Text-based link prediction in social networks

Date

2022

Type:

Thesis

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114 p.

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Acceso abierto

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Publisher

Universidad del Desarrollo. Facultad de Gobierno

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Abstract

This thesis aims to contribute to the literature on text-based link prediction methods in scientific collaboration networks with two original works. First, in Chapter I we present a comprehensive survey on text-based link prediction methods in social networks. And second, in Chapter II we introduce a simple but effective approach to improve the performance of text-based link prediction models.

Description

Tesis presentada a la Facultad de Gobierno de la Universidad del Desarrollo para optar al grado académico de Doctor en Ciencias de la Complejidad Social

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Citation

Keywords

Link-prediction, Natural language processing, Scientific collaboration, Complex networks, 060005S, Social networks

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