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  • Classical mechanics of economic networks 

    Dehmamy, Nima; Buldyrev, Sergey V.; Havlin, Shlomo; Stanley, Harry Eugene; Vodenska, Irena (2014-10-01)
    Financial networks are dynamic. To assess their systemic importance to the world-wide economic network and avert losses we need models that take the time variations of the links and nodes into account. Using the methodology ...
  • Crises and physical phases of a bipartite market model 

    Dehmamy, Nima; Buldyrev, Sergey; Havlin, Shlomo; Stanley, Harry Eugene; Vodenska, Irena (2016-09-19)
    We analyze the linear response of a market network to shocks based on the bipartite market model we introduced in an earlier paper, which we claimed to be able to identify the time-line of the 2009-2011 Eurozone crisis ...
  • Learning to improvise, or improvising to learn: knowledge generation and ‘innovative practice’ in project environments 

    Leybourne, Stephen; Kennedy, Monica (Wiley, 2015-01)
    This paper considers the links between knowledge management, improvisational working and project management, highlighting their confluence in a number of key dimensions and focusing on the way new knowledge is generated, shared, ...
  • Project knowledge into project practice: generational issues in the knowledge management process 

    Leybourne, Stephen; Bernardin, Emmanuelle
    This paper considers Learning and Knowledge Transfer within the project domain. Knowledge can be a tenuous and elusive concept, and is challenging to transfer within organizations and projects. This challenge is compounded ...
  • Doing time wisely: the social and personal benefits of higher education in prison 

    Baranger, Jillian; Rousseau, Danielle; Mastrorilli, Mary Ellen; Matesanz, James (SAGE Publications, 2018-09-01)
    Much of the research about the effects of postsecondary education for incarcerated individuals has focused on men. However, given the increase in rates of women’s imprisonment over the past two decades, it is imperative ...
  • Cohesiveness in financial news and its relation to market volatility 

    Piskorec, Matija; Antulov-Fantulin, Nino; Novak, Petra Kralj; Mozetic, Igor; Grcar, Miha; Vodenska, Irena; Smuc, Tomislav (NATURE PUBLISHING GROUP, 2014-05-22)
    Motivated by recent financial crises, significant research efforts have been put into studying contagion effects and herding behaviour in financial markets. Much less has been said regarding the influence of financial news ...
  • Cascading failures in bi-partite graphs: model for systemic risk propagation 

    Huang, Xuqing; Vodenska, Irena; Havlin, Shlomo; Stanley, H. Eugene (NATURE PUBLISHING GROUP, 2013-02-05)
    As economic entities become increasingly interconnected, a shock in a financial network can provoke significant cascading failures throughout the system. To study the systemic risk of financial systems, we create a bi-partite ...
  • Geographically weighted regression in the analysis of the development of information and communication technology in Indonesia 

    Pushpita Dwi, Sari; Jamilatuzzahro; Kanabar, Vijay (CEEOL (, 2018-11-30)
    The main purpose of this paper was to analyze the development of Information and Communication Technology (ICT) in Indonesia with Geographically Weighted Regression (GWR) to enable the identification of the variability of ...
  • Partial correlation analysis: applications for financial markets 

    Kenett, Dror Y.; Huang, Xuqing; Vodenska, Irena; Havlin, Shlomo; Stanley, H. Eugene (ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2015-04-03)
    The presence of significant cross-correlations between the synchronous time evolution of a pair of equity returns is a well-known empirical fact. The Pearson correlation is commonly used to indicate the level of similarity ...
  • Interdependencies and causalities in coupled financial networks 

    Vodenska, Irena; Aoyama, Hideaki; Fujiwara, Yoshi; Iyetomi, Hiroshi; Arai, Yuta (PUBLIC LIBRARY SCIENCE, 2016-03-15)
    We explore the foreign exchange and stock market networks for 48 countries from 1999 to 2012 and propose a model, based on complex Hilbert principal component analysis, for extracting significant lead-lag relationships ...

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