Abstract
Motivated by detecting false friend links in online social networks, we define two optimization problems based on the balance theory for structural transitivity in social networks. We give a polynomial time algorithm for one problem and show the NP-hardness of the other. For the NP-hard problem, we show some polynomial time solvable cases and give a 2-approximation algorithm for a restricted version. We also propose a heuristic algorithm for a more general version of the problem.
Keywords
- algorithm
- social network analysis
- time complexity
- NP-hard
- approximation algorithm
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Wu, B.Y. (2011). On the Maximum Locally Clustered Subgraph and Some Related Problems. In: Wang, W., Zhu, X., Du, DZ. (eds) Combinatorial Optimization and Applications. COCOA 2011. Lecture Notes in Computer Science, vol 6831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22616-8_19
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DOI: https://doi.org/10.1007/978-3-642-22616-8_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22615-1
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