Mobi Social (Mobile and Social) Data Management: A Tutorial

Abstract

The rise of the Social Internet, in the past decade, stimulated the invention of human-centered technologies that study and serve humans as individuals and in groups. For instance, social networking services provide ways for individuals to connect and interact with their friends. Also, personalized recommender systems leverage the collaborative social intelligence of all users' opinions to recommend: books, news, movies, or products in general. These social technologies have been enhancing the quality of Internet services and enriching the end-user experience. Furthermore, the Mobile Internet allows hundreds of millions of users to frequently use their mobile devices to access their healthcare information and bank accounts, interact with friends, buy stuff online, search interesting places to visit on-the-go, ask for driving directions, and more. In consequence, everything we do on the Mob Social Internet leaves breadcrumbs of digital traces that, when managed and analyzed well, could definitely be leveraged to improve life. Services that leverage Mobile and/or Social data have become killer applications in the cloud. Nonetheless, a major challenge that Cloud Service providers face is how to manage (store, index, query) Mobi Social data hosted in the cloud. Unfortunately, classic data management systems are not well adapted to handle data-intensive Mobi Social applications. The tutorial surveys state-of-the-art Mobi Social data management systems and research prototypes from the following perspectives: (1) Geo-tagged Micro blog search, location-aware and mobile social news feed queries, and GeoSocial Graph search, (2) Mobile Recommendation Services, and (3) Geo-Crowd sourcing. We finally highlight the risks and threats (e.g., privacy) that result from combining mobility and social networking. We conclude the tutorial by summarizing and presenting open research directions.