t) \u00e7\u00f6z\u00fcm\u00fc. B\u00f6ylece uygunluk, ilk hamle avantaj\u0131 sorununu \u00e7\u00f6zer. Di\u011fer sorunlar\u0131 da \u00e7\u00f6zer, \u00f6zellikle ayn\u0131 ya\u015ftaki makaleler i\u00e7in at\u0131f da\u011f\u0131l\u0131m\u0131, \u00f6nceki at\u0131f say\u0131s\u0131ndan ziyade uygunluk da\u011f\u0131l\u0131m\u0131na g\u00f6re belirlenir.<\/span><\/p>\n

Bianconi-Barabasi modelinin en \u00e7arp\u0131c\u0131 \u00f6ng\u00f6r\u00fcs\u00fc, t\u00fcm at\u0131flardan aslan pay\u0131n\u0131 alan s\u00fcperele\u015ftirel makalelerin varl\u0131\u011f\u0131d\u0131r. Bu t\u00fcr s\u00fcper kritik makaleler ger\u00e7ekten g\u00f6zlemlendi ve bu sezgisel olmayan tahmin, Bianconi-Barabasi modeline geni\u015f bir pop\u00fclerlik kazand\u0131rd\u0131.<\/span><\/p>\n

Ancak, yaln\u0131zca kavramsal modeli temsil eder. Ger\u00e7ek hayattaki at\u0131f dinamiklerini a\u00e7\u0131klayan nicel bir araca d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in ba\u015flang\u0131\u00e7 \u00e7ekicili\u011fi K0 ve ya\u015flanma sabiti A(t) eklenirken do\u011frusal olmama eklendi.<\/span><\/p>\n

Pek \u00e7ok sorunu \u00e7\u00f6zd\u00fc, ba\u015far\u0131s\u0131, bir makalenin at\u0131f y\u00f6r\u00fcngesini a\u00e7\u0131klamak i\u00e7in gerekli olan \u00e7ok fazla ampirik parametrenin bedeline mal oldu: \u00f6nceki al\u0131nt\u0131 say\u0131s\u0131na Kj ve ya\u015f tj’ye ek olarak uygunluk \u03b7j , \u00fcs \u03b6 ve iki parametre \u03bcj ekler, ve her ka\u011f\u0131t i\u00e7in ya\u015flanma i\u015flevini karakterize eden \u03c3j.<\/span><\/p>\n

Uygunluk, a\u015fa\u011f\u0131daki denklem arac\u0131l\u0131\u011f\u0131yla optimizasyon prosed\u00fcr\u00fc arac\u0131l\u0131\u011f\u0131yla da tan\u0131t\u0131labilir.\u00a0<\/span>Bu, uygunlu\u011fun \u03b7j’nin ilk \u00e7ekicilik K0’\u0131n yerini ald\u0131\u011f\u0131 tercihli ba\u011flanma modelinden ba\u015fka bir \u015fey de\u011fildir. A\u00e7\u0131klanan b\u00fcy\u00fcme dinamikleri g\u00f6r\u00fcnd\u00fc\u011f\u00fc kadar farkl\u0131 de\u011fil.<\/span><\/p>\n

Asl\u0131nda, do\u011frusal olmayan tercihli ba\u011flanman\u0131n ek uygunluk mimikleri ile kombinasyonu, \u00f6zellikle s\u00fcperkritik d\u00fc\u011f\u00fcmler verir. Bunu g\u00f6stermek i\u00e7in s\u00fcrekli yakla\u015f\u0131m\u0131 benimsiyoruz ve de\u011fi\u015ftiriyoruz.<\/span><\/p>\n

Bu nedenle, s\u00fcper do\u011frusal tercihli ba\u011flanma i\u00e7in, \u03b5 > 0, s\u00fcper kritik d\u00fc\u011f\u00fcmleri aynen yapt\u0131\u011f\u0131 gibi tahmin eder.<\/span><\/p>\n

Uygunluk Modelleri<\/span><\/strong><\/h3>\n

\u00d6nerilen ve daha da geli\u015ftirilen uygunluk modeli, genel bir karma\u015f\u0131k a\u011f\u0131 dikkate al\u0131r. Bu model, tercihli ba\u011flanma fikrinden ayr\u0131l\u0131r ve yeni bir i d\u00fc\u011f\u00fcm\u00fc ile hedef d\u00fc\u011f\u00fcm j aras\u0131ndaki ba\u011flanma olas\u0131l\u0131\u011f\u0131n\u0131n yaln\u0131zca uygunluk de\u011ferlerine (\u03b7i ve \u03b7j) ba\u011fl\u0131 oldu\u011funu ve derecelerine ba\u011fl\u0131 olmad\u0131\u011f\u0131n\u0131 varsayar.<\/span><\/p>\n

At\u0131f a\u011flar\u0131 i\u00e7in, i makalesinin j makalesinden al\u0131nt\u0131 yapma olas\u0131l\u0131\u011f\u0131n\u0131n \u03a0ij = f (\u03b7i , \u03b7j ) oldu\u011fu varsay\u0131l\u0131r; burada \u03b7i ve \u03b7j, ka\u011f\u0131d\u0131n uygunluk de\u011ferleridir ve f (\u03b7i , \u03b7j ) arg\u00fcmanlar\u0131n\u0131n simetrik i\u015flevidir (ba\u011flama i\u015flevi) .<\/span><\/p>\n

Toplay\u0131c\u0131 ba\u011flant\u0131 i\u015flevi olarak kabul edildi, ancak ayn\u0131 grubun daha sonraki yay\u0131n\u0131, \u00e7arp\u0131msal ba\u011flant\u0131 i\u015flevi f(\u03b7i,\u03b7j) \u223c \u03b7i\u03b7j’yi tan\u0131tt\u0131. \u0130kinci varsay\u0131m daha pop\u00fcler hale geldi ve a\u015fa\u011f\u0131daki genellemeye izin veriyor.<\/span><\/p>\n

Eski bir makaleyi ele alal\u0131m j . Uygunluk benzerlik ile belirlenirse ve incelenen t\u00fcm makaleler ayn\u0131 alana aitse, o zaman j makalesi \u0394Kj \u221d \u03b7i\u03b7j oran\u0131yla al\u0131nt\u0131 toplayacakt\u0131r; burada \u03b7i, yeni makalelerin ortalama uygunlu\u011fudur. Bu ortalama uygunluk, eski bir makaleden j al\u0131nt\u0131 yapma olas\u0131l\u0131\u011f\u0131 yeni bir i makalesinin olas\u0131l\u0131\u011f\u0131 olacak \u015fekilde, ya\u015flanma fonksiyonuna emilebilir.<\/span><\/p>\n

Fitness nedir? Bir yandan uygunluk, sosyal a\u011flarda homofili olarak bilinen benzerlik kavram\u0131n\u0131 i\u00e7erir. Asl\u0131nda, al\u0131nt\u0131 a\u011flar\u0131 topluluklardan ve alt topluluklardan olu\u015fur. Yeni ka\u011f\u0131tlar, ayn\u0131 toplulu\u011fa ait olan benzer ka\u011f\u0131tlara eklenme e\u011filimindedir.<\/span><\/p>\n

Benzerli\u011fi \u00f6l\u00e7mek i\u00e7in i\u00e7eriklerin veya kaynak\u00e7alar\u0131n \u00f6rt\u00fc\u015fmesi \u00f6nerilirken, ortak kom\u015fular\u0131n \u00f6rt\u00fc\u015fmesinin kullan\u0131lmas\u0131 \u00f6nerildi. Zindeli\u011fin ba\u015fka bir bile\u015feni kalite veya yetenekle ili\u015fkilidir. Makale ilk \u00e7\u0131kt\u0131\u011f\u0131nda bu bile\u015feni tahmin etmek kolay de\u011fildir, ancak zaten baz\u0131 al\u0131nt\u0131lar toplad\u0131ktan sonra \u00f6l\u00e7\u00fclebilir.<\/span><\/p>\n

\n

Basit Bas\u0131n\u00e7l\u0131 Kaplar Y\u00d6NETMEL\u0130\u011e\u0130 mevzuat<\/span>
\nBasit BASIN\u00c7LI KAPLAR Y\u00d6NETMEL\u0130\u011e\u0130<\/span>
\nToplamsal ve \u00e7arp\u0131msal<\/a> ak\u0131l y\u00fcr\u00fctme<\/span>
\nBASIN\u00c7LI KAPLAR Y\u00d6NETMEL\u0130\u011e\u0130 pdf<\/span>
\nOrant\u0131sal d\u00fc\u015f\u00fcnme etkinli\u011fi Fen<\/span>
\nTa\u015f\u0131nabilir Bas\u0131n\u00e7l\u0131 Ekipmanlar Y\u00d6NETMEL\u0130\u011e\u0130<\/span>
\nOrant\u0131sal d\u00fc\u015f\u00fcnme \u00f6rnekleri<\/span>
\nBas\u0131n\u00e7l\u0131 Kaplar ile ilgili y\u00f6netmeliklerin isimleri<\/span><\/p>\n

\n

A\u00e7\u0131klay\u0131c\u0131 Modeller<\/span><\/strong><\/h3>\n

Tercihli ba\u011flanma modeli fenomenolojiktir, yani makalelerin at\u0131f alma mekanizmas\u0131na ili\u015fkin makul ancak do\u011frulanmam\u0131\u015f varsay\u0131mlarda bulunur, \u00f6zellikle bu mekanizmay\u0131 (zengin-zenginle\u015fir-zenginle\u015fir) at\u0131f da\u011f\u0131l\u0131mlar\u0131ndan \u00e7\u0131kar\u0131r.<\/span><\/p>\n

Tercihli ba\u011flanma modeline g\u00f6re, yeni bir makalenin yazar\u0131n\u0131n referanslar\u0131n\u0131 se\u00e7mek i\u00e7in kulland\u0131\u011f\u0131 algoritma a\u015fa\u011f\u0131daki gibidir. Yazar, t\u00fcm makalelerin al\u0131nt\u0131 say\u0131s\u0131n\u0131 dikkate al\u0131r ve buna g\u00f6re al\u0131nt\u0131 yapaca\u011f\u0131 bir makale se\u00e7er. B\u00f6ylece, her yazar, t\u00fcm makaleler taraf\u0131ndan toplanan al\u0131nt\u0131lar\u0131n say\u0131s\u0131n\u0131 bilecektir.<\/span><\/p>\n

Ancak, internet \u00f6ncesi \u00e7a\u011fda bu say\u0131 yaln\u0131zca Science Citation Index’e eri\u015fimi olan birka\u00e7 yazar taraf\u0131ndan biliniyordu. \u0130nternet ve \u00f6zellikle Google Scholar ortaya \u00e7\u0131kt\u0131ktan sonra, birka\u00e7 t\u0131klama ile at\u0131f say\u0131lar\u0131 bulunabilir.<\/span><\/p>\n

Tercihli ba\u011flanma modeli bilim camias\u0131nda pop\u00fclerlik kazand\u0131ktan sonra, kendi kendini ger\u00e7ekle\u015ftiren bir kehanet haline geldi, ancak internet \u00f6ncesi \u00e7a\u011fdaki mikroskobik k\u00f6keni, en az\u0131ndan al\u0131nt\u0131 a\u011flar\u0131 i\u00e7in belirsizli\u011fini koruyor.<\/span><\/p>\n

Ayr\u0131ca, a\u011f b\u00fcy\u00fcmesinin tercihli ba\u011flanma mekanizmas\u0131 yerel de\u011fil k\u00fcresel oldu\u011fu i\u00e7in \u00f6nemli bir kavramsal zorluk sunar. Asl\u0131nda, gelen her d\u00fc\u011f\u00fcm\u00fcn di\u011fer t\u00fcm d\u00fc\u011f\u00fcmlerin derecelerini bilece\u011fini ima edin.<\/span><\/p>\n

Bu, i\u015fbirli\u011fi ve di\u011fer baz\u0131 sosyal a\u011flar i\u00e7in do\u011fru olabilse de, genel olarak, yeni bir d\u00fc\u011f\u00fcm, yaln\u0131zca s\u0131n\u0131rl\u0131 bir d\u00fc\u011f\u00fcm k\u00fcmesine a\u015fina oldu\u011fu s\u0131n\u0131rl\u0131 bilgiye sahiptir. Google Scholar, Scopus, ISI Web of Science vb. bilgi veritabanlar\u0131n\u0131n \u00e7o\u011falmas\u0131yla birlikte, bir\u00e7ok karma\u015f\u0131k a\u011fdaki k\u00fcresel bilgilere kolayca eri\u015filebilir hale geldi.<\/span><\/p>\n

\u00d6zellikle, al\u0131nt\u0131 a\u011flar\u0131 i\u00e7in, g\u00fcn\u00fcm\u00fczde belirli bir makaleyi al\u0131nt\u0131lama te\u015fviki ger\u00e7ekten de \u00f6nceki al\u0131nt\u0131lar\u0131n say\u0131s\u0131ndan gelebilir. B\u00f6ylece, tercihli ba\u011flanma modeli kendi kendini ger\u00e7ekle\u015ftiren bir kehanet haline geliyor.<\/span><\/p>\n

Burada uygunluk modelinin ba\u015flang\u0131\u00e7taki \u00e7ekicili\u011fi a\u00e7\u0131klad\u0131\u011f\u0131n\u0131 g\u00f6stermi\u015f olsak da, fazla fenomenolojik oldu\u011fu ve ger\u00e7ek a\u011flar\u0131 karakterize eden belirli ayr\u0131nt\u0131lardan yoksun oldu\u011fu i\u00e7in al\u0131nt\u0131 a\u011f\u0131 b\u00fcy\u00fcmesinin a\u00e7\u0131klanmas\u0131 i\u00e7in bir temel olu\u015fturmas\u0131 pek m\u00fcmk\u00fcn de\u011fildir.<\/span><\/p>\n

Yazarlar\u0131n referanslar\u0131n\u0131 se\u00e7mek i\u00e7in kulland\u0131klar\u0131 ger\u00e7ek\u00e7i bir algoritmaya dayanan birka\u00e7 fenomenolojik olmayan al\u0131nt\u0131 dinami\u011fi modeli vard\u0131r. Bu t\u00fcr modellerin en \u00f6nemli s\u0131n\u0131f\u0131, ba\u011flant\u0131 kopyalama veya yeniden y\u00f6nlendirme, rastgele y\u00fcr\u00fcy\u00fc\u015f veya yerel arama, \u00fc\u00e7l\u00fc (\u00fc\u00e7gen) olu\u015fturma, \u00fc\u00e7l\u00fc kapatma veya orman yang\u0131n\u0131 modeli olarak da bilinen \u00f6zyinelemeli aramad\u0131r.<\/span><\/p>\n

Bu algoritma, yeni bir makalenin yazar\u0131n\u0131n rastgele eski bir makaleyi se\u00e7ti\u011fini ve onu referans listesine ekledi\u011fini varsayar. Ard\u0131ndan, yeni se\u00e7ilen makalenin referans listesini inceler ve referanslar\u0131ndan birini veya tamam\u0131n\u0131 kopyalar.<\/span><\/p>\n

Bu, bir yazar\u0131n daha \u00f6nce se\u00e7ilen t\u00fcm makalelerin referans listelerini ara\u015ft\u0131rd\u0131\u011f\u0131 \u00e7ok d\u00fczeyli yinelemeli bir arama olarak kabul edilirken tek d\u00fczeyli yinelemeli bir aramad\u0131r. Tek seviyeli \u00f6zyinelemeli arama mekanizmas\u0131n\u0131n, yeni bir i makalesinin hedef bir makaleden j al\u0131nt\u0131 yapma olas\u0131l\u0131\u011f\u0131n\u0131 a\u015fa\u011f\u0131daki gibi azaltt\u0131\u011f\u0131n\u0131 g\u00f6sterdi.<\/span><\/p>\n

\n\n
<\/div>\n\n<\/div>\n \n