面向众包的社交网络分析构建研究方法

Nivedita Kasturi, S. G. Totad, Goldina Ghosh
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引用次数: 0

摘要

社交网络的贡献不仅局限于人际关系,而且越来越多的研究工作正朝着利用社交网络潜力的其他商业应用领域开展。尽管在社交网络领域已经开展了几十年的工作,但由于不同程度的研究挑战,将社交网络用于众包的想法并没有受到太多关注。现有的研究没有关于这方面的讨论,因此,本文有助于探索在社交网络上构建分析的现有方法的优缺点,以便了解众包在处理大量非结构化数据时可能遇到的挑战。本文还有助于说明研究趋势,突出可能的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Approaches for Building Analytics in Social Network towards Crowdsourcing
Contribution of social network is not only limited to inter-personal relationship, but there are increasing number of research works carried out towards other arena of commercial applications harnessing the potential of social network. Irrespective of decades of work being carried out in social networking, the idea of using social networking towards crowdsourcing has not received much attention owing to different levels of research challenges. Existing studies have no reported discussion about this and therefore, this paper contributes towards exploring the strength and weakness of existing approaches of building analytics on social networking in order to understand the possible challenges that crowdsourcing encounters while dealing massive and unstructured data. The paper also contributes towards illustrating research trends highlighting the possible limitations.
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