Context-Aware Middleware for Anytime, Anywhere Social Networks

Bottazzi,; Montanari, Rebecca; Toninelli, Alessandra

doi:10.1109/mis.2007.4338491

Cited by 80 publications

(40 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to search for content or for a service that Copyright ⓒ 2015 SERSC more efficiently suits the preferences of the user, the recommendation system detects user's interests by analyzing his/her history, including past life-style and purchasing patterns. Other systems and middleware [15][16][17] devised application specific services such as location and data discovery in social network.…”

Section: Related Workmentioning

confidence: 99%

Improving the Architecture of Communication Middleware for Social Networking Services

Lim

2015

IJSEIA

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

Improving the Architecture of Communication Middleware for Social Networking Services

Lim

2015

IJSEIA

View full text Add to dashboard Cite

show abstract

“…MobiSoC is among the very few platforms that target mobile social computing. The closest work to ours is the SAMOA middleware [10], which extracts, and shares with applications, location-aware social networks using semantic-based context-modeling and matching algorithms. Both middleware architectures use places and user profiles to model the social world.…”

Section: Related Workmentioning

confidence: 99%

MobiSoC: a middleware for mobile social computing applications

et al. 2008

View full text Add to dashboard Cite

Abstract. Recently, we started to experience a shift from physical communities to virtual communities, which leads to missed social opportunities in our daily routine. For instance, we are not aware of neighbors with common interests or nearby events. Mobile social computing applications (MSCAs) promise to improve social connectivity in physical communities by leveraging information about people, social relationships, and places. This article presents MobiSoC, a middleware that enables MSCA development and provides a common platform for capturing, managing, and sharing the social state of physical communities.Additionally, it incorporates algorithms that discover previously unknown emergent geo-social patterns to augment this state. To demonstrate MobiSoC's feasibility, we implemented and tested on smart phones two MSCAs for location-based mobile social matching and place-based ad hoc social collaboration. Experimental results showed that MobiSoC can provide good response time for 1000 users. We also demonstrated that an adaptive localization scheme and carefully chosen cryptographic methods can significantly reduce the resource consumption associated with the location engine and security on smart phones. A user study of the mobile social matching application proved that geo-social patterns can double the quality of social matches and that people are willing to share their location with MobiSoC in order to benefit from MSCAs.

show abstract

“…Current SNS typically focus on a particular dimension of shared interests that may bring people together: maintaining and establishing new professional contacts (LinkedIn), communication among college classmates (FaceBook), or connecting people based on their musical preferences (Last.fm). There is an emerging class of mobile SNS deployed mainly in urban areas and designed to support serendipitous social connections [4,21]. SeeCCT and three other SNS described below (Murmur, Yellow Arrow, and Dodgeball) belong to this class of applications.…”

Section: Related Workmentioning

confidence: 99%