Paper Info
Title
Measuring interactivity and geographical closeness of Online Social Network users to support social recommendation systems
Abstract
Several applications (e.g., Instagram, PiCsMu) integrate existing Online Social Networks (OSN) into the core of their solutions to explore social information. Although this integration enables more accurate social recommendation systems, the collection and monitoring of relevant OSN data by third-party applications is a challenging management task, since OSNs (a) impose rate restrictions to their Application Programming Interface (API) calls, (b) do not provide detailed information about specific OSN features, and (c) may provide incomplete or not up-to-date OSN data. Therefore, this paper covers the design, prototyping, and evaluation of JSocialLib, a new meta-API library for collecting OSN data from existing OSNs. It provides (1) an interaction- and (2) a location-based method in support of social recommendations systems.
Year
DOI
Venue
2014
10.1109/CNSM.2014.7014157
Network and Service Management
Keywords
Field
DocType
application program interfaces,recommender systems,social networking (online),API calls,JSocialLib,OSN,application programming interface,geographical closeness,interaction-based method,interactivity measurement,location-based method,management task,meta-API library,online social network users,rate restrictions,social recommendation systems,Monitoring,Online Social Model,Online Social Networks,Recommendation System,Social Data
Recommender system,Interactivity,World Wide Web,Social network,Closeness,Computer science,Online participation,Application programming interface,Social information,Social computing
Conference
ISSN
Citations 
PageRank 
2165-9605
0
0.34
References 
Authors
14
4
Name
Order
Citations
PageRank
Guilherme Sperb Machado1497.99
Thomas Bocek27514.76
Alexander Filitz300.34
Burkhard Stiller41302208.45