Abstract

AbstractMany aspects of online social networks (OSN) have been studied in recent years. In this article, we focus on the question of interactions in large OSN. We propose methods to study these interactions, and apply them on a platform called Nico Nico Douga (NND), with the aim of understanding cooperative behaviors, taking the form of collective creation of music videos in NND. Our first contribution is a method that, starting from the network of interactions between users, evaluates three aspects: the impact of the social structure on these interactions, their concentration, and their reciprocity. We characterize the nature of interactions in NND, and compare it with four different datasets. We find that interactions in NND are more similar to a diffusion process, such as retweets in Tweeter, than to interpersonal communications, or even to cooperation in science. Our second contribution is a typology of roles for productions in a cooperative process. These roles are attributed based on the neighborhood of the nodes in the network of references between productions. We define direct roles, relative roles, and indirect roles. We subsequently study the frequency of these roles in NND. We show a correlation between the category of the contribution of a video (song, animation, etc.) and its probability of having a certain role. We also find a positive correlation between the most active users and the production of videos playing an important role in the cooperation process.

Highlights

  • Online social networks (OSN) have attracted a lot of attention from scientists of many different fields

  • We computed the values of social structure impact, reciprocity impact, and concentration Impact on five interaction networks issued from four different datasets

  • We proposed two generic methods, using network properties, which can be applied to different datasets, to better understand and compare them

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Summary

Introduction

Online social networks (OSN) have attracted a lot of attention from scientists of many different fields. We focus on an OSN called Nico Nico Douga (NND, known as Niconico outside Japan), one of the most popular in Japan, which has already been studied in a few articles (Hamasaki et al 2008; Nakamura et al 2008; Cazabet et al 2012; Hamasaki et al 2009). This article focuses on the interactions between the constitutive elements of a social network: actors and published entities. We can find both of these elements in most social networks, sometimes with a focus on actors (such as in Facebook), and sometimes on the content (Wikipedia for instance).

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Nico Nico Douga network
Categories of videos
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Structure of the interactions
Comparing frequency distributions
Computation of the metrics
Generation of the null model
Distribution of reciprocal messages
Computation of the distributions of multiple interactions
Computation of the social structure impact
Computation of the reciprocity impact
Distribution of received messages
Interpretation of the metrics
Validation using a generative model
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Analysis of results
Description of analyzed networks
Interpretation of results
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Classification of the interactions in NND
Applications
Roles in the cooperation process
Direct roles
Relative roles
Indirect roles
Demography of direct roles
Demography of indirect roles
Generalization to other types of cooperation
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Creators and roles of videos
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Conclusion
Findings
On the webpage of the first author

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