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Table 2 Various architectures in MSN

From: Content distribution and protocol design issue for mobile social networks: a survey

Approach

Example

Description

Features

Recommendation system based

Contextualized recommendation [26]

Social fusion [67]

Evaluates a set of social condition and context-aware actions, and to prove whether or not the conditions have been logically verified for both logically verified for both individual and groups of MSN users

Focus on analyzing and discovering the social relationships between users

Fuse the data streams from mobile users, social networks and sensors

Social identity based

Whoz That for [66]

Supports increasingly complex MSN applications

Online social identities with environment adaptive ecosystem

Proximity based

G2G [68]

Provides a location-awareness MSN platform for personalized recommender systems and gaming

Collection of geographic-proximity information about GSM cells

Detect preferences of nearby friends

Architectural system based

Agent-based system architecture [63]

Multidimensional social network architecture [58]

Provides system-level approaches to effectively collect, process, and utilize contextual data from a different source, and facilitate development and the development of context-aware MSN applications

Based on open interfaces between social networking platforms

Generic models to deploy different specific context-aware schemes