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Facebook en ny datakälla: En studie om extraktion av positiv eller negativ lojalitet hos en individ från extern data
KTH, School of Information and Communication Technology (ICT).
2014 (Swedish)Independent thesis Advanced level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Idag kretsar samhället runt sociala medier. Allt fler sociala plattformar skapas där människor kan dela med sig av händelser, åsikter och intressen. Sociala medier kan ses som en stor informationskälla med data över individers åsikter och upplevelser. Denna rapport presenterar en studie som undersöker om det finns starka attribut på individnivå som kan extraheras från sociala plattformer för att ge ökad företagsnytta.

Genom att undersöka en social plattform och hitta samband mellan vissa attribut hos en individ kan omdöme skapas om hur dessa förhåller sig till ett företags vinstdrivande egenskaper, vilket kan gynna företag. Studien kommer även att undersöka vilka möjligheter det finns att extrahera denna information ur en social plattform. Syftet med rapporten är att påvisa nya möjligheter att ta ut extern data för analys och vilka attribut som kan vara väsentliga. Resultatet från insamling av data från extern datakälla påvisade flera attribut som indikerar individens positiva eller negativa lojalitet.

Abstract [en]

Social media is a central part of today’s society. Increasingly more social platforms are created where people are able to share events, opinions and interests. Social media can be viewed as an extended information source containing data of individual’s opinions and experiences. This report studies whether there are strong attributes on individual’s level that can be extracted from the social platform, which may give increased corporate benefit.

By examining a social platform and finding correlations between certain attributes of an individual and judge how they relate to a company's profit making features, which statistically may benefit the company. The study will also examine how to extract this information from a social platform. The report aims to show new opportunities to extract the external data for analysis and which attributes are essential. The result from the collection of data from external data source revealed several attributes which indicates an individual's positive or negative loyalty towards the company

Place, publisher, year, edition, pages
2014. , 48 p.
Series
TRITA-ICT-EX, 2014:142
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-177371OAI: oai:DiVA.org:kth-177371DiVA: diva2:872507
Examiners
Available from: 2015-11-19 Created: 2015-11-19 Last updated: 2017-08-03Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • Other locale
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Output format
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