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Title:PAJEK ZA ISKANJE NASTAVITEV ZASEBNOSTI NA DRUŽABNEM OMREŽJU FACEBOOK
Authors:ID Žerdoner, Darian (Author)
ID Hölbl, Marko (Mentor) More about this mentor... New window
ID Nemec Zlatolas, Lili (Comentor)
Files:.pdf UNI_Zerdoner_Darian_2014.pdf (1,66 MB)
MD5: F70B6B3CAE388BC046ABF4103D605081
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Spletni pajki so relativno enostavni avtomatizirani programi, ki metodično obiskujejo in pregledujejo spletne strani. Pogosto so narejeni za enkratno uporabo, a veliko jih je programiranih tudi za dolgoročno. Preučili smo teorijo in delovanje spletnih pajkov ter se lotili izdelave svojega za namene iskanja podatkov na družbenem omrežju Facebook. Tekom dela smo naleteli na oviro v obliki omejitev pajkanja na strani Facebook, zaradi česar smo morali za analizo podatkov, pridobljenih glede na nastavitve zasebnosti, uporabiti podatke, ki so jih v preteklosti zbrali drugi pajki. Po analizi smo prikazali njihovo uporabnost, prav tako pa smo implementirali zbrano znanje na praktičnem primeru pajkanja.
Keywords:spletni pajek, pajkanje, Facebook, nastavitve zasebnosti
Place of publishing:[Maribor
Publisher:D. Žerdoner
Year of publishing:2014
PID:20.500.12556/DKUM-45300 New window
UDC:004.738.5:316.472.4(043.2)
COBISS.SI-ID:19172374 New window
NUK URN:URN:SI:UM:DK:1LM7GTVC
Publication date in DKUM:06.11.2015
Views:1693
Downloads:108
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:WEB CRAWLER THAT SEARCHES FOR PRIVACY SETTINGS IN THE SOCIAL NETWORK FACEBOOK
Abstract:Web crawlers are relatively simple automated programs that methodically visit and check websites. They are often made for one-time use, but a lot of them are programmed for the long run as well. We have studied the theory behind how web crawlers work and began work on our own for the purposes of finding data on the Facebook social network. During our work we have stumbled across an insurmountable hurdle in the form of crawling limitations set by the Facebook social network. In order to analyze the data gathered according to Facebook’s privacy settings, we have been forced to use data, gathered in the past by other crawlers. After our analysis we have shown the uses for such data, and we have also implemented our gathered knowledge on a practical case of crawling.
Keywords:web crawler, crawling, Facebook, privacy settings


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