12/16(三) 論文研討─資訊科學與工程的演講，歡迎聽講！

演講者：李政德 (中央研究院 資訊科技創新研究中心 研究員)

時間：12/16 (三) 15:30-17:20

地點：工程四館 117教室 (ED117)

主持人：曾煜棋教授、范崇碩博士

主題：Mining Social and Diffusion Data with Its Applications

演講大綱(Abstracts)：

       The structures of online social networks, such as Facebook and Twitter, are the essential social playgrounds where user interactions lead to the generation and diffusion of information. Social interactions and the dissemination of various information contents (e.g. news, opinions, and images) provide an unprecedented amount of data for researchers to investigate humanity and invent novel applications. In this talk, I will present our recent advances on mining, predicting, and applying social interactions and information diffusion.

       Specifically, the talk consists of two parts with six topics. In the first part, we study the diffusion of social information to answers the following three questions. (1) Which individuals in social networks are more influential to spread the information? (2) Given an item (e.g. tweet and image) that is propagated in a network, can we predict its future popularity? (3) While online social networking has its Achilles Heel: extreme data sparsity due to short texts, how to use influence propagation to tackle such bottleneck for effective document retrieval? In the second part, we exploit online and offline social interactions to solve three real-world problems. (4) Who are the bad/redundant workers of Crowdsourcing translation in the labor force platform Amazon Mechanical Turk? (5) Assume Starbucks are seeking for new places to expand business, can we recommend Starbucks some candidate locations that can attract more customers? (6) Given offline geographical activities of human beings (e.g. check-ins, and meeting events), can we infer their friendships using no online social links? In the end of this talk, I will also highlight some potential research directions of social computing.

講者簡介(Biography)：

        Cheng-Te Li is now an Assistant Research Fellow at Research Center for Information Technology Innovation (CITI) at Academia Sinica, Taipei, Taiwan. He received his M.S. and Ph.D. degrees from Graduate Institute of Networking and Multimedia, National Taiwan University, in 2009 and 2013, respectively. His research interests include social and information networks, big data mining, and geo-social media analytics. His international recognition includes Facebook Fellowship 2012 Finalist Award, ACM KDD Cup 2012 First Prize (member of NTU team), IEEE/ACM ASONAM 2011 Best Paper Award, and Microsoft Research Asia Fellowship 2010. He had ever given the conference tutorials on social media analytics at WWW 2015, on route planning at ICWSM 2014 and IEEE/ACM ASONAM 2014, and on sampling and summarization in social networks at PAKDD 2013 and SDM 2013. Besides, he has several papers on social data mining published in premier conferences and journals, including WWW, KDD, ICDM, IJCAI, CIKM, ICWSM, ASONAM, TIST, KAIS, and Information Sciences.

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