Walking the dog: exploration of the contact networks between dogs in a community

2008 ◽  
Vol 137 (8) ◽  
pp. 1169-1178 ◽  
Author(s):  
C. WESTGARTH ◽  
R. M. GASKELL ◽  
G. L. PINCHBECK ◽  
J. W. S. BRADSHAW ◽  
S. DAWSON ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Space ◽  
Contact Networks ◽  
Minimum Path ◽  
Potential Contact ◽  
High Connectivity ◽  
Path Lengths ◽  
High Level

SUMMARYThis study uses social network analysis to investigate potential contact among 214 dog-owning households in a UK community through their utilization of public space during walking. We identified a high level of potential contact between dog-owning households; most households walked their dogs in only a few areas but a small number visited many. Highly connected households were more likely to have multiple dogs, walk their dogs off lead, and own Working, Pastoral or some Terrier types. Similarly, most areas were only visited by a few households but a few were visited by many. Despite identification of subgroups of households and locations, we demonstrated high connectivity between dog-owning households, with minimum path lengths of two ‘steps’ (household–area–household, 74%) or four ‘steps’ (via two areas, 26%).

scholarly journals Nursing Students’ Subjective Happiness: A Social Network Analysis

2021 ◽  
Vol 18 (21) ◽  
pp. 11612
Author(s):  
Eun-Joo Kim ◽  
Ji-Young Lim ◽  
Geun-Myun Kim ◽  
Seong-Kwang Kim
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Nursing Students ◽  
Network Analysis ◽  
Group Dynamics ◽  
Future Research ◽  
Subjective Happiness ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
High Level

Improving nursing students’ subjective happiness is germane for efficiency in the nursing profession. This study examined the subjective happiness of nursing students by applying social network analysis (SNA) and developing a strategy to improve the subjective happiness of nursing. The study adopted a cross sectional survey to measure subjective happiness and social network of 222 nursing students. The results revealed that the centralization index, which is a measure of intragroup interactions from the perspective of an entire network, was higher in the senior year compared with the junior year. Additionally, the indegree, outdegree, and centrality of the social network of students with a high level of subjective happiness were all found to be high. This result suggests that subjective happiness is not just an individual’s psychological perception, but can also be expressed more deeply depending on the subject’s social relationships. Based on the study’s results, to strengthen self-efficacy and resilience, it is necessary to utilize strategies that activate group dynamics, such as team activities, to improve subjective happiness. The findings can serve as basic data for future research focused on improving nursing students’ subjective happiness by consolidating team-learning social networks through a standardized program approach within a curriculum or extracurricular programs.

scholarly journals Characterizing Stakeholders of Aging-in-Place through Social Network Analysis: A Study of Nanjing, China

2019 ◽  
Vol 11 (23) ◽  
pp. 6722
Author(s):  
Shenghua Zhou ◽  
S. Thomas Ng ◽  
Dezhi Li ◽  
Jiankun Zhang ◽  
Jie Fan ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Wide Spectrum ◽  
Aging In Place ◽  
Policy Implications ◽  
Third Party ◽  
Pilot Programs ◽  
Excess Power ◽  
High Level

China currently has an elderly population of 249 million with over 97% of them ending up aging in place. Although various regional pilot programs have been conducted, a sustainable aging-in-place system has not been established to effectively and efficiently provide aging services in many cities of China. The characteristics of stakeholder networks in the aging-in-place systems have not attracted great attention from researchers. This research applies social network analysis to characterize the interactions of stakeholders in aging-in-place systems to facilitate cooperation and coordination amongst them. Using Nanjing as a case study, 23 stakeholders in Nanjing’s aging-in-place system are identified, such as the Aging Affairs Committee, Aging-in-Place Service Association, and aging-in-place service centers; and then the relationship networks of these stakeholders in terms of communication, supervision, and trust are developed and analyzed. The results show that the aging-in-place system suffers from certain defects, including the loose connection of government departments, redundant information channels, low trustworthiness of certain aging-in-place service centers, poor credibility of third-party training and assessment institutions, and excess power of the industry association. To tackle these issues, a wide spectrum of actionable measures applicable to Nanjing’s conditions, as well as high-level policy implications for other cities of China, are proposed for augmenting the communication, supervision, and trust among stakeholder groups.

scholarly journals Inter-player variability in game patterns in high-level women's volleyball: A study with Outside Hitters (Near vs. Away) using Social Network Analysis. [Variabilidad entre jugadores en los patrones de juego en el voleibol femenino de alto nivel: Un estudio con bateadores externos (Cerca versus Lejos) usando Análisis de Redes Sociales].

2021 ◽  
Vol 17 (65) ◽  
pp. 234-250
Author(s):  
João Bernardo Martins ◽  
◽  
Isabel Mesquita ◽  
Ademilson Mendes ◽  
Letícia Santos ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Team Sports ◽  
Eigenvector Centrality ◽  
Redes Sociales ◽  
Functional Roles ◽  
High Level ◽  
Women's Volleyball ◽  
After Error

A wide body of research on team sports has focused on positional status based differences, providing information on inter-player variability according to the functional roles within the game. However, research addressing inter-player variability within the same positional/function status is scarce. The present article presents an analysis of inter-player variability within the same positional status during critical moments, in high-level women's volleyball, using Social Network Analysis. Attack actions of the outside hitters near (OHN) and away (OHA) from the setter were analysed in ten matches from the 2019 Volleyball Nations League Finals (268 plays). Two independent Eigenvector Centrality networks were created, one for OHN and another for OHA. Main results: (a) in side-out with ideal setting conditions, the OHA used more tips and exploration of the block than the OHN; under non-ideal setting conditions, the OHN had slower attack tempos than the OHA; (b) OHA used tip and directed attacks after error situations while OHN was typically not requested after error situations; (c) in transition, OHN typically attacked after having performed a previous action, performing a dual task within each ball possession, while OHA only attacked when there was no prior action; (d) there were also inter-positional similarities, with both OHN and OHA preferring a strong attack in ideal conditions during KI and KIV, and slower tempos in transition in non-ideal conditions. Conclusions: Even within the same positional status, there seems to be subtle, but relevant inter-player variability. Consequently, coaches should devote careful attention when assigning players to positional.

scholarly journals Stakeholder Analysis and Social Network Analysis in the Decision-Making of Industrial Land Redevelopment in China: The Case of Shanghai

2020 ◽  
Vol 17 (24) ◽  
pp. 9206
Author(s):  
Wendong Wu ◽  
Fang He ◽  
Taozhi Zhuang ◽  
Yuan Yi
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Public Space ◽  
Large Scale ◽  
Social Issues ◽  
Stakeholder Analysis ◽  
Industrial Land ◽  
Land Redevelopment

Currently, many large Chinese cities have entered the postindustrial era, leaving a large amount of vacant, inefficiently utilized industrial land and buildings in the inner cities. Industrial land redevelopment (ILR) can benefit cities in multiple ways, such as by increasing urban public space, improving the quality of life of citizens, and improving the environment, and is considered an effective approach to enhance people’s wellbeing. However, large-scale ILR projects often raise a series of social issues in practice, such as injustice and inequality. To address complex urban issues, ILR requires multifaceted, coordinated, and comprehensive strategies involving multitudinous stakeholders. A profound understanding of diverse stakeholders in the decision-making of ILR is a vital step in enhancing the sustainability of ILR. The aim of this paper is to use Shanghai as a case study to understand the diverse stakeholders and their participation during the decision-making of ILR in China. Interviews and questionnaires were used to collect data. Stakeholder analysis (SA) and social network analysis (SNA) were used as complementary research methodologies in this paper. First, stakeholders who participated in the decision-making of ILR were identified. Then, the characteristics of various stakeholders, including power, interests, and knowledge, were analyzed. Following this, the interactive relationships among stakeholders were explored, and their network structure was examined. Finally, policy recommendations were presented regarding stakeholder participation problems in the decision-making of ILR in China.

scholarly journals New Media and Nationalism in Indonesia: An Analysis of Discursive Nationalism in Online News and Social Media after the 2019 Indonesian Presidential Election

2021 ◽  
Vol 37 (2) ◽  
pp. 289-304
Author(s):  
Didik Haryadi Santoso ◽  
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
New Media ◽  
Presidential Election ◽  
Time Frame ◽  
Online News ◽  
Physical Interaction ◽  
High Level

Nationalism is an issue that is often contested in a political rally in various countries. Nationalism is generally used to describe two phenomena: first, the attitude of members of the nation when they care about their national identity. Second, it can be defined as any action performed by members of the nation to sustain their self-determination or political sovereignty. In the era of conventional media, nationalism was created from the dynamics of physical interaction, human to human. However, in the new media era, nationalism has turned into "human to technology to human". This leads to a dynamic that never happened before. To capture this, online news and social media data were captured using the SNA (Social Network Analysis) method, in collaboration with astramaya.id that saw 19 online news items listed. Data were also collected from Facebook (3,376 mentions), Instagram (3,417 mentions), Twitter (160,432 mentions), and YouTube (1,699 mentions). The time frame, July 2019 to July 2020, takes into account the high level of discussion on nationalism after the presidential election and Covid-19. This research found that: first, Indonesia’s Nationalism has divided into two caps; second, a non-human social media account gives a significant contribution to these cleavages; third, primordial sentiments take determining effect for every actor in generating cleavage. Keywords: Nationalism, online news, social media, social network analysis, Indonesia.

Using Social Network Analysis to Understand Trust, Reciprocity, and Togetherness in Wildlife Tourism Microentrepreneurship

2019 ◽  
Vol 43 (8) ◽  
pp. 1176-1198 ◽  
Author(s):  
Birendra KC ◽  
Duarte B. Morais ◽  
Jordan W. Smith ◽  
M. N. Peterson ◽  
Erin Seekamp
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Qualitative Assessment ◽  
Structured Interviews ◽  
Linear Network ◽  
Network Characteristics ◽  
Network Autocorrelation ◽  
Wildlife Tourism ◽  
High Level

High levels of trust, reciprocity, and togetherness embedded within entrepreneurial networks are believed to facilitate cooperation that enables success among individual business owners. This study examines the effects of social influence, network characteristics, and entrepreneurial motivations on trust, reciprocity, and togetherness in a network of wildlife tourism microentrepreneurs. Thirty-seven wildlife tourism microentrepreneurs from North Carolina’s Pamlico Sound Region were recruited for in-person structured interviews. Data were analyzed using social network analysis, specifically a series of linear network autocorrelation models in conjunction with supportive qualitative assessment. Microentrepreneurs expressing a high level of trust were connected with microentrepreneurs expressing a low level of trust in their peers. Conversely, microentrepreneurs with strong feelings of reciprocity were connected with microentrepreneurs having similar feelings. These findings illustrate that the presence of equally reciprocal relationships is not an indication of equally trusting relationships. The findings also suggest that higher numbers of business ties tend to diminish the levels of trust, reciprocity, and togetherness toward connected peers.

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