Assessing the evolutionary structure of homeless network: Social media use, keywords, and influential stakeholders
Kyujin Jung and
Jesus N. Valero
Technological Forecasting and Social Change, 2016, vol. 110, issue C, 51-60
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.
Keywords: Homeless network; Evolutionary structure; Social media use; Influential stakeholders (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162515002243
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:110:y:2016:i:c:p:51-60
DOI: 10.1016/j.techfore.2015.07.015
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().