arXiv subjects

Ayako Hashizume

Publications and source records attributed to Ayako Hashizume.

3 recordsLinked to original sources

arXiv2020

Independence of the Fundamental Equation of the Oscillation Model on Algebraic Representations: Social Media Echo Chamber Effect

In the oscillation model that describes the user dynamics of online social networks, it is known that the fundamental equation can explicitly describe the causal relationship between the network structure and user dynamics. The fundamental equation uses algebra that satisfies the anti-commutation relation, and its matrix representation is not unique. However, even if the matrix representations are different, the same results should be derived from different representations of the fundamental equation if they are describing the same phenomenon. In this paper, we confirm, using the echo-chamber effect as an example, that the fundamental equations of different matrix representations lead to the same result.

cs.SI↗

arXiv2020

Modeling of Online Echo-Chamber Effect Based on the Concept of Spontaneous Symmetry Breaking

The online echo-chamber effect is a phenomenon in which beliefs that are far from common sense are strengthened within relatively small communities formed within online social networks. Since it is significantly degrading social activities in the real world, we should understand how the echo-chamber effect arises in an engineering framework to realize countermeasure technologies. This paper proposes a model of the online echo-chamber effect by introducing the concept of spontaneous symmetry breaking to the oscillation model framework used for describing online user dynamics.

cs.SI↗

arXiv2020

Polarization Model of Online Social Networks Based on the Concept of Spontaneous Symmetry Breaking

The spread of information networks has not only made it easier for people to access a variety of information sources but also greatly enhanced the ability of individuals to disseminate information. Unfortunately, however, the problem of slander in online social networks shows that the evolving information network environment does not necessarily support mutual understanding in society. Since information with particular bias is distributed only to those communities that prefer it, the division of society into various opposing groups is strengthened. This phenomenon is called polarization. It is necessary to understand the mechanism of polarization to establish technologies that can counter polarization. This paper introduces a fundamental model for understanding polarization that is based on the concept of spontaneous symmetry breaking; our starting point is the oscillation model that describes user dynamics in online social networks.

cs.SI↗