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Assessing the evolutionary structure of homeless network: Social media use, keywords, and influential stakeholders

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  • Jung, Kyujin
  • Valero, Jesus N.

Abstract

This study seeks to understand how social media is used over time by a community network associated with the implementation of federal homeless policy in the U.S. In addition, this study explores the structure of the social media network that evolves over time. Drawing on previous social media and network research, longitudinal data from 2009 to 2013 was gathered from the Facebook page of a homeless network in the Dallas Metropolitan Area and the case was analyzed using social network analysis methods. Results indicate that the homeless network tends to use social media to raise awareness of homelessness issues, to market the homeless network, to solicit the help of stakeholders, and engage external stakeholders. In addition, the structure of the social media network tends to evolve into a set of reciprocal interactions among stakeholders.

Suggested Citation

  • Jung, Kyujin & Valero, Jesus N., 2016. "Assessing the evolutionary structure of homeless network: Social media use, keywords, and influential stakeholders," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 51-60.
    • Handle: RePEc:eee:tefoso:v:110:y:2016:i:c:p:51-60
    DOI: 10.1016/j.techfore.2015.07.015
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    References listed on IDEAS

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    1. In Cho, 2015. "Facebook discontinuance: discontinuance as a temporal settlement of the constant interplay between disturbance and coping," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1531-1548, July.
    2. Xanat Vargas Meza & Han Park, 2015. "Globalization of cultural products: a webometric analysis of Kpop in Spanish-speaking countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1345-1360, July.
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    Cited by:

    1. Jungwon Yeo & Claire Connolly Knox & Kyujin Jung, 2018. "Unveiling cultures in emergency response communication networks on social media: following the 2016 Louisiana floods," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 519-535, March.
    2. Young-Joo Lee & Ji-Young Park, 2018. "Identification of future signal based on the quantitative and qualitative text mining: a case study on ethical issues in artificial intelligence," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 653-667, March.
    3. Brian D. Williams & Jesus N. Valero & Kyungwoo Kim, 2018. "Social media, trust, and disaster: Does trust in public and nonprofit organizations explain social media use during a disaster?," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 537-550, March.

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