Noor, Fozia and Shah, Asadullah and Gill, Waris and Ahmad Khan, Shoab (2018) Using web crawlers for feature extraction of social nets for analysis. In: 14th International Conference on Information Technology - New Generations (ITNG 2017), 10th-12th April 2017, Las Vegas.
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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. © Springer International Publishing AG 2018.
Item Type: | Conference or Workshop Item (Plenary Papers) |
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Additional Information: | 6566/64755 |
Uncontrolled Keywords: | Social Network Analysis, Web crawling, Feature extraction, Preprocessing |
Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T55.4 Industrial engineering.Management engineering. > T58.6 Management information systems |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System |
Depositing User: | Prof Asadullah Shah |
Date Deposited: | 11 Jul 2018 11:28 |
Last Modified: | 11 Jul 2018 11:42 |
URI: | http://irep.iium.edu.my/id/eprint/64755 |
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