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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Verlag
2018
|
| Subjects: | |
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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. |
|---|