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Ichiro Fukuda

Publications and source records attributed to Ichiro Fukuda.

4 recordsLinked to original sources

Influence of Selective Exposure to Viewing Contents Diversity

Personalization, including both self-selected and pre-selected, is inevitable when tremendous amounts of media content are available. Personalization, which is believed to cause people to consume fewer diverse contents, can lead to fragmentation and polarization in society. Therefore, it is important to investigate the diversity of consumed contents over time. In this paper, first, we propose a framework to measure and analyze how the diversity of the consumed contents of users changes over time. In our framework, we introduce a new metric to measure content diversity based on our redefinition of diversity. Then, we investigate the relationship between selective exposure and content diversity changes using our framework and examine what factors encourage people to consume contents that are more diverse. We find that people autonomously consume more diverse contents from a macro-perspective without an external influence, suggesting that people are less likely to be fragmented and polarized, although from a micro-perspective they consume limited contents. We also obtain evidence that users who consume highly ambiguous contents tend to increase the diversity of their consumed contents.

cs.CY

Limitations of Time Resources in Human Relationships Determine Social Structures

A single human can be involved in a limited number of social relationships, and the distribution of strengths of such relationships shows significant skew. This skewness suggests that the costs and benefits of the social interactions required to bond with others (social grooming) depend on the social relationship strength: if they involved uniform costs and benefits, the distribution would not be skew. Here, we show that the cost of social grooming increases with the social relationship strength, and its gradient determines the structures of these relationships in society as evident from an analysis of data from six communication systems. This may be due to an increase in communication volumes, such as number of characters and duration of calls, along with an increase in the social relationship strength. We tested this hypothesis using an individual-based simulation where social grooming costs were assumed to increase linearly with the social relationship strength; this is the simplest assumption. The results indicated that this model fitted all data sets, i.e., it showed an explanation capacity for the phenomenon. Additionally, an analysis of this simulation suggested that the gradient of social grooming costs increases the width and shallowness of social relationships in its communication system.

cs.SI

Reciprocal Altruism-based Cooperation in a Social Network Game

Cooperative behaviors are common in humans and are fundamental to our society. Theoretical and experimental studies have modeled environments in which the behaviors of humans, or agents, have been restricted to analyze their social behavior. However, it is important that such studies are generalized to less restrictive environments to understand human society. Social network games (SNGs) provide a particularly powerful tool for the quantitative study of human behavior. In SNGs, numerous players can behave more freely than in the environments used in previous studies; moreover, their relationships include apparent conflicts of interest and every action can be recorded. We focused on reciprocal altruism, one of the mechanisms that generate cooperative behavior. This study aims to investigate cooperative behavior based on reciprocal altruism in a less restrictive environment. For this purpose, we analyzed the social behavior underlying such cooperative behavior in an SNG. We focused on a game scenario in which the relationship between the players was similar to that in the Leader game. We defined cooperative behaviors by constructing a payoff matrix in the scenario. The results showed that players maintained cooperative behavior based on reciprocal altruism, and cooperators received more advantages than noncooperators. We found that players constructed reciprocal relationships based on two types of interactions, cooperative behavior and unproductive communication.

cs.SI

Lightweight Interactions for Reciprocal Cooperation in a Social Network Game

The construction of reciprocal relationships requires cooperative interactions during the initial meetings. However, cooperative behavior with strangers is risky because the strangers may be exploiters. In this study, we show that people increase the likelihood of cooperativeness of strangers by using lightweight non-risky interactions in risky situations based on the analysis of a social network game (SNG). They can construct reciprocal relationships in this manner. The interactions involve low-cost signaling because they are not generated at any cost to the senders and recipients. Theoretical studies show that low-cost signals are not guaranteed to be reliable because the low-cost signals from senders can lie at any time. However, people used low-cost signals to construct reciprocal relationships in an SNG, which suggests the existence of mechanisms for generating reliable, low-cost signals in human evolution.

physics.soc-ph