The Associations between Social Networks, Sense of Community, and Co-Location Among Healthcare Policy Scientists
Kabo F. The Associations between Social Networks, Sense of Community, and Co-Location Among Healthcare Policy Scientists. Oral presentation at 2017 SciTS Conference. Clearwater Beach, FL. Jun 13, 2017. Insights Through Network Analysis. Online at: http://www.scienceofteamscience.org/2017-agenda.
The goal of our exploratory study was to analyze the
association of social networks with sense of community
(SOC) and spatial co-location. Our study sample was
scientists at an institute for healthcare policy formed
in 2011 by bringing together scientists from more than
20 different university units. In 2012, around 40% of the
institute was co-located at a large research complex.
We administered a two-part survey in late 2014 to
the institute’s 390 scientists (125 co-located) plus 21
employees of non-university affiliates. Part 1 focused
on interactions with colleagues, and Part 2 focused on
socio-physical perceptions of the workplace. The overall
response rate was 39% (N=152) and 53% for co-located
scientists (N=66). We symmetrized the Part 1 item on
interaction frequency and generated a network that
was used to create three dependent variables (DVs):
degree or number of nodes directly connected to a
given individual; two-step reach or number of distinct
individuals within two steps of a specific individual; and
betweenness or how often a given individual falls on
the shortest paths between other pairs of individuals.
The independent variables (IVs) were a Part 2 item on
the sense of community (SOC) in an individual’s unit,
and co-location. For each DV we ran linear regressions
controlling for organizational affiliation. To account
for building layouts potentially impacting networks
or sense of community, we clustered the standard
errors by building. SOC was significantly correlated
with degree (β = 0.00862, p < .01) and betweenness
(β = 0.00206, p < .05). Co-located scientists had higher
degree (β = 0.0339, p < .01) and two-step reach (β
= 0.153, p < .001). Betweenness is only significantly
correlated with SOC implying that individuals can be
central in the institute’s network despite lack of colocation.
The study demonstrates associations between
spatial co-location, SOC, and social networks.
Type of Publication:
scits 2017 conference, presentation, social network, co-location, health care policy scientists
Addresses these goal(s):
- Conduct research on/evaluate team science
- Collaborate virtually
Resource created by Jane Hwang on 10/3/2017 5:39:12 PM.