Multiplex modeling of society

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Researchers

Research units

  • Central European University
  • Budapest University of Technology and Economics
  • RIKEN
  • Japan Science and Technology Agency
  • Asia Pacific Center for Theoretical Physics
  • Pohang University of Science and Technology

Abstract

The chapter “Multiplex Modeling of Society” discusses aspects of multiplexity in modeling society. Networks of social interactions are paradigmatic examples of multiplexity. It was recognized long ago by social scientists that the best way to interpret the network of different kinds of human relationships is a multiplex network, where each layer corresponds to a particular type of relationship, for example, between kin, friends, or co-workers. Until recently, only small social networks could be studied, due to the limited size of the datasets collected by traditional methods used in sociology. However, over the past 15 years, this situation has changed substantially due to the large scale of human sociality-related datasets becoming increasingly available. 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.

Details

Original languageEnglish
Title of host publicationMultiplex and Multilevel Networks
Publication statusPublished - 1 Jan 2018
MoE publication typeA3 Part of a book or another research book

    Research areas

  • Big Data, Granovetterian structure, Modeling, Multiplex network, Social network

ID: 32162520