Titlebook: Computational Social Networks; Mining and Visualiza Ajith Abraham Book 2012 Springer-Verlag London 2012 Ad Hoc Network Applications and Ser

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Book 2012ntation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.

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https://doi.org/10.1007/978-3-031-08961-9er or inform. Social networks are very popular nowadays and the understanding of their inner structure seems to be promising area. Cluster analysis has also been an increasingly interesting topic in the area of computational intelligence and found suitable in social network analysis in its social ne

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https://doi.org/10.1007/978-3-319-27905-3ntent, such as images and videos. Due to technological advances it has become extremely simple to create and share such content in (near) real-time, and even associate it with a location where it was made (i.e. geo-reference it). All of this has caused tremendous amounts of geo-referenced multimedia

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https://doi.org/10.1007/978-3-319-27905-3nteresting characteristics of micro-blogging services, such as being user oriented, provide opportunities for different applications to use the content of these sites to their advantage. However, the same characteristics become the weakness of these sites when it comes to data modelling and analysis

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https://doi.org/10.1007/978-3-319-27905-3 e-commerce emerged based on online or offline social network, such as group-buying, social buying and viral marketing. The target environments are those involving large amounts of relational data that is time-dependent. Such characteristics require time-sensitive network analyses to support decisio