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Core-periphery networks are highly susceptible to contagion and generate fire sales of assets that exacerbate financial contagion beyond the mechanical role of network structure. In contrast, contagion is minimal on circle networks and market prices remain stable. Uncertainty on the location of the shock has little influence.Correlation-based networks models that combine financial networks with contagion models emerge from the dependence structure among market prices, and links can be related to Granger causality (Billio et al. 2012; Diebold and Yılmaz 2014) or to pairwise correlations between returns (Tumminello et al. 2010). Some other works have focused on ...fore generates less total peer adoption in the network. Overall, we find that viral product design features generate econometrically identifiable peer influence and social contagion effects and provide a model for how randomized trials can identify peer influence in networks. 2. Viral Product Design Since the early work of Katz and Lazersfled ...We develop a theoretical framework for the study of epidemic-like social contagion in large scale social systems. We consider the most general setting in which different communication platforms or categories form multiplex networks. Specifically, we propose a contact-based information spreading model, and show that the critical point of …

in the network theory literature, and then consider empirical studies that investigate the relationship between centrality measures and the inherent vulnerability of the network to contagion. We argue that thus far the empirical work has not produced a compelling link between traditional network measures and financial stability. Studying contagion risk in financial networks is very important for the stability of financial systems. But most models of financial networks often suffer from their very own problems. Many financial network models do not include interbank networks or inter-firm networks [8], [11], [13], [29], [33]. The study of Delli Gatti et al. [12] includes ...Explosive Contagion in Networks J. Gómez -Gardeñes 1 , 2 , L. Lotero 3 , 6 , S. N. Tar askin 4 & F. J. Pérez -Reche 5 The spread of social phenomena such as behaviors, ideas or products is an ...contagion in networks, homophily may also explain such evidence. Here we develop a dynamic matched sample estimation framework to distinguish influence and homophily effects in dynamic networks, and we apply this framework to a global instant messaging network of 27.4 million users, using data on the day-by-day adoption of a

Fig. 1. Simplicial contagion model (SCM). The underlying structure of a social system is made of simplices, representing d-dimensional group interactions ( a ), organized in a simplicial complex ...Scientific Reports (2018) The threshold model has been widely adopted as a classic model for studying contagion processes on social networks. We consider asymmetric individual interactions in ...Using these algorithms, we study the spread of contagion in scale-free networks with 1,000 players using millions of Monte Carlo simulations. Our analysis provides quantitative and qualitative insight into the design of policies to control or spread contagion in networks. The scope of application is enlarged given the many other situations ... ….

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Using a case study of a newly emerging CSA, the role of social contagion in network evolution will be assessed. The merit of this research stems from its central task of uncovering the dynamics manifest in the evolution of food networks. Network mapping will quantify the changes of food networks that have previously only been captured in a ..."Contagion in Financial Networks," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 779-831, September. Glasserman, Paul & Young, H. Peyton, 2016. " Contagion in financial networks ," LSE Research Online Documents on Economics 68681, London School of Economics and Political Science, LSE Library.The study of informational contagion did not originally require the use of an explicit network, but the concept of a network is a natural framework for the study of informational contagion. Two of the earliest studies, Kodres and Pritzker (2002) [KP] and Pavlova and Rigobon (2008) [PR], illustrate the network structure that is implicit in the ...

We explore how the probability and potential impact of contagion is influenced by aggregate and idiosyncratic shocks, changes in network structure and asset market liquidity. Our findings suggest that financial systems exhibit a robust-yet-fragile tendency: while the probability of contagion may be low, the effects can be extremely widespread ...The purpose of this study is to examine network learning through the application of contagion theories. The transmission of knowledge, sharing of resources, and facilitation of learning through contagion has interested both business-to-business and economic geography researchers. This study responds to calls in both research traditions for ...Complex contagions that require more than two contacts to “infected” sources can be described with threshold rules. In the following description of such general contagion dynamics, the components of a network are regarded as either active or inactive and change their state according to three fundamental processes: (i) an active node becomes …

deshaney case We develop a model for contagion risks and optimal security investment in a directed network of interconnected agents with heterogeneous degrees, loss functions, and security profiles. Our model generalizes several contagion models in the literature, particularly the independent cascade model and the linear threshold model. We state … induced seismicityenergy from matter Default and contagion in crisp financial networks. Aim of the literature on contagion (see for instance [1] or [2]) is to compute in which way a shock, which initially affects only one bank, propagates in the financial networks and produces a contagion cascade. In this section, we present some of the main ideas in this literature which ...2. Social networks and contagion. Formally, a social network is a collection of individuals and the ties between them. The presence of a tie between two indi viduals indicates that the individuals share some kind of a relationship; what types of relationships are encoded by network ties depends on the context. For exam kansas missouri basketball Xiong et al. (2018) proposed an emotional independent cascade model in which individual emotion can affect the subsequent emotion of his/her friends aiming to show the detailed process and characteristics of emotional contagion within social media (Xiong et al., 2018). Most of the personality prediction employs Linguistic Inquiry and Word …To assess the relevance of asymptotic formulae for studying contagion in networks with such sizes, we generate a scale-free network of 10,000 nodes with Pareto distributed exposures using the random graph model introduced by … becoming a principalkansas v missouriuniversity if kansas football Here, we propose an alternative method for detecting emotional contagion in massive social networks that is based on instrumental variables regression, a technique pioneered in economics [23]. In an experiment we would directly control each user's emotional expression to see what impact it has on their friends' emotional expression. riverline train schedule to camden Contagion in Financial Networks by Paul Glasserman and H. Peyton Young. Published in volume 54, issue 3, pages 779-831 of Journal of Economic …Miritello et al. (2011) use an approach that combines an explicit SIR disease model and a dynamic network to produce a static network that describes the spread of contagion in that network. Their method gives an estimate of the expected outbreak size, as well as the epidemic threshold on that network. drivers license renewal salina kso reilly diagnosticexample of a swot analysis Here, we propose an alternative method for detecting emotional contagion in massive social networks that is based on instrumental variables regression, a technique pioneered in economics [23]. In an experiment we would directly control each user's emotional expression to see what impact it has on their friends' emotional expression.