Many real-world relations can be represented by signed networks with positive and negative links, and signed network analysis has attracted increasing attention from multiple disciplines. With the evolution of data from offline to social media networks, signed network analysis has evolved from developing and measuring theories to mining tasks. In this article, we present a review of mining signed networks in social media and discuss some promising research directions and new frontiers. We begin by giving basic concepts and unique properties and principles of signed networks. Then we classify and review tasks of signed network mining with representative algorithms. We also delineate some tasks that have not been extensively studied with formal definitions and research directions to expand the boundaries of signed network mining.
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