Using web crawlers for feature extraction of social nets for analysis
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 an...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Verlag
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/64755/ http://irep.iium.edu.my/64755/ http://irep.iium.edu.my/64755/ 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 |
| Summary: | 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. |
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