{"id":12264,"date":"2023-05-23T13:13:57","date_gmt":"2023-05-23T10:13:57","guid":{"rendered":"https:\/\/bestessayhomework.com\/tr\/?p=12264"},"modified":"2023-05-23T13:13:57","modified_gmt":"2023-05-23T10:13:57","slug":"ikinci-nesil-atif-makaleleri","status":"publish","type":"post","link":"https:\/\/bestessayhomework.com\/tr\/ikinci-nesil-atif-makaleleri\/","title":{"rendered":"\u0130kinci Nesil At\u0131f Makaleleri"},"content":{"rendered":"

\u0130kinci Nesil At\u0131f Makalelerinin \u0130statistikleri<\/span><\/strong><\/span><\/h3>\n

\u015eematik olarak, a\u011f kom\u015fusuna g\u00f6m\u00fcl\u00fc bir kaynak ka\u011f\u0131d\u0131 j g\u00f6sterir. Birinci nesil at\u0131f ka\u011f\u0131tlar\u0131, ona tek sekmeli yolla ba\u011flananlard\u0131r; ikinci nesil at\u0131f makaleleri, ona iki sekmeli yollarla ba\u011flananlard\u0131r. Bu ikinci nesil makalelerden herhangi biri j makalesinden dolayl\u0131 olarak al\u0131nt\u0131 yapabilir.<\/span><\/p>\n

nnn(t) ve knn(t) ile s\u0131ras\u0131yla, ikinci nesil at\u0131f makalelerinin ve bir birinci nesil at\u0131f makalesi ba\u015f\u0131na ikinci nesil at\u0131flar\u0131n y\u0131ll\u0131k jj say\u0131s\u0131n\u0131 g\u00f6steriyoruz. Knn(t) = t knn(\u03c4)d\u03c4 ve nn tnn 0 N (t) = 0 n (\u03c4)d\u03c4’yi de tan\u0131t\u0131yoruz, s\u0131ras\u0131yla ikinci nesil at\u0131flar\u0131n ve ikinci nesil at\u0131f ka\u011f\u0131tlar\u0131n\u0131n k\u00fcm\u00fclatif say\u0131lar\u0131d\u0131r.<\/span><\/p>\n

A\u011f dilinde, Knn ortalama en yak\u0131n kom\u015fu ba\u011flant\u0131s\u0131 iken, Nnn bir en yak\u0131n kom\u015fu ba\u015f\u0131na ortalama sonraki en yak\u0131n kom\u015fu say\u0131s\u0131d\u0131r.<\/span><\/p>\n

Knn(t) \u2265 Nnn(t) oldu\u011funa dikkat etmek \u00f6nemlidir, \u00e7\u00fcnk\u00fc g\u00f6sterildi\u011fi gibi, her ikinci nesil at\u0131f makalesi jj birinci nesil at\u0131f makalelerine birka\u00e7 yolla ba\u011flanabilir.<\/span><\/p>\n

Ortalama en yak\u0131n kom\u015fu ba\u011flant\u0131s\u0131 olan Knn’nin \u00f6nemi a\u011f biliminde “arkada\u015fl\u0131k paradoksu” ile ilgili olarak uzun zaman \u00f6nce kabul edilmi\u015f olsa da, N nn parametresi \u015fu ana kadar dikkate al\u0131nmam\u0131\u015ft\u0131r.<\/span><\/p>\n

\u00c7al\u0131\u015fmalar\u0131m\u0131z e\u015fit derecede \u00f6nemli oldu\u011funu g\u00f6steriyor. Knn ve Kj’nin pozitif olarak ili\u015fkili oldu\u011funu, yani \u015fematik olarak g\u00f6sterildi\u011fi gibi Knn’nin jj Kj ile artt\u0131\u011f\u0131n\u0131 bulduk. Bu, al\u0131nt\u0131 a\u011f\u0131n\u0131n tasnif edici oldu\u011fu anlam\u0131na gelir. \u00d6te yandan, Nnn ve Kj’nin \u00e7ok az ili\u015fkili oldu\u011funu, yani Nnn’nin Kj’ye pek ba\u011fl\u0131 olmad\u0131\u011f\u0131n\u0131 bulduk. \u00c7e\u015fitlili\u011fi hesaba katmak i\u00e7in bir j parametresi sunuyoruz.<\/span><\/p>\n

Bu, ikinci nesil bir at\u0131f makalesini \u00f6nc\u00fcl\u00fcne ba\u011flayan iki sekmeli yollar\u0131n ortalama say\u0131s\u0131n\u0131 karakterize eder. Bu parametre, s\u00f6zde d\u00f6rtgen katsay\u0131s\u0131 ile yak\u0131ndan ilgilidir.<\/span><\/p>\n

D\u00fc\u015f\u00fck at\u0131fl\u0131 makaleler i\u00e7in s = 1 ve y\u00fcksek at\u0131fl\u0131 makaleler i\u00e7in s = 1.55 olacak \u015fekilde s’nin Kj ile yava\u015f\u00e7a artt\u0131\u011f\u0131n\u0131 g\u00f6sterir. Bu, ilkinin ikinci nesil torunlar\u0131na \u00e7o\u011funlukla tek bir iki sekmeli yolla ba\u011fl\u0131 oldu\u011fu, ikincisinin ise ikinci nesil torunlar\u0131na birden fazla iki sekmeli yolla ba\u011fl\u0131 oldu\u011fu anlam\u0131na gelir.<\/span><\/p>\n

D\u00fc\u015f\u00fck ve y\u00fcksek at\u0131f alan makalelerin a\u011f kom\u015fuluklar\u0131 aras\u0131ndaki fark, doygunluk etkisinden kaynaklanabilir: D\u00fc\u015f\u00fck at\u0131f alan makalelerin torunlar\u0131, topluluktaki t\u00fcm makalelerin yaln\u0131zca k\u00fc\u00e7\u00fck bir k\u0131sm\u0131n\u0131 olu\u015ftururken, y\u00fcksek at\u0131f alan makalelerin torunlar\u0131, bir topluluk olu\u015fturur. \u00f6nemli bir k\u0131sm\u0131. K \u2265 10 i\u00e7in g\u00f6sterilen s(K) ba\u011f\u0131ml\u0131l\u0131\u011f\u0131n\u0131n a\u015fa\u011f\u0131daki ifade ile yakla\u015f\u0131k olarak hesaplanabilece\u011fini bulduk.<\/span><\/p>\n

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Makalede at\u0131f \u00f6rne\u011fi<\/span>
\nMakalede at\u0131f<\/a> nas\u0131l yap\u0131l\u0131r<\/span>
\nRaporlar kaynak\u00e7ada nas\u0131l g\u00f6sterilir APA<\/span>
\nAl\u0131nt\u0131 ve at\u0131f aras\u0131ndaki fark<\/span>
\nMakalede at\u0131f nedir<\/span>
\nKanun maddesine at\u0131f nas\u0131l yap\u0131l\u0131r APA<\/span>
\nMetin \u0130\u00e7i at\u0131f nas\u0131l yap\u0131l\u0131r APA<\/span>
\nAktaran at\u0131f nas\u0131l yap\u0131l\u0131r<\/span><\/p>\n

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Dolayl\u0131 At\u0131f Olas\u0131l\u0131\u011f\u0131<\/span><\/strong><\/h3>\n

Dolayl\u0131 at\u0131f oran\u0131n\u0131 ikinci nesil at\u0131flar\u0131n ortalama y\u0131ll\u0131k say\u0131s\u0131 \u00fczerinden ifade ederken, m(t \u2212 \u03c4 ), ikinci nesil at\u0131flar\u0131n y\u0131ll\u0131k ortalama say\u0131s\u0131 olan nnn (t \u2212 \u03c4 ) ile de\u011fi\u015ftirmek istiyoruz. Perspektifteki bu kayman\u0131n mant\u0131\u011f\u0131, mnn ve K aras\u0131ndaki pozitif korelasyonun aksine, nnn ve K aras\u0131ndaki korelasyon eksikli\u011fidir.<\/span><\/p>\n

Hem s hem de T0’\u0131n K’ye ba\u011fl\u0131 oldu\u011funu ima edin. Sezgi bize P0 ile kaynak makalenin al\u0131nt\u0131 say\u0131s\u0131 aras\u0131nda do\u011frudan bir ili\u015fki olamayaca\u011f\u0131n\u0131 s\u00f6yler, \u00e7\u00fcnk\u00fc al\u0131nt\u0131 yapan yazar bu makalenin ne s\u0131kl\u0131kla al\u0131nt\u0131land\u0131\u011f\u0131n\u0131n fark\u0131nda olmayabilir. Kan\u0131m\u0131zca, dolayl\u0131 al\u0131nt\u0131lar\u0131n dinami\u011fi i\u00e7in ilgili parametre K de\u011fil, s’dir. Asl\u0131nda, verilerini yeniden d\u00fczenledikten sonra basit bir do\u011frusal ba\u011f\u0131ml\u0131l\u0131k P0 \u221d (s \u2212 s0) g\u00f6sterir, burada s0 yatay kesi\u015fme noktas\u0131d\u0131r.<\/span><\/p>\n

G\u00f6sterilen artan P0(s) ba\u011f\u0131ml\u0131l\u0131\u011f\u0131, al\u0131nt\u0131 yapan yazar\u0131n bak\u0131\u015f a\u00e7\u0131s\u0131ndan \u00e7ok anlaml\u0131d\u0131r. Ger\u00e7ekten de, hangisinin j kaynak makalesini ve onun birinci ve ikinci nesil al\u0131nt\u0131 makalelerini g\u00f6sterdi\u011fini d\u00fc\u015f\u00fcn\u00fcn. a’n\u0131n yazar\u0131, j makalesini \u00f6nceden se\u00e7ilmi\u015f A makalesinin referans listesinde bulabilir ve \u03c01 olas\u0131l\u0131kla dolayl\u0131 olarak al\u0131nt\u0131layabilir.<\/span><\/p>\n

\u00d6te yandan, b’nin yazar\u0131 j makalesini \u00f6nceden se\u00e7ilmi\u015f iki makalenin, B1 ve B2’nin referans listelerinde bulabilir. Bu durumda dolayl\u0131 al\u0131nt\u0131 yapma olas\u0131l\u0131\u011f\u0131 \u03c02 ile g\u00f6sterilir ve kesinlikle \u03c01’i ge\u00e7er. J ka\u011f\u0131d\u0131n\u0131 \u00f6nceden se\u00e7ilmi\u015f \u00fc\u00e7 makalenin, C1, C2 ve C3’\u00fcn referans listelerinde bulabilen c ka\u011f\u0131d\u0131 hakk\u0131nda s\u00f6ylenemez.<\/span><\/p>\n

G\u00f6sterilenler gibi a\u011f motiflerinde dolayl\u0131 al\u0131nt\u0131 yapma olas\u0131l\u0131\u011f\u0131n\u0131n nicel analizi i\u00e7in, bir kaynak makaleyi j ve onun birinci ve ikinci nesil al\u0131nt\u0131 makalelerini dikkate al\u0131yoruz. \u0130kinci nesil at\u0131f makaleleri aras\u0131ndaki singlet oran\u0131n\u0131 belirtiyoruz.<\/span><\/p>\n

\u0130kinci nesil at\u0131f makalesini kaynak ka\u011f\u0131da ba\u011flayan iki sekmeli yollar\u0131n ortalama say\u0131s\u0131 s = l lfl’dir. Kaynak makalenin ikinci nesil bir al\u0131nt\u0131 makalesi taraf\u0131ndan dolayl\u0131 olarak al\u0131nt\u0131lanmas\u0131n\u0131n ortalama olas\u0131l\u0131k genli\u011fi P0 = \u03c0lfl’dir; burada \u03c0l, l motif l i\u00e7in olas\u0131l\u0131k genli\u011fidir.<\/span><\/p>\n

\u00d6l\u00e7\u00fcmlerimiz, l motifinin olu\u015fumunun fl \u221d1\/ l\u03be olarak dik bir \u015fekilde d\u00fc\u015ft\u00fc\u011f\u00fcn\u00fc g\u00f6sterdi, burada \u03be \u2248 3, bu nedenle sonraki analizlerimizde kendimizi yaln\u0131zca tekli ve ikililerle s\u0131n\u0131rl\u0131yoruz, ba\u015fka bir deyi\u015fle f1 +f2 \u2248 1 oldu\u011funu varsay\u0131yoruz. Bu yakla\u015f\u0131m alt\u0131nda, s = 1 + f2, P0 = \u03c01 + f2(\u03c02 \u2212 \u03c01) yatar. f2’yi bu ili\u015fkilerden \u00e7\u0131kar\u0131yoruz ve lineer ba\u011f\u0131ml\u0131l\u0131\u011fa geliyoruz.<\/span><\/p>\n

Bu bulgu \u00e7ok \u015fa\u015f\u0131rt\u0131c\u0131. Ger\u00e7ekten de, bir ikilinin par\u00e7as\u0131 olan ka\u011f\u0131d\u0131 ve b’yi d\u00fc\u015f\u00fcn\u00fcn. Ka\u011f\u0131t b, s\u0131ras\u0131yla ara ka\u011f\u0131tlar B1 ve B2’den ge\u00e7en iki iki sekmeli yol arac\u0131l\u0131\u011f\u0131yla kaynak ka\u011f\u0131da j ba\u011flan\u0131r.<\/span><\/p>\n

Her yolun bir olas\u0131l\u0131k genli\u011fi \u03c01 vard\u0131r. Bu iki yol arac\u0131l\u0131\u011f\u0131yla dolayl\u0131 al\u0131nt\u0131lar\u0131n olas\u0131l\u0131klar\u0131n\u0131n toplam\u0131n\u0131n \u03c02 = 2\u03c01 olmas\u0131n\u0131 bekleriz. Bu, \u03c0l \u221d l2’yi ima eden \u015feyle ba\u011fda\u015fmaz.<\/span><\/p>\n

Ba\u015fka bir deyi\u015fle, \u00f6l\u00e7\u00fcmlerimiz farkl\u0131 al\u0131nt\u0131 yollar\u0131 aras\u0131nda yap\u0131c\u0131 bir giri\u015fim oldu\u011funu g\u00f6stermektedir. Bu varsay\u0131m\u0131 kontrol etmek i\u00e7in, fl’yi \u00f6l\u00e7t\u00fc\u011f\u00fcm\u00fcz \u00fc\u00e7 makaleyle mikroskobik \u00f6l\u00e7\u00fcmler yapt\u0131k, l motiflerinin olu\u015fumu ve dolayl\u0131 al\u0131nt\u0131n\u0131n kar\u015f\u0131l\u0131k gelen olas\u0131l\u0131klar\u0131, \u03c0l. \u03c0l(l) ba\u011f\u0131ml\u0131l\u0131\u011f\u0131n\u0131n hi\u00e7bir \u015fekilde do\u011frusal olmad\u0131\u011f\u0131n\u0131 ve karesele daha yak\u0131n oldu\u011funu g\u00f6sterir.<\/span><\/p>\n

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