Impact of methods for reducing respondent burden on personal network structural measures

McCarty, Christopher; Killworth, Peter D.; Rennell, James

doi:10.1016/j.socnet.2006.12.005

Cited by 244 publications

(149 citation statements)

References 40 publications

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“…The process of collecting ego network data poses a significant recall burden, and time constraints during the interviews may have resulted in omitted social ties, a common challenge in network studies (McCarty et al 2007). Another caveat is that network structures and processes are dynamic and nearly always imperfect.…”

Section: Discussionmentioning

confidence: 99%

Variations in the Social Networks of Forest Owners: The Effect of Management Activity, Resource Professionals, and Ownership Size

Ruseva

Evans

Fischer

2014

Small-scale Forestry

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Social networks play an important role in the communication of information among forest owners and how owners process that information in making land management decisions. This article examines variations in the social network characteristics of family forest owners using survey data and interviews with 42 owners in south-central Indiana. We examine how network structure and content vary by harvesting activity, information sources, ownership attributes, sociodemographic characteristics, and location. Quantitative measures of network size and diversity, along with a qualitative understanding of network content and function are discussed and compared for active and passive forest managers. We find that active managers (people who had a recent timber harvest) had at least twice as many social ties related to forest management compared to passive managers, particularly after accounting for parcel ownership size, forest area, and total landholding size. Learning and service were the main functions of these networks, with learning being the most frequently cited reason for talking to others regardless of the management profile of forest owners. The study contributes to a growing interest in mixed methods approaches to network studies and research on social networks in private forestry. Abstract Social networks play an important role in the communication of information among forest owners and how owners process that information in making land management decisions. This article examines variations in the social network characteristics of family forest owners using survey data and interviews with 42 owners in south-central Indiana. We examine how network structure and content vary by harvesting activity, information sources, ownership attributes, sociodemographic characteristics, and location. Quantitative measures of network size and diversity, along with a qualitative understanding of network content and function are discussed and compared for active and passive forest managers. We find that active managers (people who had a recent timber harvest) had at least twice as many social ties related to forest management compared to passive managers, particularly after accounting for parcel ownership size, forest area, and total landholding size. Learning and service were the main functions of these networks, with learning being the most frequently cited reason for talking to others regardless of the management profile of forest owners. The study contributes to a growing interest in mixed-

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Section: Discussionmentioning

confidence: 99%

Variations in the Social Networks of Forest Owners: The Effect of Management Activity, Resource Professionals, and Ownership Size

Ruseva

Evans

Fischer

2014

Small-scale Forestry

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“…However, many dynamic studies do not collect data on network structure due to respondent burden (McCarty & Killworth, 2007).…”

Section: Longitudinal Analysis Of Personal Networkmentioning

confidence: 99%

Longitudinal analysis of personal networks. The case of Argentinean migrants in Spain

et al. 2010

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This paper discusses and illustrates various approaches for the longitudinal analysis of personal networks (multilevel analysis, regression analysis, and SIENA). We combined the different types of analyses in a study of the changing personal networks of immigrants. Data were obtained from 25 Argentineans in Spain, who were interviewed twice in a two-year interval. Qualitative interviews were used to estimate the amount of measurement error and to isolate important predictors. Quantitative analyses showed that the persistence of ties was explained by tie strength, network density, and alters' country of origin and residence. Furthermore, transitivity appeared to be an important tendency, both for acquiring new contacts and for the relationships among alters. At the network level, immigrants' networks were remarkably stable in composition and structure despite the high turnover. Clustered graphs have been used to illustrate the results. The results are discussed in light of adaptation to the host society.

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“…Social networks are typically analyzed by looking at their structure, that is, relationships between respondents and network members or "alters," and composition, that is, attributes of the respondents (McCarty et al 2007). In their work on adaptive management of natural resources, analyzed network structure by focusing on "degree centrality" and "betweenness."…”

Section: Social Network and Resiliencementioning

confidence: 99%

Understanding Household Connectivity and Resilience in Marginal Rural Communities through Social Network Analysis in the Village of Habu, Botswana

Cassidy¹,

Barnes²

2012

E&S

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ABSTRACT. Adaptability is emerging as a key issue not only in the climate change debate but in the general area of sustainable development. In this context, we examine the link between household resilience and connectivity in a rural community in Botswana. We see resilience and vulnerability as the positive and negative dimensions of adaptability. Poor, marginal rural communities confronted with the vagaries of climate change, will need to become more resilient if they are to survive and thrive. We define resilience as the capacity of a social-ecological system to cope with shocks such as droughts or economic crises without changing its fundamental identity. We make use of three different indices of household resilience: livelihood diversity, wealth, and a comprehensive resilience index based on a combination of human, financial, physical, social, and natural capital. Then, we measure the social connectivity of households through a whole network approach in social network analysis, using two measures of network centrality (degree centrality and betweenness). We hypothesize that households with greater social connectivity have greater resilience, and analyze a community in rural Botswana to uncover how different households make use of social networks to deal with shocks such as human illness and death, crop damage, and livestock disease. We surveyed the entire community of Habu using a structured questionnaire that focused on livelihood strategies and social networks. We found that gender, age of household head, and household size were positively correlated with social connectivity. Our analysis indicates that those households that are more socially networked are likely to have a wider range of livelihood strategies, greater levels of other forms of social capital, and greater overall capital. Therefore, they are more resilient.

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Impact of methods for reducing respondent burden on personal network structural measures

Cited by 244 publications

References 40 publications

Variations in the Social Networks of Forest Owners: The Effect of Management Activity, Resource Professionals, and Ownership Size

Variations in the Social Networks of Forest Owners: The Effect of Management Activity, Resource Professionals, and Ownership Size

Longitudinal analysis of personal networks. The case of Argentinean migrants in Spain

Understanding Household Connectivity and Resilience in Marginal Rural Communities through Social Network Analysis in the Village of Habu, Botswana

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