Scholarly Social Computing

Speaker:  Feng Xia – Melbourne, VIC, Australia
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science


In an era of big data, it is not surprising that the amount of scholarly data is increasing at an unprecedented speed. Recent years have witnessed the exponential growth of data in all scientific disciplines as a result of various scholarly activities. The availability of scholarly big data makes it possible to, e.g., profile scholars and institutions in numerous dimensions, discover relationships between scholars, and understand the nature of science. In particular, this has led to the emergence of scholarly social computing, which promises to open up exciting new opportunities to work towards better understanding of the academic society at different levels. For instance, social relationships of scholars could be derived from analysis and mining of scholarly big data. Such opportunities could transform the way how we analyse, understand, and address a lot of critical challenges facing the academic society. This talk will give an overview of social computing in the context of scholarly big data. Special attention will be given to the understanding of academic social networks by means of big data analysis and mining. Some recent advancements in this field will be showcased.

About this Lecture

Number of Slides:  65
Duration:  90 minutes
Languages Available:  Chinese (Simplified), English
Last Updated: 

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