Access restricted to students and staff of home institution
master's thesis
1   1
Social networks analysis for predicting marketing trend
Šimun Šunjić (2014)
University of Zagreb
Faculty of Organization and Informatics Varaždin
Department of Theoretical and Applied Foundations of Information Sciences
Metadata
TitleAnaliza društvenih mreža za predviđanje marketinškog trenda
AuthorŠimun Šunjić
Mentor(s)Dragutin Kermek (thesis advisor)
Abstract
Svrha ovog rada je razviti aplikaciju koja iskorištava podatke s Internetskih društvenih mreža (Facebook, Twitter, LinkedIn) i koristi ih za predviđanje marketinških trendova. Kao takva služi kao pomoć menadžerima koji se bave predviđanjem da uspješnije ciljaju marketing, proizvodnju ili prodaju proizvoda u određeno doba godine na točno dobivenu lokaciju iz statističkih podataka.
Parallel title (English)Social networks analysis for predicting marketing trend
Committee MembersMarkus Schatten
GranterUniversity of Zagreb
Faculty of Organization and Informatics Varaždin
Lower level organizational unitsDepartment of Theoretical and Applied Foundations of Information Sciences
PlaceVaraždin
StateCroatia
Scientific field, discipline, subdisciplineSOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Study programme typeuniversity
Study levelgraduate
Study programmeDatabase and Knowledge Base Studies
Academic title abbreviationmag.inf.
Genremaster's thesis
Language Croatian
Defense date2014-09-08
Parallel keywords (Croatian)apache cassandra apache lucene / solr društvene mreže facebook marketing storm twitter web 2.0
Resource typetext
Access conditionAccess restricted to students and staff of home institution
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:211:524074
CommitterMarinko Kokotec