Abstract
This paper presents a crawler based feature extraction technique for social network analysis. This technique crawl a predefined actor and his associated activities in social network space. From the activities, a set of features are extracted that can be used for a broad spectrum of social network analysis. The utility can act as a middle ware providing a level of abstraction to researchers involved in social network analysis. The tools provide a formatted set of ready features with open APIs that can be easily integrated in any application.
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Noor, F., Shah, A., Gill, W., Khan, S.A. (2018). Using Web Crawlers for Feature Extraction of Social Nets for Analysis. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 558. Springer, Cham. https://doi.org/10.1007/978-3-319-54978-1_40
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DOI: https://doi.org/10.1007/978-3-319-54978-1_40
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