scholarly journals Interviewer-driven Variability in Social Network Reporting

Field Methods ◽  
2018 ◽  
Vol 30 (2) ◽  
pp. 140-154 ◽  
Author(s):  
Guy Harling ◽  
Jessica M. Perkins ◽  
Francesc Xavier Gómez-Olivé ◽  
Katherine Morris ◽  
Ryan G. Wagner ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Population Based ◽  
Interviewer Effects ◽  
Egocentric Network ◽  
Single Data ◽  
Interviewer Behaviors ◽  
Rural South Africa

Social network analysis depends on how social ties to others are elicited during interviews, a process easily affected by respondent and interviewer behaviors. We investigate how the number of self-reported important social contacts varied within a single data collection round. Our data come from Health and Aging in Africa: a Longitudinal Study of an INDEPTH community (HAALSI), a comprehensive population-based survey of individuals aged 40 years and older conducted over 13 months at the Agincourt health and demographic surveillance site in rural South Africa. As part of HAALSI, interviewers elicited detailed egocentric network data. The average number of contacts reported by the 5,059 respondents both varied significantly across interviewers and fell over time as the data collection progressed, even after adjusting for respondent, interviewer, and respondent–interviewer dyad characteristics. Contact numbers rose substantially after a targeted interviewer intervention. We conclude that checking (and adjusting) for interviewer effects, even within one data collection round, is critical to valid and reliable social network analysis.

scholarly journals A SYSTEMATIC LITERATURE REVIEW OF SOCIAL NETWORK ANALYSIS IN TOURISM FLOWS

2021 ◽  
Vol 6 (26) ◽  
pp. 143-154
Author(s):  
Pei Yee Tan ◽  
Hairul Nizam Ismail ◽  
Syed Muhammad Rafy Syed Jaafar
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Literature Review ◽  
Future Research ◽  
The Past ◽  
Behavioural Patterns ◽  
Meta Analyses ◽  
Tourism Flows

As the growing research interest and discussion on social network analysis associated with tourism flows, this paper reviewed 31 studies focused on tourism flows with social network analysis in the past ten years. To ensure the accuracy of the literature review, a systematic quantitative literature review with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), together with descriptive and content analyses, was used to synthesise these past studies. With that, this review aims to (1) identify the overall research trends of social network analysis in tourism flows studies, (2) types and methods of data collection used, as well as (3) future research opportunities. The review findings present an interesting result with the past studies mostly focusing on examining tourist movement, tourism destination management, and tourist behavioural patterns. Furthermore, this review also provides significant findings on emerging data collection methods, like big data, in tourism research. To sum up, this paper offers an insight into social network analysis in tourism flows, primarily on the state of knowledge, methodological understanding, and future research gaps.

scholarly journals Social Network Analysis in Farm Animals: Sensor-Based Approaches

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 434
Author(s):  
Suresh Neethirajan ◽  
Bas Kemp
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Animal Welfare ◽  
Farm Management ◽  
Animal Behaviour ◽  
Farm Animal ◽  
Farm Animals ◽  
Management Processes

Natural social systems within animal groups are an essential aspect of agricultural optimization and livestock management strategy. Assessing elements of animal behaviour under domesticated conditions in comparison to natural behaviours found in wild settings has the potential to address issues of animal welfare effectively, such as focusing on reproduction and production success. This review discusses and evaluates to what extent social network analysis (SNA) can be incorporated with sensor-based data collection methods, and what impact the results may have concerning welfare assessment and future farm management processes. The effectiveness and critical features of automated sensor-based technologies deployed in farms include tools for measuring animal social group interactions and the monitoring and recording of farm animal behaviour using SNA. Comparative analyses between the quality of sensor-collected data and traditional observational methods provide an enhanced understanding of the behavioural dynamics of farm animals. The effectiveness of sensor-based approaches in data collection for farm animal behaviour measurement offers unique opportunities for social network research. Sensor-enabled data in livestock SNA addresses the biological aspects of animal behaviour via remote real-time data collection, and the results both directly and indirectly influence welfare assessments, and farm management processes. Finally, we conclude with potential implications of SNA on modern animal farming for improvement of animal welfare.

scholarly journals Implementation of an interprofessional collaboration in practice program: a feasibility study using social network analysis

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Linda C. Smit ◽  
Jeroen Dikken ◽  
Nienke M. Moolenaar ◽  
Marieke J. Schuurmans ◽  
Niek J. de Wit ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Older People ◽  
Primary Healthcare ◽  
Healthcare Professionals ◽  
Interprofessional Collaboration ◽  
Network Development ◽  
Knowledge And Skills

Abstract Background Due to multimorbidity and geriatric problems, older people often require both psychosocial and medical care. Collaboration between medical and social professionals is a prerequisite to deliver high-quality care for community-living older people. Effective, safe, and person-centered care relies on skilled interprofessional collaboration and practice. Little is known about interprofessional education to increase interprofessional collaboration in practice (IPCP) in the context of community care for older people. This study examines the feasibility of the implementation of an IPCP program in three community districts and determines its potential to increase interprofessional collaboration between primary healthcare professionals caring for older people. Method A feasibility study was conducted to determine the acceptability and feasibility of data collection and analysis regarding interprofessional collaboration in network development. A questionnaire was used to measure the learning experience and the acquisition of knowledge and skills regarding the program. Network development was assessed by distributing a social network survey among professionals attending the program as well as professionals not attending the program at baseline and 5.5 months after. Network development was determined by calculating the number, reciprocity, value, and diversity of contacts between professionals using social network analysis. Results The IPCP program was found to be instructive and the knowledge and skills gained were applicable in practice. Social network analysis was feasible to conduct and revealed a spill-over effect regarding network development. Program participants, as well as non-program participants, had larger, more reciprocal, and more diverse interprofessional networks than they did before the program. Conclusions This study showed the feasibility of implementing an IPCP program in terms of acceptability, feasibility of data collection, and social network analysis to measure network development, and indicated potential to increase interprofessional collaboration between primary healthcare professionals. Both program participants and non-program participants developed a larger, more collaborative, and diverse interprofessional network.

Measuring Social Interaction of the Urban Elderly: A Methodological Synthesis

1981 ◽  
Vol 13 (3) ◽  
pp. 233-244 ◽  
Author(s):  
Jay Sokolovsky ◽  
Carl I. Cohen
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Inner City ◽  
Urban Elderly ◽  
Meaningful Information ◽  
Single Room ◽  
Sociological Approaches

In general, the gerontological literature has characterized the inner-city elderly, especially those aged residing in single room occupancy hotels, as “isolates” or “loners.” However, it is proposed that the notion of isolation is largely a myth and that many studies have been hampered by inadequate research instruments. This paper illustrates: 1) The severe limitations of the traditional measures of determining sociability; 2) How social network analysis can overcome many of the deficiencies of other methods; and 3) How a synthesis of the anthropological and sociological approaches to network analysis can optimize data collection and provide culturally meaningful information.

Humans, Plants, and Networks

2016 ◽  
Vol 7 (1) ◽  
pp. 107-128 ◽  
Author(s):  
Laura Calvet-Mir ◽  
Matthieu Salpeteur
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Data Collection ◽  
Social Relationships ◽  
Social Relations ◽  
Local Ecological Knowledge ◽  
Ecological Knowledge ◽  
Longitudinal Data Collection

ABSTRACTIn recent years, Social Network Analysis (SNA) has increasingly been applied to the study of complex human-plant relations. This quantitative approach has enabled a better understanding of (1) how social networks help explain agrobiodiversity management, and (2) how social relations influence the transmission of local ecological knowledge (LEK) related to plants. In this paper, we critically review the most recent works pertaining to these two lines of research. First, our results show that this fast-developing literature proposes new insights on local agrobiodiversity management mechanisms, as well as on the ways seed exchange systems are articulated around other social relationships, such as kinship. Second, current works show that inter-individual connections affect LEK transmission, the position of individuals in networks being related to the LEK they hold. We conclude by stressing the importance of combining this method with comprehensive approaches and longitudinal data collection to develop deeper insights into human-plant relations.

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