Social Network Analysis using Interest Mining: A Critical Review
نویسندگان
چکیده
منابع مشابه
A Review of Spatial Factor Modeling Techniques in Recommending Point of Interest Using Location-based Social Network Information
The rapid growth of mobile phone technology and its combination with various technologies like GPS has added location context to social networks and has led to the formation of location-based social networks. In social networking sites, recommender systems are used to recommend points of interest (POIs) to users. Traditional recommender systems, such as film and book recommendations, have a lon...
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A person’s interests exist as an internal state and are difficult to define. Since only external actions are observable, a proxy must be used that represents someone’s interests. Techniques like collaborative filtering, behavioral targeting, and hashtag analysis implicitly model an individual’s interests. I argue that these models are limited to shallow, temporary interests, which do not reflec...
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Recommender systems are essential to overcome the information overload problem in professional learning environments. In this paper, we investigate interest-based recommendation in academic networks using social network analytics (SNA) methods. We implemented 21 different recommendation approaches based on traditional Collaborative Filtering (CF), Singular Value Decomposition (SVD)-based RS, Tr...
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This project was motivated by the need to meaningfully display large amounts of Social Network Analysis (SNA) data from an exploratory case study into the existence of technological convergence in Australia. We found that many tools used for the display of SNA data did not handle large datasets well due to the denseness of information, a typical problem in the display of large graphs. The appro...
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ژورنال
عنوان ژورنال: Indian Journal of Science and Technology
سال: 2016
ISSN: 0974-5645,0974-6846
DOI: 10.17485/ijst/2016/v9i16/71738