Partner naming and forgetting: Recall of network members

Bell, David C.; Belli-Mcqueen, Benedetta; Haider, Ali

doi:10.1016/j.socnet.2006.12.004

Cited by 113 publications

(82 citation statements)

References 78 publications

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“…as stable structures forming the rules of the game). Second, problematic concerns regarding the reporting accuracy of sociometric questions are not as prominent when relations reflecting stronger links are analysed (Freeman et al 1987;Marsden 1990;Wasserman and Faust 1994;Bell et al 2007). Thus, the boundary of the network is empirically determined by the reciprocity condition.…”

Section: Data Collectionmentioning

confidence: 99%

The network structure of adaptive governance - A single case study of a fish management area

Sandström

Rova

2009

Int J Commons

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Abstract:The challenge of establishing adaptive management systems is a widely discussed topic in the literature on natural resource management. Adaptive management essentially focuses on achieving a governance process that is both sensitive to and has the capacity to continuously react to changes within the ecosystem being managed. The adoption of a network approach that perceives governance structures as social networks, searching for the kind of network features promoting this important feature, has been requested by researchers in the field. In particular, the possibilities associated with the application of a formal network approach, using the tools and concepts of social network analysis (SNA), have been identified as having significant potential for advancing this branch of research. This paper aims to address the relation between network structure and adaptability using an empirical approach. With the point of departure in a previously generated theoretical framework as well as related hypotheses, this paper presents a case study of a governance process within a fish management area in Sweden. The hypotheses state that, although higher levels of network density and centralisation promote the rule-forming process, the level of network heterogeneity is important for the existence and spread of ecological knowledge among the actors involved. According to the empirical results, restricted by the single-case study design, this assumption is still a well-working hypothesis. However, in order to advance our knowledge concerning these issues and test the validity of the hypotheses, more empirical work using a similar approach in multiple case study designs is needed.The network structure of adaptive governance 529 Acknowledgement: We gratefully acknowledge the Swedish Environmental Protection Agency and the Adaptive management program for founding part of this work. Thanks also to the anonymous reviewers for valuable comments.

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Section: Data Collectionmentioning

confidence: 99%

The network structure of adaptive governance - A single case study of a fish management area

Sandström

Rova

2009

Int J Commons

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“…The measurements do not provide a perfect picture of the respondent's recent interaction (Brewer, 2000;Bernard et al, 1982;Bell et al, 2007). Respondents are also not good in recalling specific interactions or interactions that took place within a specific time boundary.…”

Section: Introductionmentioning

confidence: 98%

Does the online collection of ego-centered network data reduce data quality? An experimental comparison

Matzat

Snijders

2010

Social Networks

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a b s t r a c tWe analyze whether differences in kind and quality of ego-centered network data are related to whether the data are collected online or offline. We report the results of two studies. In the first study respondents could choose between filling out ego-centered data through a web questionnaire and being probed about their network in a personalized interview. The second study used a design in which respondents were allocated at random to either online or offline data collection. Our results show that the data quality suffers from the online data collection and the findings indicate that this is the consequence of the respondents answering "mechanically". We conclude that network researchers should avoid to simply copy traditional network items into a web questionnaire. More research is needed about how new design elements specific for web questionnaires can motivate respondents to fill out network questions properly.

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“…30 If respondents underestimated the frequency and level of collaboration in the pre-coalition period or overestimated these factors in the current period, then we may have overestimated the improvement in collaborations in these analyses. In addition to social desirability, there are other extraneous factors that would lead us to overestimate the effect of the GS-HPC on the coalition network.…”

Section: Study Limitationsmentioning

confidence: 97%

“…[28][29] In social network analysis, time dependence (herein marked by joining the coalition network) is important for assisting in recall. 30 Adding behavioral specificity to the relationship being recalled, such as joining the coalition network, reduces forgetting. 29 Thus, it is likely that there is more accuracy in the data on the formation of relationships than in the specifics of the relationships, such as frequency and level of collaboration.…”

Section: Study Limitationsmentioning

confidence: 99%

The Value of Social Network Analysis for Evaluating Academic-Community Partnerships and Collaborations for Social Determinants of Health Research

Bright

Haynes

Patterson³

et al. 2017

Ethn Dis

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Objective: Community-based participatory research processes build healthy communities, as well as promote trust and genuine collaborative partnerships between stakeholders. Fostering relationships is essential to promoting these partnerships, which are necessary for collaborative, coordinated, and integrated efforts toward improving health outcomes in the community. The objective of our research was to demonstrate social network analysis as an evaluative tool to assess movement toward positive health outcomes through promoting relationships.Method: Using the example of the Gulf States Health Policy Center Coalition based at Bayou Clinic in Bayou La Batre, Alabama, we demonstrate the ability of social network analysis (SNA) methods to measure and map the formation of relationships, as well as the level and frequency of these relationships. Data were collected via email using a survey of Gulf States Health Policy Center Coalition members (N=80, 87%) and analyzed using UCInet software for social network analysis in April 2016.Results: In this application of SNA to the community coalition of the Gulf States Health Policy Center, we find that, on average, coalition members doubled their own network within the coalition in a time period of <2 years and were working together more often and more collaboratively than they were before the coalition formed.Conclusions: The increased frequency and level of collaboration among the Coalition network was accompanied by a higher level of collaboration among the coalition members as posited by social network and capital theories. As such, the community engagement fostered through the Coalition has increased and thus, to date, the Gulf States Health Policy Center has been effective in promoting partnerships and collaboration. Ethn Dis. 2017;27(Suppl 1):337-346; doi:10.18865/ed.27.S1.337.

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Partner naming and forgetting: Recall of network members

Cited by 113 publications

References 78 publications

The network structure of adaptive governance - A single case study of a fish management area

The network structure of adaptive governance - A single case study of a fish management area

Does the online collection of ego-centered network data reduce data quality? An experimental comparison

The Value of Social Network Analysis for Evaluating Academic-Community Partnerships and Collaborations for Social Determinants of Health Research

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