Multi-layer weighted social network model

@article{Murase2014MultilayerWS,
  title={Multi-layer weighted social network model},
  author={Yohsuke Murase and J{\'a}nos T{\"o}r{\"o}k and Hang-Hyun Jo and Kimmo K. Kaski and J{\'a}nos Kert{\'e}sz},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2014},
  volume={90 5-1},
  pages={
          052810
        }
}
Recent empirical studies using large-scale data sets have validated the Granovetter hypothesis on the structure of the society in that there are strongly wired communities connected by weak ties. However, as interaction between individuals takes place in diverse contexts, these communities turn out to be overlapping. This implies that the society has a multilayered structure, where the layers represent the different contexts. To model this structure we begin with a single-layer weighted social… 

Figures from this paper

Emergence of Multiplex Communities in Collaboration Networks

This paper proposes a model to grow multiplex networks based on two mechanisms of intra and inter-layer triadic closure which mimic the real processes by which collaborations evolve and contributes to a better understanding of the principles driving the evolution of social networks.

Dynamical origins of the community structure of an online multi-layer society

The observed community size distributions are in good agreement with the predicted fragmentation in the model, which suggests that several detailed features of the fragmentation in societies can be traced back to the triadic closure processes.

Deep Learning Exploration of Agent-Based Social Network Model Parameters

This work focuses on studying a generalization of the weighted social network model, being one of the most fundamental agent-based models for describing the formation of social ties and social networks and believes that this methodology is applicable for a large class of complex network models, thus opening the way for more realistic quantitative agent- based modeling.

Structural transition in social networks: The role of homophily

We introduce a model for the formation of social networks, which takes into account the homophily or the tendency of individuals to associate and bond with similar others, and the mechanisms of

A growing social network model in geographical space

A new model for the generation of social networks that includes their often ignored spatial aspects, and it is numerically shown that for a given range of the combination parameter, and for given mean degree, the generated network class shares many important statistical features with those observed in actual social networks, including the spatial dependence of connections.

Stylized facts in social networks: Community-based static modeling

Modeling the Role of Relationship Fading and Breakup in Social Network Formation

By investigating distributions and relations of various network characteristics, it is found that the empirical findings are better reproduced with the link deletion model, indicating that link deletion plays a more prominent role in organizing social networks than link aging.

The structure and dynamics of multiplex networks

This thesis provides a mathematical framework to deal with multiplex networks and suggests metrics to unveil multiplexity from basic node, layer and edge properties to more complicated structure at the microand meso-scale, such as motifs, communities and cores.

Multiplex Modeling of the Society

This chapter sums up the “stylized facts” obtained from Big Data, shows how Granovetterian structure can be modeled in a multiplex setup, and discusses modeling channel selection to analyze the sampling bias introduced by single-channel data.

References

SHOWING 1-10 OF 21 REFERENCES

Social Network Analysis: Methods and Applications

This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of dyadic and triadic interaction models, which provide insights into the structure and dynamics of relationships between actors and groups.

Sociophysics: An Introduction

1. Introduction 2. Basic features of social systems and modelling 3. Opinion formation in a society 4. Social choices and popularity 5. Crowd avoiding dynamical phenomena 6. Social phenomena on

Personal and Ubiquitous Computing

This issue of Personal and Ubiquitous Computing presents a selection of papers dealing with various aspects of privacy and security, and suggests that user-centered pervasive environments will require new ways of looking at privacy andSecurity.

Proc. Nat. Acad. Sei

Am. J. Sociol

  • Am. J. Sociol
  • 1973

Science

  • Science
  • 2009

acknowledges financial supports by the Aalto University postdoctoral program. The systematic simulations in this study were assisted by OACIS

  • acknowledges financial supports by the Aalto University postdoctoral program. The systematic simulations in this study were assisted by OACIS

Physica A 361

  • 534
  • 2006

J. Complex Networks

  • J. Complex Networks
  • 2014

acknowledges the financial support of European Union and the European Social Fund through project FuturICT.hu (grant no.: TAMOP-4.2.2.C-11/1/KONV- 2012-0013)

  • J. K