scholarly journals Stakeholder-Associated Risks and Their Interactions in PPP Projects: Social Network Analysis of a Water Purification and Sewage Treatment Project in China

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Mingzhu Yang ◽  
Haitao Chen ◽  
Yongshun Xu
Keyword(s):  
Risk Factors ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Local Governments ◽  
Risk Sharing ◽  
Sewage Treatment ◽  
Project Managers ◽  
Individual Level ◽  
The Individual

As a result of complex contractual relationships, multiple stakeholders with different interests are involved in public-private partnership (PPP) projects. Compared to traditional models, PPP projects have more uncertainty. This study integrated stakeholders and risk factors in PPP projects from a network perspective to better determine how to control risks. Using social network analysis (SNA), a case study was conducted to identify the critical risk factors, and mitigation actions are proposed. The results indicated that, compared to other stakeholders, local governments play the most important role in PPP projects. Managers should therefore pay more attention to political and legal risk factors and develop reasonable risk-sharing plans. This study expands PPP risk research from the individual level to the network level and provides a visualized, innovative research paradigm for PPP risk analysis. The results can also be used by project managers for decision-making, risk management, and other processes, thus helping to achieve the sustainable management of PPP projects.

scholarly journals Toward a Stakeholder Perspective on Safety Risk Factors of Metro Construction: A Social Network Analysis

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Ying Lu ◽  
Yu Zhang
Keyword(s):  
Risk Factors ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Government Regulation ◽  
Rapid Development ◽  
Construction Site ◽  
Safety Risk ◽  
Stakeholder Perspective ◽  
Bad Weather

The rapid development of the metro has greatly relieved the traffic pressure on the urban ground system, but the frequency of metro construction accidents is also increasing year by year. Due to the complex construction process of the metro, once an accident occurs, casualties and property damage are extremely serious. The safety risk factors triggered by different stakeholders were the primary cause of accidents during the metro construction phase. This paper builts a social analysis network of safety risk factors in metro construction from a stakeholder’s perspective. Based on 42 accident cases and related literature, 6 stakeholders and 25 safety risk factors were identified and the relationships between stakeholders and safety risk factors were also determined. Through the application of social network analysis, a social network of safety risk factors in metro construction was constructed, and quantitative analysis was carried out based on density, degree centrality, betweenness centrality, and cohesive subgroup. The results showed that the key safety risk factors in the construction phase of the metro were in action of the contractor’s construction site managers, lack of safety protection at the construction site, insufficient detailed survey and design information provided by the designer, unfavorable government regulation, and bad weather. Moreover, the results of 20 cohesive subgroups illustrated the interrelationship between safety risk factors. S1H2 (“violations by operatives” related to contractor) and S1H4 (“lack of safety precautions” related to contractor) and S5H5 (“ineffective supervision” related to supervisor) both belonged to subgroup G1, which means that there is a high probability that these three safety risk factors would occur simultaneously. This paper provided a basis to improve the level of safety risk management and control from the stakeholder’s perspective.

scholarly journals Passing Network Analysis of Positional Attack Formations in Handball

2019 ◽  
Vol 70 (1) ◽  
pp. 209-221 ◽  
Author(s):  
Florian Korte ◽  
Martin Lames
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Suitable Method ◽  
Interaction Patterns ◽  
Optimal Position ◽  
Key Players ◽  
Sport Teams ◽  
The Individual ◽  
General Balance

Abstract The aim of this study was to characterize handball from a social network analysis perspective by analyzing 22 professional matches from the 2018 European Men's Handball Championship. Social network analysis has proven successful in the study of sports dynamics to investigate the interaction patterns of sport teams and the individual involvement of players. In handball, passing is crucial to establish an optimal position for throwing the ball into the goal of the opponent team. Moreover, different tactical formations are played during a game, often induced by two-minute suspensions or the addition of an offensive player replacing the goalkeeper as allowed by the International Handball Federation since 2016. Therefore, studying the interaction patterns of handball teams considering the different playing positions under various attack formations contributes to the tactical understanding of the sport. Degree and flow centrality as well as density and centralization values were computed. As a result, quantification of the contribution of individual players to the overall organization was achieved alongside the general balance in interplay. We identified the backcourt as the key players to structure interplay across tactical formations. While attack units without a goalkeeper were played longer, they were either more intensively structured around back positions (7 vs. 6) or spread out (5 + 1 vs. 6). We also found significant differences in the involvement of wing players across formations. The additional pivot in the 7 vs. 6 formation was mostly used to create space for back players and was less involved in interplay. Social network analysis turned out as a suitable method to govern and quantify team dynamics in handball.

scholarly journals Examining Inter-organizational Network During Emergency Response of Gunungkidul Drought 2019

2020 ◽  
Vol 4 (3) ◽  
pp. 224
Author(s):  
Agung Wicaksono
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Local Governments ◽  
Factors Affecting ◽  
Two Factors ◽  
Drought Disaster ◽  
And Control

Drought is a disaster that often occurs in Gunungkidul Regency, where the condition was exacerbated by the occurrence of a long drought in 2019 (BMKG, 2019). Beside climatic and geological factors, drought is also caused by the involvement of multi-stakeholders, including local governments in managing drought emergency conditions. This research presented a case study on drought disaster management in Gunungkidul in 2019, where qualitative and social network analysis research methods were applied. Social network analysis was used to examine the central actors of the organizations involved in drought management and the role of networks in these levels of government. Meanwhile, qualitative methods were used to explore the factors influencing the network. The results show that the central actors during the emergency response were BPBD, PMI, and PDAM of Gunungkidul Regency. Meanwhile, the role of inter-organizational networks at the district level had been optimized by performing command and control over developments in the situation, involving community organizations and business institutions. Furthermore, on the factors affecting the network, everything had been maximized except two factors that were still lacking, including partnerships and the use of sophisticated information technology.

Assessing Social Network Influences on Adult Physical Activity Using Social Network Analysis: A Systematic Review

2021 ◽  
pp. 089011712110607
Author(s):  
Tyler Prochnow ◽  
Megan S. Patterson
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Connectedness ◽  
Data Extraction ◽  
Network Size ◽  
Individual Level ◽  
Final Sample ◽  
Complex Picture

Objective Social network analysis (SNA) can measure social connectedness and assess impact of interpersonal connections on health behaviors, including physical activity (PA). This paper aims to systematically review adult PA studies using SNA to understand important social network concepts relative to PA. Data Source A search was performed using PsycINFO, MEDLINE, PubMed, and Web of Science. Study Inclusion and Exclusion Criteria To be included in the search, articles needed to 1) include a measure of PA, 2) conduct an SNA in which specific relationships were measured, and 3) conduct an analysis between social network measures and PA. Data Extraction Key study elements including network design and results were extracted. Data Synthesis Data were synthesized to answer 2 questions: 1) how has adult PA been investigated using SNA approaches and 2) how is an adult’s social network associated with PA behaviors? Results A final sample of 28 articles remained from an initial 11 085 articles. Network size, homophily, network composition, and network exposure to PA were all associated with individual level PA across studies. Lastly, longitudinal and intervention studies showed a more complex picture of social influence and diffusion of PA behavior. Conclusions Adults’ PA behaviors are influenced by their networks. Capitalizing on this influence, researchers should engage not just individual behavior change but also the social influences present within the person’s life.

scholarly journals Risk factors for Clonorchis sinensis infection transmission in humans in northern Vietnam: A descriptive and social network analysis study

2017 ◽  
Vol 66 (2) ◽  
pp. 74-82 ◽  
Author(s):  
Hoang Quang Vinh ◽  
Waraphon Phimpraphai ◽  
Sirikachorn Tangkawattana ◽  
John F. Smith ◽  
Sasithorn Kaewkes ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Clonorchis Sinensis ◽  
Infection Transmission ◽  
Analysis Study ◽  
Northern Vietnam

scholarly journals Descriptive analysis of a tuberculosis outbreak from a northern Saskatchewan First Nations community—December 2018 to May 2019

2021 ◽  
Vol 47 (11) ◽  
pp. 479-484
Author(s):  
Nnamdi Ndubuka ◽  
Braeden Klaver ◽  
Sabyasachi Gupta ◽  
Shree Lamichhane ◽  
Leslie Brooks ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
First Nations ◽  
Descriptive Analysis ◽  
Outbreak Investigation ◽  
Active Case ◽  
Contact Investigation ◽  
Northern Saskatchewan

Background: The tuberculosis (TB) incidence rate for northern Saskatchewan First Nations on-reserve is 1.5 higher than the national average. In December 2018 a member of one of these communities was diagnosed with 4+ smear-positive TB, spurring an outbreak investigation. Objectives: To describe the public health response to TB outbreak investigation and highlight the risk factors associated with TB transmission in northern Saskatchewan; and to highlight the relevance of social network contact investigation tool in outbreak management. Methods: Descriptive analysis included active TB cases and latent TB infection (LTBI) cases linked by contact investigation to the index case. Data were collected from active TB case files. Statistical analyses were performed and social network analysis conducted using household locations as points of contact between cases. Results: A total of eight active TB cases and 41 LTBI cases were identified as part of the outbreak between December 2018 and May 2019. Half of the cases (4/8) were 25 to 34 years old, and five were smear negative. One-third of the people with LTBI were 15 to 24 years old, and about a half tested positive to the new tuberculin skin test (TST). The commonly reported risk factors for TB and LTBI cases were alcohol use, cigarette use, marijuana use, previous TB infection and homelessness. Social network analysis indicated a relationship between increased node centrality and becoming an active case. Conclusion: Real-time social network contact investigation used in active-case finding was very successful in identifying cases, and enhanced nursing support, mobile clinics and mobile X-ray worked well as a means of confirming cases and offering treatment. TB outbreaks in northern Saskatchewan First Nations on-reserve communities are facilitated by population-specific factors. Efforts to implement context-specific interventions are paramount in managing TB outbreaks and preventing future transmission.

scholarly journals Research on Social Development and Management Based on Social Network Analysis

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Chenchen Ma
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Development ◽  
Interpersonal Communication ◽  
The Internet ◽  
The Social ◽  
The Individual ◽  
Relationship Structure ◽  
Development And Management

If you want to understand the social development and management of social network analysis, you must first know what social network analysis is. The network not only refers to the things that we usually use to surf the Internet, make calls, chat, etc., it is actually a relationship structure, a medium that links all aspects of related or unrelated things, and social network refers to the social The medium that connects various relationships is mainly to connect the individual with the social system. Everyone has his own way of behavior, has his own role in society, plays his own role, and effectively connects these individuals, just like our interpersonal communication in society, forming a social network. The Internet is actually the interaction of people in the social environment. It is similar to the Internet that we usually come into contact with. It has both restraints and development.

scholarly journals Assessing Governments’ Emergency Responses to COVID-19 Outbreak Using a Social Network Analysis (SNA)

2020 ◽  
Author(s):  
Wignyo Adiyoso
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Local Governments ◽  
Task Force ◽  
Analysis Tool ◽  
Team Members ◽  
Cultural Aspects ◽  
Emergency Responses

<p>This study aims to assess organisational emergency responses to COVID-19 from a social network analysis (SNA) perspective. This is the first study to evaluate the government's emergency response to COVID-19.</p><p><br></p><p>Study design used content analyse focused on the Indonesia Taskforce Response to COVID-19. Taskforce members identified and analysed were 150 people. Data were obtained from a weekly Indonesian magazine, TEMPO, which reported on the government's response to COVID-19 from early March to early April 2020. Data analysis used a Social Network Analysis tool.</p><p><br></p><p>The study found that the emergency response to a COVID-19 consisted of less solid, non-traditional structural interactions, and that the head of the task force played a lesser role in the response to such an outbreak. The dynamic roles of actors and their relationships within the group reflect the weaknesses of the organisational emergency response to COVID-19. Cultural aspects, the overlapping of regulations and the lack of communication between central and local governments may have contributed to the lack of cohesion in the organisational response. The content analysis found that the issues of concern to the team members included coordination, hoax, social distancing and the lack of testing equipment. </p><p><br></p><p>The results of the study are expected to add literatures of research on emergency response to pandemics. This study can assist decision makers and practitioners to design and manage cooperation amongst actors and their networks in future emergency response systems.</p>

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