Abstract
The paper proposes a procedure to analyse local patterns of connectivity among people in social networks using the idea of ego-centric network. The ego-centric networks of every nodes are transformed into normalized representation and classified into patterns. The procedure can be applied to large dataset by giving it in SQL code. We applied the procedure to friendship networks and demonstrated distinguished properties compared to other networks. We found out that friendship network contains large variety of patterns.
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© 2011 Springer-Verlag Berlin Heidelberg
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Inuzuka, N., Takeuchi, S., Matsushima, H. (2011). Pattern Mining on Ego-Centric Networks of Friendship Networks. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23866-6_10
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DOI: https://doi.org/10.1007/978-3-642-23866-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23865-9
Online ISBN: 978-3-642-23866-6
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