scholarly journals Stochastic Actor‐Oriented Modeling of the Impact of COVID‐19 on Financial Network Evolution

Stat ◽  
2021 ◽  
Author(s):  
Amanda M. Y. Chu ◽  
Lupe S. H. Chan ◽  
Mike K. P. So
Keyword(s):  
Network Evolution ◽  
Financial Network ◽  
The Impact

Change in Service Provision Networks: The Case of Animal Welfare Services

2021 ◽  
pp. 0160323X2110092
Author(s):  
Laura A. Reese ◽  
Xiaomeng Li
Keyword(s):  
Service Provision ◽  
Survey Design ◽  
Participant Observation ◽  
Local Level ◽  
Major Change ◽  
Network Evolution ◽  
Political Factors ◽  
Before And After ◽  
Organizational Ties ◽  
The Impact

This research focuses on change within informal service provision networks, specifically examining the impact that changes within a key organization can have on the larger network. Employing a before and after survey design with a treatment at the midpoint and participant observation, it asks: What is the impact of a major change within one organization on the larger external network? What is the nature of the organizational ties? and, How do political factors exogenous to the network impact the network evolution process? The findings suggest that internal change within a focal actor can have ripple effects throughout the network increasing density. Public service provision at the local level can be enhanced through an increase in partnerships between the public and nonprofit sectors. However, network evolution can be limited by the larger political environment and lack of a coordinating role on the part of local government.

Global financial network and liquidity risk

2018 ◽  
Vol 43 (4) ◽  
pp. 593-613 ◽  
Author(s):  
John Nkwoma Inekwe ◽  
Yi Jin ◽  
Maria Rebecca Valenzuela
Keyword(s):  
Financial Integration ◽  
Liquidity Risk ◽  
Jel Classification ◽  
Network Approach ◽  
Access To Finance ◽  
Financial Network ◽  
Level Data ◽  
Strongly Connected ◽  
The Impact ◽  
The Relationship

This article investigates the impact of global financial integration on liquidity risk. Using the network approach and bank-level data for 95 countries, we find weak asymmetry in the relationship between net stable funding and financial connectedness. Our results suggest that the degree of connectedness between banks is inversely related to funding stability. We also find that banks that are strongly connected to important lenders take on more risks relative to those that have independent access to finance in the financial network. Our results are consistent and invariant when either internal or external instruments are used to resolve econometric issues. JEL Classification: F21, F34, F36, G15, G33

scholarly journals Analyzing the Coevolution of Mobile Application Diffusion and Social Network: A Multi-Agent Model

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 521
Author(s):  
Zhenyu Zhang ◽  
Huirong Zhang ◽  
Lixin Zhou ◽  
Yanfeng Li
Keyword(s):  
Social Network ◽  
Mobile Applications ◽  
Mobile Application ◽  
Dynamic Change ◽  
Real Life ◽  
Network Evolution ◽  
Agent Model ◽  
Value Perception ◽  
Multi Agent ◽  
The Impact

The successful diffusion of mobile applications in user groups can establish a good image for enterprises, gain a good reputation, fight for market share, and create commercial profits. Thus, it is of great significance for the successful diffusion of mobile applications to study mobile application diffusion and social network coevolution. Firstly, combined with a social network’s dynamic change characteristics in real life, a mobile application users’ social network evolution mechanism was designed. Then, a multi-agent model of the coevolution of a social network and mobile application innovation diffusion was constructed. Finally, the impact of mobile applications’ value perception revenue, use cost, marketing promotion investment, and the number of seed users on the coevolution of social network and mobile application diffusion were analyzed. The results show that factors such as the network structure, the perceived value income, the cost of use, the marketing promotion investment, and the number of seed users have an important impact on mobile application diffusion.

scholarly journals The Impact of Innovation Brokers on Interfirm Network Evolution

2011 ◽  
Author(s):  
Carl Joachim Kock ◽  
Remzi Gözübüyük
Keyword(s):  
Network Evolution ◽  
Interfirm Network ◽  
The Impact

Green strategies and relationship maintenance: a network evolution perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pengfei Han ◽  
Haifeng Wang ◽  
Peihua Fan
Keyword(s):  
Supply Chain ◽  
Positive Impact ◽  
Network Evolution ◽  
Relationship Maintenance ◽  
Dark Side ◽  
Structural Holes ◽  
Content Type ◽  
Paper Making ◽  
And Performance ◽  
The Impact

Purpose Along with the important impact of green strategies on firm survival and performance improvement, its dark side likewise requires attention. By integrating network evolution theory with the literature on green supply chain management, this study proposes a theoretical framework consisting of green strategies, network conduct (cooperation length), network structure (structural holes) and relationship maintenance. The purpose of this study is to indicate how green strategies can affect relationship maintenance on the basis of a network evolution perspective, and demonstrate how this effect can be influenced by cooperation length and structural holes. Design/methodology/approach Based on a sample of 122 matched pairs of the upstream and downstream supply chain from the Chinese paper-making industry, which is in urgent requirement of green strategies due to high pollution and resource consumption. Findings This study theoretically and empirically indicates that green strategies may have a positive impact on relationship maintenance. In addition, this effect can be positively moderated by cooperation length, but negatively moderated by structural holes. Originality/value This study uncovers the impact of green strategies on relationship maintenance by proposing a network evolution perspective, which could solve its conflicting effects in a specific context and move extant research a step forward.

scholarly journals Social Network Evolution: The Case of UK Companies Before and After Brexit

2022 ◽  
Vol 6 (1) ◽  
pp. 1-13
Author(s):  
Edward Edward ◽  
Amjad Fayoumi ◽  
Azar Shahgholian ◽  
Achmad Hidayanto
Keyword(s):  
Structural Changes ◽  
Negative Impact ◽  
Dynamic Networks ◽  
Deep Understanding ◽  
Network Evolution ◽  
Optimal Decision ◽  
Bias Analysis ◽  
The Uk ◽  
The Impact ◽  
The Eu

The Brexit referendum has impacted both the UK and the EU economies in several ways. The uncertainty around Brexit highlighted the importance of a relationships network between directors of companies to access information and resources that are necessary for optimal decision making. It is difficult to develop informed business and economy policies without a deep understanding of the magnitude of Brexit on business-to-business relationships with EU-based firms. This study aims to analyze the impact of the passage of the Brexit referendum on the evolution of board interlock networks. The study uses network analysis to measure the evolution of UK-EU directors’ relationships over the Brexit period, predominantly between the 2010 and 2020 period. The study models the structural changes in dynamic networks by converting this evolving network into static graphs on yearly basis. The analysis indicates that links formation in the UK is affected negatively by the Brexit referendum. It also has a negative impact on forming a new link with potential companies’ directors in the EU, but it shows a rising tendency for shared affiliation bias analysis. Interestingly, the contradicted trend in 2007, the number of directors’ connection in consumer service and food & drug sectors was decreasing in the UK while rocketing in the EU. Doi: 10.28991/ESJ-2022-06-01-01 Full Text: PDF

Understanding interorganizational network evolution

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harini K.N. ◽  
Manoj T. Thomas
Keyword(s):  
English Language ◽  
Research Work ◽  
Network Evolution ◽  
Interorganizational Network ◽  
Research Attention ◽  
Content Type ◽  
English Language Journal ◽  
Research Questions ◽  
Environmental Causes ◽  
The Impact

Purpose The purpose of this paper is to provide an overview of the available insights regarding interorganizational network evolution. The research questions being addressed are as follows: What is the nature of interorganizational network evolution? And what causes interorganizational network evolution? The review hence focuses on the nature of interorganizational network evolution (at the ego-network level and whole-network level) and the causes of interorganizational network evolution (firm-related causes and environmental causes). This paper highlights relevant gaps in the existing literature on interorganizational network evolution while outlining a research agenda by identifying key research questions and issues requiring further scholarly contributions to stimulate research in this field. Design/methodology/approach An extensive review of scholarly peer-reviewed English language journal articles was conducted in the subject areas of economics, sociology, business and management (including entrepreneurship) while excluding articles in the domain areas of computer science that dealt with computer networks and the health field that addressed neural networks to obtain articles on interorganizational network evolution for the period 1970-2019. Various journal databases such as EBSCO, ScienceDirect (Elsevier), Emerald, JSTOR and ABI/INFORM and Ebook Central on ProQuest were used to extract relevant articles using specific keywords. Findings To better understand this phenomenon of interorganizational network evolution, there is a need for future studies to focus on the less researched areas such as the “nature of evolution” of EINR1, EINR3 and EINR4 and the “causes of evolution” of FRC3, FRC5, FRC7 and FRC8. Further, over the years, in comparison to the evolution of interorganizational network relationships (EINR), fewer works have considered the evolution of overall interorganizational network structure (EINS). The research studies on environmental causes (EC) have been less in number in comparison to firm related causes (FRC), and this could be an area for further research. Also, studies on interorganizational network evolution have not examined the impact of FRC1 on EINR 3 and only a few studies have examined the impact of FRC1 on EINR1 and EINR4. Less attention has been given to the impact of FRC2 on EINR1, EINR3, EINR4 and EINS. Additionally, the impact of FRC3 on EINR1, EINR3 and EINS needs more in-depth examination. The impact of FRC4 on EINR4; FRC5 on EINR1, EINR2 and EINR4; FRC6 on EINR1 and EINS; and FRC7 and FRC8 on all forms of “nature of interorganizational network evolution” requires more research work. Finally, the impact of EC on EINR3 and EINR4 is also a less researched stream in the literature needing more scholarly contribution to better understand the phenomenon under consideration in this study. Some of the least explored theoretical lenses and relevant questions that can be addressed using these lenses to advance research on network evolution have also been discussed. Originality/value The main contribution of this paper is that it provides a comprehensive literature review, collating the dispersed knowledge on interorganizational network evolution – nature of evolution and causes of evolution, identifying areas that require further research attention for the development of this domain.

Joint effect of individual’s memory and attractiveness in temporal network on spreading dynamics

2019 ◽  
Vol 30 (01) ◽  
pp. 1950011 ◽  
Author(s):  
Mei Yang ◽  
Bing Wang ◽  
Yuexing Han
Keyword(s):  
Network Model ◽  
Joint Effect ◽  
Network Evolution ◽  
Disease Spread ◽  
Temporal Network ◽  
Epidemic Spreading ◽  
Epidemic Threshold ◽  
Modeling Framework ◽  
Positive Correlations ◽  
The Impact

Most real networks have been found to evolve dynamically. In addition, heterogeneity of interaction strengths and individual’s memory have been proved to be important to affect network evolution in the area of complex networks. Based on a recent extension of the activity-driven modeling framework, i.e. activity-driven model with attractiveness, where individuals are characterized by their activities and attractiveness, we propose a new temporal network model by considering individuals’ memory. Similar to the previous network model, we also investigate heterogeneous distributions and different correlations between the two variables (activity and attractiveness). By numerical simulations, we illustrate the impact of memory on epidemic spreading processes unfolding on the proposed model. We find that, when individuals’ attractiveness is fixed, memory does not cause dramatic change on the epidemic threshold in the SIR process, but it inhibits the epidemic spreading by reducing the infected ratio. While for the SIS process, in the case of uncorrelated and positive correlations between the two variables, memory facilitates the epidemic outbreaks by shrinking the epidemic threshold. When the two variables are negatively correlated, memory does not take obvious impact on the epidemic threshold. Besides, for the two processes unfolding on the network with and without memory, the propagation threshold decreases with the enhancement of the positive correlation, however, it almost does not get much influence from the negative correlation strength. It indicates that for the individuals with same activity, more attractive individuals will promote the disease spread. The findings deepen our understanding of the role of individuals’ memory and their attractiveness in the epidemic spreading process.

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