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www.timreview.ca Technological Public–Private Innovation Networks: A Conceptual Framework Describing Their Structure and Mechanism of Interaction
, 2015
"... The last 20 years have witnessed different forms of col-laborative relationships that have been theorized, for example, in terms of innovation systems, innovation ..."
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The last 20 years have witnessed different forms of col-laborative relationships that have been theorized, for example, in terms of innovation systems, innovation
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, 2013
"... REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704–0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing a ..."
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REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704–0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to
Contents
, 2011
"... This Working Paper should not be reported as representing the views of the IMF. The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to eli ..."
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This Working Paper should not be reported as representing the views of the IMF. The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. In this paper we explore the properties of the global banking network using cross-border bank lending data for 184 countries over 1978–2009. Specifically, we analyze financial interconnectedness using network metrics of centrality, connectivity, and clustering. We document a relatively unstable global banking network, with structural breaks in network indicators identifying several waves of capital flows. Interconnectedness rankings, especially for borrowers, are relatively volatile over the period. Connectivity tends to fall during and after systemic banking crises and sovereign debt crises. The 2008–09 global financial crisis stands out as an unusually large perturbation to the cross-border banking network.
and from ETH Zurich Foundation.
, 2010
"... ∗The authors acknowledge helpful discussions and exchanges with H. Gersbach, Y. Malevergne, M. Marsili and R. Woodard. All remaining errorsare ours. PS and JAH were supported byEuropeanCOSTActionMP0801(PhysicsofCompetition andConflicts)and by the Polish Ministry of Science and Education, Grant No 57 ..."
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∗The authors acknowledge helpful discussions and exchanges with H. Gersbach, Y. Malevergne, M. Marsili and R. Woodard. All remaining errorsare ours. PS and JAH were supported byEuropeanCOSTActionMP0801(PhysicsofCompetition andConflicts)and by the Polish Ministry of Science and Education, Grant No 578/N-COST/2009/0. DS acknowledges financial support from the ETH Competence Center “Coping with Crises in Complex Socio-Economic Systems ” (CCSS) through ETH Research Grant CH1-01-08-2
Wither complexity? © 1
, 2010
"... A basic problem with complexity is that we would like to characterize all complex systems both verbally and mathematically and do so in a clear, concise and distinctive manner, as do scientists with many of the systems found in other fields. Such characterizations are necessary if we are to distingu ..."
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A basic problem with complexity is that we would like to characterize all complex systems both verbally and mathematically and do so in a clear, concise and distinctive manner, as do scientists with many of the systems found in other fields. Such characterizations are necessary if we are to distinguish complex systems from other kinds of dynamical systems, influence their functioning, forecast their behavior and formulate the public policies to be followed in dealing with them. In fact, some people seem to be making considerable progress. These include the people who study systems which can be modeled as biotic systems, cellular automata or networks, or as systems which can be adapted to the framework of statistical physics. However, the question remains, what about the rest of us? Whether or not such characterizations are possible for many types of complex systems remains very much an open question. This paper surveys progress to date and suggests some promising avenues for further research but reaches a guarded conclusion. Complexity is rather like pornography. We can almost always tell a complex system when we see one, but we frequently 1 © Windy Hill Associates 2010. Reproduction and distribution authorized only for non-commercial purposes within small work places, such as an academic department, a classroom, an office or a research unit. 2 have a hard time in trying to characterize it in a rigorous manner. Moreover, if we don’t “get a better handle ” on complex systems and how they function, we will continue to have a hard time managing them and this, needless to say, is a very important issue. Cardiovascular systems, economies, markets, neurological systems, political societies and large telecommunications systems, to name only a few, are all complex systems, and many of them are not always managed well. So the writer asks his readers, Where do we go from here? Wither complexity?
The Physics of Complex Networks
, 2011
"... What are complex networks and why are they so important? We briefly sketch a contour landscape with current state of the art, intertwined with new challenging questions. We have freely chosen to emphasize some topics and to neglect or omit others. Our purpose was not to provide a comprehensive revie ..."
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What are complex networks and why are they so important? We briefly sketch a contour landscape with current state of the art, intertwined with new challenging questions. We have freely chosen to emphasize some topics and to neglect or omit others. Our purpose was not to provide a comprehensive review, but rather to provoke enthousiasm for the huge potential of complex networking. 1
