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Proposed a feasible algorithm for local community discovery in temporal networks named TNLCD. TNLCD algorithm is designed based on an improved temporal network model and a local modularity definition of our own for temporal networks. Experimental results on real-world datasets prove that TNLCD algorithm is not sensitive to initial nodes selection strategy and capable of revealing rich detailed community structure information which make the algorithm works well both in theoretical researches and practical applications.
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