IDEAS home Printed from https://ideas.repec.org/a/cog/socinc/v9y2021i4p375-387.html
   My bibliography  Save this article

When Spatial Dimension Matters: Comparing Personal Network Characteristics in Different Segregated Areas

Author

Listed:
  • Éva Huszti

    (Institute of Political Science and Sociology, Faculty of Humanities, University of Debrecen, Hungary)

  • Fruzsina Albert

    (Institute for Sociology, Centre for Social Sciences, Hungary / Institute of Mental Health, Semmelweis University, Hungary)

  • Adrienn Csizmady

    (Institute for Sociology, Centre for Social Sciences, Hungary / Department of Sociology, Faculty of Humanities and Social Sciences, University of Szeged, Hungary)

  • Ilona Nagy

    (Institute for Sociology, Centre for Social Sciences, Hungary)

  • Beáta Dávid

    (Institute for Sociology, Centre for Social Sciences, Hungary / Institute of Mental Health, Semmelweis University, Hungary)

Abstract

Living in segregated areas with concentrated neighbourhood poverty negatively affects the quality of life, including the availability of local jobs, access to services, and supportive social relationships. However, even with similar neighbourhood poverty levels, the degree and structure of spatial separation vary markedly between such areas. We expected that the level of spatial segregation aggravates the social exclusion of its inhabitants by negatively affecting their social capital. To test this hypothesis, we identified three low‐income neighbourhoods with high poverty rates (78%) in a medium‐sized town in Hungary, with different levels of integration in the city (based on characteristics such as the degree of spatial separation, infrastructure, and availability of services). The three neighbourhoods were located in two areas of differing degrees of integration in the fabric of the city: fully integrated, semi‐integrated (integrated into the surrounding residential area but isolated from the city), and non‐integrated. 69% of the 394 households in these areas were represented in our sample (one respondent per household). We interviewed respondents regarding the size and composition of their personal networks. Our results, which also distinguished between Roma and non‐Roma inhabitants, showed that those living in the spatially more integrated area not only have the largest and most diverse networks but seem to have a strong, “bonding‐based” cohesive community network as well. Even the non‐Roma who live there have ethnically heterogeneous—in other words—Roma network members. The disintegrated area, on the other hand, is characterised by both spatial and social isolation.

Suggested Citation

  • Éva Huszti & Fruzsina Albert & Adrienn Csizmady & Ilona Nagy & Beáta Dávid, 2021. "When Spatial Dimension Matters: Comparing Personal Network Characteristics in Different Segregated Areas," Social Inclusion, Cogitatio Press, vol. 9(4), pages 375-387.
  • Handle: RePEc:cog:socinc:v:9:y:2021:i:4:p:375-387
    as

    Download full text from publisher

    File URL: https://www.cogitatiopress.com/socialinclusion/article/view/4520
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gergő Tóth & Johannes Wachs & Riccardo Clemente & Ákos Jakobi & Bence Ságvári & János Kertész & Balázs Lengyel, 2021. "Inequality is rising where social network segregation interacts with urban topology," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Claire Bidart & Marion Maisonobe & Gil Viry, 2022. "Analysing Personal Networks in Geographical Space Beyond the Question of Distance," Social Inclusion, Cogitatio Press, vol. 10(3), pages 233-247.
    2. Miranda J. Lubbers, 2021. "In Good Company? Personal Relationships, Network Embeddedness, and Social Inclusion," Social Inclusion, Cogitatio Press, vol. 9(4), pages 203-210.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schulz, Jan & Mayerhoffer, Daniel M., 2021. "A network approach to consumption," BERG Working Paper Series 173, Bamberg University, Bamberg Economic Research Group.
    2. Sanghamitra Mukherjee, 2021. "A Framework to Measure Regional Disparities in Battery Electric Vehicle Diffusion in Ireland," Working Papers 202119, School of Economics, University College Dublin.
    3. Tanner Regan & Andreas Diemer & Cheng Keat Tang, 2023. "The Role of Social Connections in the Racial Segregation of US Cities," Working Papers 2023-05, The George Washington University, Institute for International Economic Policy.
    4. Wang, Xi & Pei, Tao & Song, Ci & Chen, Jie & Shu, Hua & Liu, Yaxi & Guo, Sihui & Chen, Xiao, 2023. "How does socioeconomic status influence social relations? A perspective from mobile phone data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    5. Stark, Oded & Bielawski, Jakub & Falniowski, Fryderyk, 2023. "Measuring income inequality in social networks," Discussion Papers 338791, University of Bonn, Center for Development Research (ZEF).
    6. Kolkowski, Lukas & Cats, Oded & Dixit, Malvika & Verma, Trivik & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak Jarlebring, 2023. "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, Elsevier, vol. 110(C).
    7. Rüttenauer, Tobias, 2023. "Spatial Data Analysis," SocArXiv mq7te, Center for Open Science.
    8. Tobias Ruttenauer, 2024. "Spatial Data Analysis," Papers 2402.09895, arXiv.org.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cog:socinc:v:9:y:2021:i:4:p:375-387. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: António Vieira (email available below). General contact details of provider: https://www.cogitatiopress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.