This article examines service coordination patterns across various service areas in Albany, the capital city of the New York State. Based on 42 in-person interviews with executive directors at various human service agencies, inter-organizational network was constructed and analyzed. The network displayed sparse and multipolar connectivity, suggesting that organizations operate in silos, with few organizations holding key positions of structural importance in the network architecture (so-called “super-connectors”). In addition, content analysis drew qualitative insights into perceived challenges to coordinate services. Several factors, both external (e.g., lack of trust or centralized communication system) and internal (e.g., lack of resources or knowledge) might have contributed to the observed structural properties. This finding suggests further examining the role of super-connectors in future research to better understand why these hubs exist and how they can work with other organizations in a cooperative and mutually beneficial manner.
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Web and society: a first look into the network of human service providers
Human service organizations (HSOs) operate in an environment considered to be prohibitive of collaboration. To understand how HSOs come together to address the grand challenges associated with meeting human needs, we attempted to automatically construct the network of HSOs based on the information publicly available through each organization's website-the medium that people use to find relevant information to access services. Our analysis of the the complex system of relationships among HSOs in Albany, New York suggests that the network of HSOs in this area exhibits a multipolar structure with few super connectors, and strong relations between organizations that serve similar functions. We quantitatively evaluate the quality of the constructed HSOs' network from Web data based on structured, in-person interviews we conducted with HSOs.
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- Award ID(s):
- 1737443
- PAR ID:
- 10196227
- Date Published:
- Journal Name:
- 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
- Page Range / eLocation ID:
- 1056 to 1063
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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