An Approach for Characterizing Group-Based Interactive Environments
Current developments on Internet and mobile computing platforms have been providing improved functionalities to enable new mechanisms for user interaction and for disseminating information. These web-based environments/applications generate large amounts
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An Approach for Characterizing Group-Based Interactive Environments Carmen Morgado, Tânia Leitão and Jose C. Cunha
Abstract Current developments on Internet and mobile computing platforms have been providing improved functionalities to enable new mechanisms for user interaction and for disseminating information. These web-based environments/applications generate large amounts of information posing the need for efficient mechanisms to identify and extract relevant information both for individual users and for groups of users. It is also known that humans tend to interact with each other in order to share information and cooperate to achieve common goals in professional, social and personal contexts. That is why it seems natural to aggregate users in groups that somehow reflect their similar interests and affinities. As groups typically reflect similarity and proximity relationships among their members, it is expected that their usage help guiding/improving the search for relevant information concerning their common interests and affinities. It can also contribute to improve related group functionalities, such as user and group application personalization, and promote interaction and collaboration among users. In this chapter, we present a brief study of grouprelated functionalities in social interactive environments. We present an approach for the characterization of groups utility based on a set of indicators that are used for assisting the management of the groups lifecycle, concerning group membership and shared information on the particular case of Facebook. Keywords Groups · Social networks · Information relevance
C. Morgado (B) · T. Leitão · J. C. Cunha CITI, Dept. Informática, FCT, Universidade Nova de Lisboa, 2829-516 Caparica , Portugal e-mail: [email protected] T. Leitão e-mail: [email protected] J. C. Cunha e-mail: [email protected]
C. Lai et al. (eds.), Distributed Systems and Applications of Information Filtering and Retrieval, Studies in Computational Intelligence 515, DOI: 10.1007/978-3-642-40621-8_5, © Springer-Verlag Berlin Heidelberg 2014
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1 Introduction Nowadays people are getting more used to rely on social network sites to share information and communicate easily in a fast way and almost without cost. In the most popular social network sites now such as Facebook [1], Twitter [2], Flickr [3], Google+ [4], people can send messages with different kind of contents like text, images, videos or even links that contribute to improve the amount and type of information shared. As a consequence of this trend there is an ever increasing amount of information found in social networks sites, often not very relevant for the user. One way to assist the users in filtering and selecting the more useful information is to consider the user organization in groups of individuals, which are interrelated by their characteristics, common interests and interactions. As a matter of fact, the natural aggregation of individuals in groups matches a typical behavioral pattern in social network
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