Abstract

It is important to consider the interweaving nature of online and offline social networks when we examine social network evolution. However, it is difficult to find any research that examines the process of social tie formation from an integrated perspective. In our study, we quantitatively measure offline interactions and examine the corresponding evolution of online social network in order to understand the significance of interrelationship between online and offline social factors in generating social ties. We analyze the radio signal strength indicator sensor data from a series of social events to understand offline interactions among the participants and measure the structural attributes of their existing online Facebook social networks. By monitoring the changes in their online social networks before and after offline interactions in a series of social events, we verify that the ability to develop an offline interaction into an online friendship is tied to the number of social connections that participants previously had, while the presence of shared mutual friends between a pair of participants disrupts potential new connections within the pre-designed offline social events. Thus, while our integrative approach enables us to confirm the theory of preferential attachment in the process of network formation, the common neighbor theory is not supported. Our dual-dimensional network analysis allows us to observe the actual process of social network evolution rather than to make predictions based on the assumption of self-organizing networks.

Highlights

  • In an age of perpetual digital connectedness, our ways of bonding and maintaining relationships heavily depend on online social networking

  • The main goal of this study was to articulate the effects of online predictors with offline interaction for social tie formation

  • According to the outcomes of our study, social predictors from existing online networks can be used to predict network evolution through the conventional preferential attachment model, which relies on the degree centralities of network participants [19]

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Summary

Introduction

In an age of perpetual digital connectedness, our ways of bonding and maintaining relationships heavily depend on online social networking. More than one billion users around the world are actively networking through Facebook, one of the most prominent social networking services, to promote their online social existence and connections [1]. Social networking services (SNS) provide powerful tools for generating social capital, as they allow users to develop new connections and expand their personal networks [2]. Possessing a durable social network can provide network participants with otherwise unattainable resources, such as access to information, financial gains and psychological well-being [3,4,5].

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