Online Social Networks (OSNs), such as Facebook, Twitter and Foursquare, have become increasingly important in the last decade and are now an integral part of many people’s daily life. For Facebook, there are 1.62 billion daily active users with an increase of 9% year-over-year and 2.45 billion monthly active users with an increase of 8% year-over-year in 2019. Facebook users spend an average of 38 minutes a day according to SocialMediaToday. For Twitter, there are more than 330 million monthly active users in 2019. In addition, Twitter has 139 million daily active users in 2019, up 14% from the year-earlier period, and there are 140 million tweets per day, which adds up to a billion tweets in a week. YouTube currently has 2 billion monthly active users with a 5% increase in 2019.
Also, social networks and human computation have brought new applications to natural language processing (NLP), mobile computing, multimedia, data mining, and human-centered computing. For example, NLP and data mining in social networks enable researchers to understand the trend, sentiment, influence, and opinions of the users in social networks. By considering the social comments, links, and interactions, the ranking and recommendations of multimedia contents become more precise and effective. Moreover, by examining the social relations of users with mobile devices, researchers can exploit location-based and contextual information embedded with mobile social networks to create useful insights for community discovery, group mobility patterns, and location-based viral marketing. Finally, human-centered computing can leverage social networks to build systems for problem-solving in distributed environments. The social and human factors in these areas indeed enable many new applications, and new challenges arise due to the additional dimension necessary to be carefully examined.
Therefore, it is envisaged that the direction of this program, Social Networks and Human-Centered Computing, is crucial from the perspectives of academia and industry. National Tsing Hua University (NTHU), National Chengchi University (NCCU), and Academia Sinica jointly establish the TIGP on Social Networks and Human-Centered Computing (SNHCC) in 2012. SNHCC are new important applications and technologies that have been rapidly developing in recent years. The TIGP SNHCC program can cultivate Taiwanese and international talents in related areas to the program, strengthen innovative potential, and enhance the level of academic research. NTHU, NCCU and Academia Sinica will co-play leading and supervisory roles, and provide research resources and equipment. Additionally, the participating scholars of these three institutions will be jointly responsible for teaching activities, supervising research, and guiding international graduate students.
|Coordinator:||Dr. Mi-Yen Yeh 葉彌妍研究員
Institute of Information Science
|TEL:||886-2-2788-3799 ext. 1412|
|Program Assistant :||Jheng-Kun Lin 林政昆先生|
|TEL:||886-2-2788-3799 ext. 2303|