TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Social Approach for Context Analysis: Modelling and Predicting Social Network Evolution using Homophily

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoModeling and Using Context
Alaotsikko9th International and Interdisciplinary Conference, CONTEXT 2015, Lanarca, Cyprus, Novemer 2-6,2015. Proceedings
KustantajaSpringer International Publishing
Sivut513-519
Sivumäärä7
ISBN (elektroninen)978-3-319-25591-0
ISBN (painettu)978-3-319-25590-3
DOI - pysyväislinkit
TilaJulkaistu - 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational and Interdisciplinary Conference on Modeling and Using Context -
Kesto: 1 tammikuuta 1900 → …

Julkaisusarja

NimiLecture Notes in Artificial Intelligence
Vuosikerta9405

Conference

ConferenceInternational and Interdisciplinary Conference on Modeling and Using Context
Ajanjakso1/01/00 → …

Tiivistelmä

Understanding the user’s context is important for mobile applications to provide personalized services. Such context is typically based on the user’s own information. In this paper, we show how social network analysis and the study of the individual in a social network can provide meaningful contextual information. According to the phenomenon of homophily, similar users tend to be connected more frequently than dissimilar. We model homophily in social networks over time. Such models strengthen context inference algorithms, which helps determine future status of the user, resulting in prediction accuracy improvements of up to 118% with respect to a naïve classifier.

Tutkimusalat

Julkaisufoorumi-taso