Improving local clustering based top-L link prediction methods via asymmetric link clustering information

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Improving local clustering based top-L link prediction methods via asymmetrical link clustering information

Networks can represent a wide range of complex systems, such as social, biological and technological systems. Link prediction is one of the most important problems in network analysis, and has attracted much research interest recently. Many link prediction methods have been proposed to solve this problem with various technics. We can note that clustering information plays an important role in s...

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ژورنال

عنوان ژورنال: Physica A: Statistical Mechanics and its Applications

سال: 2018

ISSN: 0378-4371

DOI: 10.1016/j.physa.2017.11.103