{"id":12272,"date":"2023-05-23T14:00:53","date_gmt":"2023-05-23T11:00:53","guid":{"rendered":"https:\/\/bestessayhomework.com\/tr\/?p=12272"},"modified":"2023-05-23T14:00:53","modified_gmt":"2023-05-23T11:00:53","slug":"atif-islevleri","status":"publish","type":"post","link":"https:\/\/bestessayhomework.com\/tr\/atif-islevleri\/","title":{"rendered":"At\u0131f \u0130\u015flevleri"},"content":{"rendered":"

At\u0131f \u0130\u015flevleri<\/span><\/strong><\/h3>\n

\u015eimdi farkl\u0131 disiplinler i\u00e7in at\u0131f da\u011f\u0131l\u0131mlar\u0131n\u0131 ele al\u0131yoruz. Buna g\u00f6re, yay\u0131ndan sonraki ilk 2-3 y\u0131ldaki at\u0131f da\u011f\u0131l\u0131mlar\u0131 birinci ek (do\u011frudan al\u0131nt\u0131lar) taraf\u0131ndan belirlenirken, daha sonra ikinci ek (dolayl\u0131 al\u0131nt\u0131lar) ba\u015f\u0131 \u00e7eker. Bunu ak\u0131lda tutarak, yay\u0131ndan hemen sonra al\u0131nt\u0131 da\u011f\u0131l\u0131mlar\u0131n\u0131 analiz ettik ve kar\u015f\u0131l\u0131k gelen uygunluk da\u011f\u0131l\u0131mlar\u0131n\u0131 belirledik. Her \u00fc\u00e7 disiplin i\u00e7in de log-normal uyum da\u011f\u0131l\u0131m\u0131 bulduk.<\/span><\/p>\n

A \u0303(t) al\u0131nt\u0131lar\u0131 i\u00e7in ya\u015flanma fonksiyonu ile ilgili olarak, modelimizi kullanarak t\u00fcm at\u0131f da\u011f\u0131l\u0131m\u0131n\u0131 her t’ye uydurarak bulduk. Ya\u015flanma i\u015flevlerinin bir disiplinden di\u011ferine de\u011fi\u015fti\u011fini g\u00f6sterir. Bu fark, disipline \u00f6zg\u00fc b\u00fcy\u00fcme \u00fcsleri \u03b1 ve \u03b2’ya kadar izlenebilir.<\/span><\/p>\n

Asl\u0131nda, trendsiz A \u0303(t)e\u2212(\u03b1+\u03b2)t fonksiyonu, A(t) referanslar\u0131 i\u00e7in ya\u015flanma fonksiyonundan ba\u015fka bir \u015fey de\u011fildir. Bu ifadede \u03b1 + \u03b2’y\u0131 yerine koyduk ve her disiplin i\u00e7in A(t) bulduk. \u015ea\u015f\u0131rt\u0131c\u0131 bir \u015fekilde, \u00fc\u00e7 A(t) ba\u011f\u0131ml\u0131l\u0131\u011f\u0131 da tek bir e\u011friye \u00e7\u00f6ker.<\/span><\/p>\n

Modelimiz \u00e7er\u00e7evesinde A(t) ba\u011f\u0131ml\u0131l\u0131\u011f\u0131 her disipline \u00f6zg\u00fc olabilse de asl\u0131nda evrensel oldu\u011funu g\u00f6stermektedir. Bu, referanslar\u0131n azalt\u0131lm\u0131\u015f ya\u015f da\u011f\u0131l\u0131m\u0131n\u0131n neredeyse evrensel oldu\u011fu g\u00f6zlemiyle el ele gider. B\u00fct\u00fcn bunlar, yazarlar\u0131n referans bulmak i\u00e7in kulland\u0131klar\u0131 stratejinin az \u00e7ok evrensel oldu\u011funu g\u00f6steriyor.<\/span><\/p>\n

Dolayl\u0131 At\u0131flar<\/span><\/strong><\/h3>\n

Dolayl\u0131 at\u0131flar\u0131n \u00e7ekirde\u011fini bulmak i\u00e7in, sadece at\u0131f da\u011f\u0131l\u0131mlar\u0131n\u0131 de\u011fil ayn\u0131 zamanda otokorelasyon katsay\u0131s\u0131 ct ,t \u22121’i de yeniden \u00fcretmeye \u00e7al\u0131\u015ft\u0131k. Bu ama\u00e7la, \u00f6nceden bulunan ampirik fonksiyonlar \u03c1(\u03b7) ve A \u0303(t) ile kulland\u0131k, uydurma parametreleri a, b ve \u03b3 idi.<\/span><\/p>\n

Sim\u00fclasyon, her zaman \u00f6l\u00e7\u00fclen at\u0131f da\u011f\u0131l\u0131mlar\u0131n\u0131 olduk\u00e7a iyi bir \u015fekilde yeniden \u00fcretir ve her \u00fc\u00e7 disiplin i\u00e7in de neredeyse ayn\u0131 eskime \u00fcss\u00fcn\u00fc verir, \u03b3 \u2248 1,2 y\u0131l-1. Ancak, a ve b parametrelerinin disipline ba\u011fl\u0131 oldu\u011fu ortaya \u00e7\u0131kt\u0131.<\/span><\/p>\n

Bu parametrelerin sistematik olarak ortalama referans listesi uzunlu\u011fu olan R0’a ba\u011fl\u0131 oldu\u011funu g\u00f6sterir. G\u00f6r\u00fc\u015f\u00fcm\u00fcze g\u00f6re, R0 her disiplin i\u00e7in at\u0131f say\u0131s\u0131 i\u00e7in bir \u00f6l\u00e7ek oldu\u011fu i\u00e7in bu beklenen bir durumdur.<\/span><\/p>\n

\u00d6nce a(R0) ba\u011f\u0131ml\u0131l\u0131\u011f\u0131n\u0131 ele alal\u0131m. \u00d6nceden se\u00e7ilmi\u015f bir makaleden dolayl\u0131 al\u0131nt\u0131y\u0131 se\u00e7me olas\u0131l\u0131\u011f\u0131n\u0131n ters olarak referans listesinin uzunlu\u011funa ba\u011fl\u0131 oldu\u011funu hangi durumlardan kaynakland\u0131\u011f\u0131n\u0131 iddia ediyoruz. Farkl\u0131 R0’a sahip disiplinleri kar\u015f\u0131la\u015ft\u0131r\u0131rsak, P0 \u221d 1\/R0 oldu\u011fu sonucuna var\u0131r\u0131z. Bu, a \u221d 1\/R0 anlam\u0131na gelir ve bu varsay\u0131m\u0131 kan\u0131tlar. Bu nedenle, referans listesi kompozisyonu konular\u0131nda, farkl\u0131 disiplinlerdeki yazarlar\u0131n davran\u0131\u015flar\u0131 \u00e7ok benzerdir.<\/span><\/p>\n

b(R0) ba\u011f\u0131ml\u0131l\u0131\u011f\u0131n\u0131n bir nedeni ne olabilir? Burada b parametresinin at\u0131f a\u011f\u0131n\u0131n yap\u0131s\u0131yla ilgili oldu\u011funu bulduk: ikinci nesil bir at\u0131f makalesini atas\u0131na ba\u011flayan iki sekmeli yollar\u0131n ortalama say\u0131s\u0131n\u0131 karakterize ediyor.<\/span><\/p>\n

Bu konular\u0131 daha derinlemesine anlamak i\u00e7in, bir makaleyi ve onun \u00e7a\u011fda\u015f toplulu\u011funu, yani daha sonra yay\u0131nlanan ve ilke olarak ondan al\u0131nt\u0131 yapabilen t\u00fcm makaleleri ele al\u0131yoruz.<\/span><\/p>\n

D\u00fc\u015f\u00fck at\u0131fl\u0131 bir makalenin ikinci ku\u015fak torunlar\u0131 bu toplulu\u011fun yaln\u0131zca k\u00fc\u00e7\u00fck bir b\u00f6l\u00fcm\u00fcn\u00fc olu\u015fturur, dolay\u0131s\u0131yla atalar\u0131na iki sekmeli tek bir yolla ba\u011fl\u0131d\u0131rlar. Bu, t\u00fcm toplulu\u011fu kapsayan y\u00fcksek oranda at\u0131f alan bir makalenin ikinci nesil soyundan gelenlerle tezat olu\u015fturuyor. Bir\u00e7o\u011fu, atas\u0131na birden \u00e7ok iki sekmeli yolla ba\u011fl\u0131d\u0131r.<\/span><\/p>\n

Bu de\u011ferlendirmeleri nicel bir temele oturtmak i\u00e7in, baz\u0131 kaynak makaleleri ve t\u00fcm ikinci nesil al\u0131nt\u0131 makalelerini dikkate al\u0131yoruz. Bu makalenin at\u0131f say\u0131s\u0131 K iken, Mnn , Nnn s\u0131ras\u0131yla, bir birinci nesil at\u0131f makalesi ba\u015f\u0131na ikinci nesil at\u0131flar\u0131n ve at\u0131f ka\u011f\u0131tlar\u0131n\u0131n say\u0131s\u0131d\u0131r.<\/span><\/p>\n

\u0130kinci nesil at\u0131flar\u0131n ve at\u0131f yapan makalelerin toplam say\u0131s\u0131 s\u0131ras\u0131yla KMnn ve KNnn’dir. Bu say\u0131lar\u0131n oran\u0131, kaynak makaleyi ikinci nesil al\u0131nt\u0131 ka\u011f\u0131d\u0131na ba\u011flayan ortalama iki atlamal\u0131 yol say\u0131s\u0131 olan s’yi verir.<\/span><\/p>\n

\n

Dipnot ile kaynak\u00e7a aras\u0131ndaki farklar<\/span>
\nAPA at\u0131f<\/a> sistemi<\/span>
\nEdit\u00f6r ve derleyen ayn\u0131 m\u0131<\/span>
\nS\u00f6zle\u015fmeye at\u0131f nas\u0131l yap\u0131l\u0131r<\/span>
\nMakalede bak\u0131n\u0131z nas\u0131l yaz\u0131l\u0131r<\/span>
\nEdit\u00f6rl\u00fc Kitap Dipnot<\/span>
\nTablo dipnot G\u00f6sterme<\/span>
\nAra\u015ft\u0131rmada kaynak g\u00f6sterme<\/span><\/p>\n

\n

Torunlar\u0131 k\u00fc\u00e7\u00fck bir grup olu\u015fturan d\u00fc\u015f\u00fck at\u0131fl\u0131 bir makale i\u00e7in \u015funu g\u00f6sterir:<\/span>\u00a0toplulu\u011funun bir par\u00e7as\u0131, Nnn = Mnn ve s = 1 olmu\u015ftur. \u00d6te yandan, soyundan gelenler t\u00fcm toplulu\u011fu kapsayan \u00e7ok at\u0131fl\u0131 bir makale i\u00e7in, KNnn = Q ve s = KMnn > 1 oldu\u011funu g\u00f6sterir.<\/span><\/p>\n

Bu ba\u011flamda d\u00fc\u015f\u00fck ve y\u00fcksek at\u0131fl\u0131 makaleler aras\u0131nda Q’yu tan\u0131mlayan kritik at\u0131f say\u0131s\u0131 K = Q’dur. Bir kritik Mnn momenti i\u00e7in, a\u011f asortativitesini dikkate almay\u0131z ve Mnn = M oldu\u011funu varsayar\u0131z. Dualite ilkesine g\u00f6re M, referans listesinin ortalama uzunlu\u011fu olan R0 ile \u00f6l\u00e7eklenir.<\/span><\/p>\n

Kcrit modelimize nas\u0131l giriyor? K’ye de\u011fil lnK’ye ba\u011fl\u0131 oldu\u011fundan, dolayl\u0131 al\u0131nt\u0131n\u0131n olas\u0131l\u0131k genli\u011fi i\u00e7in genel ifadenin ba\u015fka bir deyi\u015fle b = (lnKcrit)-1 oldu\u011funu varsay\u0131yoruz.<\/span><\/p>\n

Kesikli \u00e7izgi, verilerimizi olduk\u00e7a iyi yakalar ve \u00fc\u00e7 disiplin i\u00e7in de ayn\u0131 Q \u2248 200’\u00fc verir. Yorumumuza g\u00f6re bu, topluluktaki aktif \u00e7al\u0131\u015fma gruplar\u0131n\u0131n say\u0131s\u0131d\u0131r. Bu, tutarl\u0131 bir insan grubunun maksimum boyutu olan Dunbar say\u0131s\u0131n\u0131 hat\u0131rlat\u0131r.<\/span><\/p>\n

At\u0131f \u00d6mr\u00fc<\/span><\/strong><\/h3>\n

Bilimsel makalelerin al\u0131nt\u0131 dinamiklerinin do\u011frusal olmad\u0131\u011f\u0131n\u0131 bulduk, do\u011frusal olmama durumu Denklem 1’deki logaritmik terim taraf\u0131ndan yakaland\u0131. Do\u011frusal olmama zay\u0131f olsa da, \u00f6nemli sonu\u00e7lar\u0131 vard\u0131r, en g\u00f6ze \u00e7arpan\u0131 ka\u00e7aklar\u0131n, yani at\u0131f kariyeri doyuma ula\u015fmam\u0131\u015f ve s\u00fcresiz olarak at\u0131f almaya devam eden makalelerin varl\u0131\u011f\u0131d\u0131r. Bu olguyu analiz etmek i\u00e7in makalelerin al\u0131nt\u0131 \u00f6m\u00fcrlerini inceledik. Bu ama\u00e7la, her makalenin al\u0131nt\u0131 y\u00f6r\u00fcngesini yakla\u015f\u0131k olarak belirledik.<\/span><\/p>\n

\u00d6m\u00fcr, K\u221e, uzun zaman s\u0131n\u0131r\u0131ndaki at\u0131f say\u0131s\u0131d\u0131r ve \u0394 \u223c 1\u20132 y\u0131l, bir makalenin at\u0131f kariyerinin ba\u015flang\u0131c\u0131ndaki gecikmeyi karakterize eder. \u03c40’\u0131n K ile s\u00fcrekli b\u00fcy\u00fcd\u00fc\u011f\u00fcn\u00fc ve belirli Kr’de \u0131raksad\u0131\u011f\u0131n\u0131 g\u00f6sterir, \u00f6yle ki K > Kr olan makaleler s\u00fcperkritik hale gelir, ba\u015fka bir deyi\u015fle, ka\u00e7ak davran\u0131\u015f sergilerler\u2014al\u0131nt\u0131 kariyerleri doymaz.<\/span><\/p>\n

Web sayfas\u0131 pop\u00fclaritesinin da\u011f\u0131l\u0131m\u0131nda da benzer ka\u00e7aklar tespit edildi. Bu ka\u00e7aklar\u0131 karakterize etmek i\u00e7in eskime oran\u0131n\u0131 \u0393 = 1\/\u03c40 olarak de\u011ferlendirdik. \u0393’nin K ile azald\u0131\u011f\u0131n\u0131 ve \u0393 (K) ba\u011f\u0131ml\u0131l\u0131\u011f\u0131n\u0131n ampirik ili\u015fki taraf\u0131ndan yakaland\u0131\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

At\u0131f \u0130\u015flevleri \u015eimdi farkl\u0131 disiplinler i\u00e7in at\u0131f da\u011f\u0131l\u0131mlar\u0131n\u0131 ele al\u0131yoruz. Buna g\u00f6re, yay\u0131ndan sonraki ilk 2-3 y\u0131ldaki at\u0131f da\u011f\u0131l\u0131mlar\u0131 birinci ek (do\u011frudan al\u0131nt\u0131lar) taraf\u0131ndan belirlenirken, daha sonra ikinci ek (dolayl\u0131 al\u0131nt\u0131lar) ba\u015f\u0131 \u00e7eker. Bunu ak\u0131lda tutarak, yay\u0131ndan hemen sonra al\u0131nt\u0131 da\u011f\u0131l\u0131mlar\u0131n\u0131 analiz ettik ve kar\u015f\u0131l\u0131k gelen uygunluk da\u011f\u0131l\u0131mlar\u0131n\u0131 belirledik. Her \u00fc\u00e7 disiplin i\u00e7in de log-normal…
Devam\u0131<\/a><\/p>\n","protected":false},"author":6,"featured_media":10383,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[31641,31642],"tags":[31644,31650,31643,31645,31648,31647,31646,31649],"class_list":["post-12272","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dipnot-ile-kaynakca-arasindaki-farklar","category-sozlesmeye-atif-nasil-yapilir","tag-apa-atif-sistemi","tag-arastirmada-kaynak-gosterme","tag-dipnot-ile-kaynakca-arasindaki-farklar","tag-editor-ve-derleyen-ayni-mi","tag-editorlu-kitap-dipnot","tag-makalede-bakiniz-nasil-yazilir","tag-sozlesmeye-atif-nasil-yapilir","tag-tablo-dipnot-gosterme"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t