On relational learning and discovery in social networks: a survey
Article
Article Title | On relational learning and discovery in social networks: a survey |
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ERA Journal ID | 125217 |
Article Category | Article |
Authors | Zhang, Ji (Author), Tan, Leonard (Author) and Tao, Xiaohui (Author) |
Journal Title | International Journal of Machine Learning and Cybernetics |
Journal Citation | 10 (8), pp. 2085-2102 |
Number of Pages | 18 |
Year | 2018 |
Publisher | Springer |
Place of Publication | Germany |
ISSN | 1868-8071 |
1868-808X | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s13042-018-0823-8 |
Web Address (URL) | https://link.springer.com/article/10.1007/s13042-018-0823-8 |
Abstract | The social networking scene has evolved tremendously over the years. It has grown in relational complexities that extend a vast presence onto popular social media platforms on the internet. With the advance of sentimental computing and social complexity, relationships which were once thought to be simple have now become multi-dimensional and widespread in the online scene. This explosion in the online social scene has attracted much research attention. The main aims of this work revolve around the knowledge discovery and datamining processes of these feature-rich relations. In this paper, we provide a survey of relational learning and discovery through popular social analysis of different structure types which are integral to applications within the emerging field of sentimental and affective computing. It is hoped that this contribution will add to the clarity of how social networks are analyzed with the latest groundbreaking methods and provide certain directions for future improvements. |
Keywords | online social networks; social internetworking scenarios; homogeneous networks; heterogeneous networks; hybrid networks; multi-dimensional relational learning |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
461399. Theory of computation not elsewhere classified | |
460208. Natural language processing | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q519x/on-relational-learning-and-discovery-in-social-networks-a-survey
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