Strategies Comparison in Link Building Problem | Marco Grassia

Strategies Comparison in Link Building Problem

Abstract

Choosing an effective yet efficient solution to the link building problem means to select which nodes in a network should point a newcomer in order to increase its rank while limiting the cost of this operation (usually related to the number of such in-links). In this paper we consider different heuristics to address the question and we apply them both to Scale-Free (SF) and Erdős-Rényi (ER) networks, showing that the best tradeoff is achieved with the long-distance link approach, i.e. a newcomer node gathering farthest in-links succeeds in improving its position (rank) in the network with a limited cost.

Publication
International Symposium on Intelligent and Distributed Computing 2019
Marco Grassia
Marco Grassia
Research Fellow · Network Science and Machine Learning

Research Fellow in Network Science and Machine Learning at University of Catania

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