Polarization in networks: Identification–alienation framework
We introduce a model of polarization in networks as a unifying setting for the measurement of polarization that covers a wide range of applications. We consider a substantially general setup for this purpose: node- and edge-weighted, undirected, and connected networks. We generalize the axiomatic ch...
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| Veröffentlicht in: | Journal of mathematical economics 2022-10, Vol.102 (1), p.102732, Article 102732 |
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| container_title | Journal of mathematical economics |
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| creator | Huremović, Kenan Ozkes, Ali I. |
| description | We introduce a model of polarization in networks as a unifying setting for the measurement of polarization that covers a wide range of applications. We consider a substantially general setup for this purpose: node- and edge-weighted, undirected, and connected networks. We generalize the axiomatic characterization of Esteban and Ray (1994) and show that only a particular instance within this class can be used justifiably to measure polarization in networks. |
| doi_str_mv | 10.1016/j.jmateco.2022.102732 |
| format | Article |
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| ispartof | Journal of mathematical economics, 2022-10, Vol.102 (1), p.102732, Article 102732 |
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| language | eng |
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| source | Access via ScienceDirect (Elsevier) |
| subjects | Economics Economics and Finance Humanities and Social Sciences Mathematics Measurement Networks Neural networks Polarization |
| title | Polarization in networks: Identification–alienation framework |
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