Social media mining and knowledge discovery

摘要

With the rapid advances of Internet and Web 2.0, social networking and social media become more and more popular in humans' daily lives. The ubiquitous nature of web-enabled devices, including desktops, laptops, tablets, and mobile phones, enables users to participate and interact with each other in various web communities, including photo and video sharing platforms, forums, newsgroups, blogs, micro-blogs, bookmarking services, and location-based services. The rapidly evolving social networks provide a platform for communication, information sharing, and collaboration among friends, colleagues, alumnus, business partners, and many other social relations. To be accompanied by, increasingly rich and massive heterogeneous media data have been generated by the users, such as images, videos, audios, tweets, tags, categories, titles, geo-locations, comments, and viewer ratings, which offer an unprecedented opportunity for studying novel theories and technologies for social media analysis and mining. While researchers from multidisciplinary areas have proposed intelligent methods for processing social media data and employing such rich multi-modality data for various applications, it is of high interest to discover potentially important knowledge by social media mining in this nascent field.