Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Ming-Yi Chang"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Publikováno v:
IEEE Transactions on Computational Social Systems. 9:1552-1562
Publikováno v:
Data Mining and Knowledge Discovery. 34:1589-1620
Real social network datasets with community structures are critical for evaluating various algorithms in Online Social Networks (OSNs). However, obtaining such community data from OSNs has recently become increasingly challenging due to privacy issue
Publikováno v:
Canadian review of sociology = Revue canadienne de sociologieREFERENCES. 59(2)
The rise of the Big Data paradigm has made it more feasible to track how personal networks evolve on social media, where auto-generated contact records and fine-grained temporal data sequences help capture how and when interpersonal ties and contacts
Autor:
Ming Chang1,2 ming@cycu.edu.tw, Ming-Yi Chang2 03022@gmail.com, Wei-Siou Lin2 hugh0322452@gmail.com, Jacque Lynn Gabayno3 jlfgabayno@mapua.edu.ph
Publikováno v:
Materials (1996-1944). 2015, Vol. 8 Issue 11, p7813-7820. 8p. 1 Color Photograph, 3 Black and White Photographs, 1 Diagram, 1 Chart, 2 Graphs.
Publikováno v:
CIKM
The data of egocentric networks (ego networks) are very important for evaluating and validating the algorithms and machine learning approaches in Online Social Networks (OSNs). Nevertheless, obtaining the ego network data from OSNs is not a trivial t
Autor:
Ming-Yi Chang, Chih-Ying Tseng
Publikováno v:
MDM
Social Anxiety disorder (SAD), one of the most important and common mental disorders, affects a large proportion of individuals around the world. To help identify SAD patients for early intervention, in this study, we bring together computer science
Autor:
Ming-Yi Chang, Chen-Wei Lu, Yun-Jui Hsu, Kei-Peng Lin, Bay-Yuan Hsu, Chen-Hsu Yang, Guang-Siang Lee, Chih-Ya Shen
Publikováno v:
GLOBECOM
Many novel and exhilarating applications emerged in the past decade, thanks to the ubiquity and the volume of data in this big data era. However, large-scale data collection is often expensive and time-consuming, especially in the physical world. To
Publikováno v:
GCCE
We develop a blockchain-based mobile ticketing system which utilizes smart contracts and multi-signature to enforce and authorize the executions of transactions. The transactions of buying and using mobile tickets are verified by the blockchain, and
Publikováno v:
HT
In this paper, we make our first attempt to address this issue by proposing a new research problem to identify a group of users from the OSN, such that the group is a socially tight community and the users' willingness of data contribution is maximiz