Open AccessUniversidade Federal de Minas Gerais - Belo Horizonte - MG
Author(s) -
Michele A. Brandão,
Mirella M. Moro
Publication year - 2017
Publication title -
anais do brazilian workshop on social network analysis and mining (brasnam)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/brasnam.2017.3258
Subject(s) - interpersonal ties , dynamism , context (archaeology) , ranking (information retrieval) , strong ties , set (abstract data type) , social network analysis , computer science , social network (sociolinguistics) , sociology , artificial intelligence , social media , world wide web , geography , epistemology , social science , philosophy , archaeology , programming language
The study of social ties has lead to building rigorous models that reveal the evolution of social networks and their dynamism. In this context, a central aspect is the strength of ties, which allows the study of the roles of relationships. Here, besides analyzing the strength of co-authorship ties, we also present a set of metrics and algorithms to measure such strength. Initial studies of social networks have emphasized the importance of properly measuring the strength of social ties to understand social behaviors [Granovetter 1973, Newman 2001]. Also, the study of social ties is fundamental for building rigorous models that reveal the evolution of social networks (SN) and the dynamics of social exchange [Aiello et al. 2014]. More recently, analyzing tie strength has allowed to investigate the roles of relationships including ranking for influence detection [Freire and Figueiredo 2011], as well as its influence in communication patterns [Wiese et al. 2015] and team formation [Castilho et al. 2017].