Exponential random graph modeling of emergency collaboration networks

Hossain, Liaquat; Hamra, Jafar; Wigand, Rolf T.; Carlsson, Sven

doi:10.1016/j.knosys.2014.12.029

Cited by 20 publications

(9 citation statements)

References 22 publications

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“…In addition, with the development of COVID-19, the mechanism and prevention and control methods of the epidemic have gradually become clear, the decentralized network became more conducive to inter-organizational communication and emergency operations under multi-task. This is consistent with opinion that decentralized network is more conducive to information interaction to support decision-making in the study of Hossain et al ( 2015 ). Therefore, in the COVID-19 emergency, centralized and decentralized networks are complementary.…”

Section: Discussionsupporting

confidence: 92%

Dynamic analysis of emergency inter-organizational communication network under public health emergency: a case study of COVID-19 in Hubei Province of China

Liu

Wang

2021

Nat Hazards

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Public health emergencies, especially major infectious diseases, may cause global crises. Timely and effective communication is essential for response to such incidents. However, the emergency response to such incidents usually lasts longer and break out repeatedly, and the existing static emergency communication network (ECN) analysis cannot fully reflect the dynamic information interaction between organizations during the emergency process. Therefore, this article takes the recent COVID-19 epidemic in Hubei, China as a case, and uses social network analysis to reveal the dynamic evolution of communication networks, positions, roles, and tasks of organizations from the time dimension. The results show that: (1) the ECN has changed from concentrated to decentralized over time; (2) the positions and roles of participating organizations in the ECN has changed, but there are still a few key organizations that at the central position in all phases of emergency communication; (3) the core tasks have changed due to emergency needs at each stage; (4) under the concentrated management system, the core organization of the ECN mainly comes from government organizations. The research results reveal the dynamic evolution of communication networks between different types of emergency organizations, which is beneficial to guide emergency management of public health emergencies. In actual emergency, the emergency communication mode should be dynamically adjusted based on the characteristics of the emergency situation at different stages, comprehensively using the advantages of the concentrated and decentralized emergency network. In addition, communication between different types of organizations such as governments, research institutions, and enterprises should be strengthened, and channels for diversified organizations to participate in emergency communication should be set up. The research helps to improve communication between emergency response organizations and is of great significance to controlling and reducing the harm caused by public health emergencies.

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Section: Discussionsupporting

confidence: 92%

Dynamic analysis of emergency inter-organizational communication network under public health emergency: a case study of COVID-19 in Hubei Province of China

Liu

Wang

2021

Nat Hazards

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“…A further advantage is that the potential statistics in an ERGM enables a more in-depth exploration of the dependent relationships between individuals compared to other network models. ( Hossain et al, 2015 ). In future, it could be extended from binary random variables to classified relational variables or multiple relational variables.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Using Exponential Random Graph Models to Analyze the Character of Peer Relationship Networks and Their Effects on the Subjective Well-being of Adolescents

et al. 2017

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The influences of peer relationships on adolescent subjective well-being were investigated within the framework of social network analysis, using exponential random graph models as a methodological tool. The participants in the study were 1,279 students (678 boys and 601 girls) from nine junior middle schools in Shenzhen, China. The initial stage of the research used a peer nomination questionnaire and a subjective well-being scale (used in previous studies) to collect data on the peer relationship networks and the subjective well-being of the students. Exponential random graph models were then used to explore the relationships between students with the aim of clarifying the character of the peer relationship networks and the influence of peer relationships on subjective well being. The results showed that all the adolescent peer relationship networks in our investigation had positive reciprocal effects, positive transitivity effects and negative expansiveness effects. However, none of the relationship networks had obvious receiver effects or leaders. The adolescents in partial peer relationship networks presented similar levels of subjective well-being on three dimensions (satisfaction with life, positive affects and negative affects) though not all network friends presented these similarities. The study shows that peer networks can affect an individual’s subjective well-being. However, whether similarities among adolescents are the result of social influences or social choices needs further exploration, including longitudinal studies that investigate the potential processes of subjective well-being similarities among adolescents.

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“…In the field of network security, Zhao [20] models secure sensor networks by employing the q-composite key pre-distribution, which provides guidance for applications such as distributed in-network parameter estimation, fault-tolerant consensus, and resilient data backup. In the field of public safety, Hossain et al [21] use the exponential random graph model to optimise the network in the emergency management environment to an effective response to bushfires requirements.…”

Section: Related Workmentioning

confidence: 99%