The optimization of homogeneity in social interest groups in Online Social Networks involves their formation and evolution and it is based on both users’ preferences and Choices of the administrators’ groups. To consider the satisfaction of group members, also taking into account their similarity, the homogeneity of a social group it is often regarded as a basilar condition. In this paper we introduce a group homogeneity measure based on users’ behavioral information. Such a measure is optimized by a novel algorithm that by operating in a fully-distributed multi-agent framework performs users and groups profiles matching. Such an approach produces clear and significant advantages in groups formation in an online social network context as it is shown by some experi-mental campaigns performed on simulated social networks

Optimizing social group homogeneity in online communities / DE MEO, P; Rosaci, D; Sarne', G. - In: SCS M&S MAGAZINE. - ISSN 2168-703X. - 4:3(2014), pp. 8.1-8.12.

Optimizing social group homogeneity in online communities

ROSACI D;SARNE' G
2014-01-01

Abstract

The optimization of homogeneity in social interest groups in Online Social Networks involves their formation and evolution and it is based on both users’ preferences and Choices of the administrators’ groups. To consider the satisfaction of group members, also taking into account their similarity, the homogeneity of a social group it is often regarded as a basilar condition. In this paper we introduce a group homogeneity measure based on users’ behavioral information. Such a measure is optimized by a novel algorithm that by operating in a fully-distributed multi-agent framework performs users and groups profiles matching. Such an approach produces clear and significant advantages in groups formation in an online social network context as it is shown by some experi-mental campaigns performed on simulated social networks
2014
Social Group; Homogeneity; On-line Communities
File in questo prodotto:
File Dimensione Formato  
DeMeo_2014_SMS_optimizing_editor.pdf

non disponibili

Descrizione: versione editoriale
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 553.97 kB
Formato Adobe PDF
553.97 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/6171
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact