Bit By Bit - Yin hali - 2.4.1.2 Friendship samuwar tsakanin dalibai
Masu bincike amfani email rajistan ayyukan da administrative records fahimtar aminci samuwar. Wannan bincike bukatar tafiyad da incompleteness na babban data.
A da yawa yanayi, masu bincike ba su m isa a yi duk abin da suke so ta atomatik tattara a wuri guda. Biyu na kowa matsaloli ne bai cika bayani game da mutãne, kuma wata mismatch tsakanin msar tambayar gina da bayanai. Duka wadannan matsaloli da aka jawabi da Kossinets da Watts (2009) a matsayin wani ɓangare na da kokarin fahimtar yadda social networks halittu farfadowa.
Wajen magana, masu bincike zaton social network juyin aka kore ta uku siffofin: 1) tsarin data kasance dangantaka 2) shared ayyukan (misali, dorms, azuzuwan) da kuma 3) demographics. Fahimtar interrelationships tsakanin wadannan uku dalilai na bukatar a tsaye cibiyar data hade tare da bayani game mutane 'demographics da ayyukan. Tun da farko karatu da wasu daga cikin wadannan siffofin, amma babu wanda ya yi dukan uku.
Kossinets da Watts fara bincike ta hanyar samun da email rajistan ayyukan daga babban jami'a. Duk da haka, wadannan email rajistan ayyukan kadai suke bai cika ba, ba su hada da duk abin da ake bukata a fahimci daban-daban dalilai tuki cibiyar juyin halitta. Saboda haka, Kossinets da Watts merged wadannan email rajistan ayyukan, tare da biyu da sauran hanyoyin bayani: alƙaluma bayanai tattara zuwa jami'a da kuma bayani game da shared ayyukan (misali, dalibi mazaunin bayanai da kuma cikakken jerin rejista a Darussan). Da zarar wadannan uku samo bayanai, kowanne daga abin da yake bai cika, aka merged tare Kossinets da Watts yana da iko data tsarin domin fahimtar cibiyar juyin halitta.
Amma, akwai daya karshe kalubale da cewa suna da shawo kan. Kossinets da Watts so ya yi nazarin yadda zamantakewa na cibiyar sadarwa a wannan jami'a samo asali haka suna bukatar a hanya don amfani da email rajistan ayyukan cikin wani kimanta na wanda aka haɗa zuwa wanda a da lokaci. Kamar yadda aka tattauna a baya (Sashe 2.3.2.1), irin wannan operationalization na msar tambayar gina shi ne babban kalubale a lokacin da ta yin amfani da digital burbushi for zamantakewa bincike. A ƙarshe, Kossinets da Watts yanke shawarar cewa mutane biyu da aka dauke da alaka a lokacin \ (t \) idan kuma kawai idan suka yi musayar imel (\ (i \) i-mel \ (j \) da kuma \ (j \) i-mel \ ( i \)) a baya 60 days. Wadannan zabi kasance ba sabani. da suka kasance sunã bisa hankali la'akari da wannan empirical saitin, kuma Kossinets da Watts bari cewa Sakamakon robust wadannan zabi. A general, idan ka operationalization shafi zabar wasu takamaiman cutoffs-ce 60 days maimakon kwanaki 30 ko 90 days-shi ne mai kyau ra'ayin don tabbatar da cewa your sakamakon ba m da wannan zabi.
Da zarar Kossinets da Watts jawabi matsalar lalacewa ta hanyar incompleteness (misali, m alƙaluma bayanai, m bayani game da shared ayyuka, da kuma m msar tambayar gina), suna da data da ya sa su su fahimci uku main sojojin da za su iya fitar da cibiyar juyin halitta: 1) tsarin data kasance dangantaka 2) shared ayyukan (misali, dorms, azuzuwan) da kuma 3) demographics. M da baya bincike, sun gano cewa, mutane da irin wannan demographics ne mafi kusantar su samar da dangantaka. Duk da haka, sabanin a baya karatu, sai suka gano cewa wannan abin kwaikwaya aka karfi saukake ta data kasance cibiyar tsarin da shared ayyukan. A wasu kalmomin, fasalin da baya masu bincike ya gani aka partially bayyana da bayanai da a baya masu bincike ba su. Saboda haka, da nasarar tafiyad da incompleteness da data, Kossinets da Watts sun iya bayyana hulda da wani iri-iri daban-daban abubuwan da fitar da zamantakewa na cibiyar sadarwa evolutions.