Using web crawlers for feature extraction of social nets for analysis

• Main Authors: Noor, Fozia, Shah, Asadullah, Gill, Waris, Ahmad Khan, Shoab
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Verlag 2018
• Subjects: T Technology (General); T58.6 Management information systems
• Online Access: http://irep.iium.edu.my/64755/2/64755_Using%20Web%20Crawlers_SCOPUS.pdf; http://irep.iium.edu.my/64755/3/64755_Using%20Web%20Crawlers.pdf; http://irep.iium.edu.my/64755/; https://link.springer.com/chapter/10.1007/978-3-319-54978-1_40

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. © Springer International Publishing AG 2018.