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Monthly Archives: April 2014

The Hyper-Social Organization: Eclipse Your Competition by Leveraging Social Media

Based on the famous “Tribalization of Business Study,” this book is the definitive guide to using social media for organizational success and establishing a real human presence on the Web and in social media communities.

Opinion Dynamics in Social Networks

Understanding how users form and update their opinions through interactions with their friends and neighbors in social networks is a fundamental problem with applications to online advertising, recommendations, and marketing. In our research, we carried out extensive user studies using Amazon Mechanical Turk as part of which we measured the adoption and changes in opinions of the participants on a variety of topics such as car and soda brands, green energy, organic food etc. The experiments comprised of the following steps – 1. Ask the user to give her innate (starting) opinion on a given topic. 2. Show her a set of opinions of other users participating in the experiment. 3. Ask her for her opinion on the topic again. These are anonymized users and number around 200.

Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena

A comprehensive source of research for those in the social sciences and humanities, this thorough guide satisfies the need for methodological consideration and tools for data collection, analysis and presentation in virtual communities.

Context-Aware Personal Information Retrieval From Multiple Social Networks

People use a variety of social networking services to collect and organize web information for future reuse. When such contents are actually needed as reference to reply a post in an online conversation, however, the user may not be able to retrieve them with proper cues or may even forget their existence at all. In this paper, we study this problem in the online conversation context and investigate how to automatically retrieve the most context-relevant previously-seen web information without user intervention. We propose a Context-aware Personal Information Retrieval (CPIR) algorithm, which considers both the participatory and implicit-topical properties of the context to improve the retrieval performance. Since both the context and the user’s web information are usually short and ambiguous, the participatory context is utilized to formulate and expand the query. Moreover, the implicit-topical context is exploited to implicitly determine the importance of each web information of the targeting user in the given context. The experimental results using real-world dataset demonstrate that CPIR can achieve significant improvements over several baselines.

International Workshop on Social Networks and its Applications on Education (SoNAEdu 2014)

The International Workshop on Social Networks and its Applications on Education (SoNAEdu 2014) takes place in Beijing starting on Aug 4, 2014. Papers must be registered by May 16, 2014 1:00 AM. The conference home page is at

Mobility Data: Modeling, Management, and Understanding

This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild).