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.

The use of environmental enrichment on farms benefits animal welfare and productivity

Livestock ◽  
2019 ◽  
Vol 24 (4) ◽  
pp. 183-188
Author(s):  
Sarah L Bolt ◽  
Adam J George
Keyword(s):  
Animal Welfare ◽  
Environmental Enrichment ◽  
Animal Health ◽  
Cost Effective ◽  
Animal Behaviour ◽  
Farm Animal ◽  
Farm Animals ◽  
Production Animals ◽  
On Farm ◽  
Housing Facilities

Environmental enrichment is a key aspect of animal welfare and productivity. Enrichment for livestock can be cost effective and used successfully on farm. The benefits generally outweigh any costs of providing enrichment and it should be taken into account when providing housing facilities for farm animals. It also reduces abnormal behaviours commonly seen in production animals, thus decreasing issues associated with poor animal health. The aim of this review is to summarise information and research that highlights the importance of understanding farm animal behaviour and indicates how enrichment will benefit the welfare and productivity of livestock.

scholarly journals Recent advances in the analysis of behavioural organization and interpretation as indicators of animal welfare

2009 ◽  
Vol 6 (41) ◽  
pp. 1103-1119 ◽  
Author(s):  
Lucy Asher ◽  
Lisa M. Collins ◽  
Angel Ortiz-Pelaez ◽  
Julian A. Drewe ◽  
Christine J. Nicol ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Animal Welfare ◽  
Life Sciences ◽  
Mathematical Methods ◽  
Abnormal Behaviour ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Potential Applications

While the incorporation of mathematical and engineering methods has greatly advanced in other areas of the life sciences, they have been under-utilized in the field of animal welfare. Exceptions are beginning to emerge and share a common motivation to quantify ‘hidden’ aspects in the structure of the behaviour of an individual, or group of animals. Such analyses have the potential to quantify behavioural markers of pain and stress and quantify abnormal behaviour objectively. This review seeks to explore the scope of such analytical methods as behavioural indicators of welfare. We outline four classes of analyses that can be used to quantify aspects of behavioural organization. The underlying principles, possible applications and limitations are described for: fractal analysis, temporal methods, social network analysis, and agent-based modelling and simulation. We hope to encourage further application of analyses of behavioural organization by highlighting potential applications in the assessment of animal welfare, and increasing awareness of the scope for the development of new mathematical methods in this area.

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 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.

Social network analysis of animal behaviour: a promising tool for the study of sociality

2008 ◽  
Vol 75 (2) ◽  
pp. 333-344 ◽  
Author(s):  
Tina Wey ◽  
Daniel T. Blumstein ◽  
Weiwei Shen ◽  
Ferenc Jordán
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Animal Behaviour ◽  
Promising Tool
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