Advances in dynamic temporal networks: Understanding the temporal dynamics of complex adaptive networks

Complex networks have been extensively studied in the past 15 years and with increasing details. However, research on the temporal dynamics of complex networks is largely a new territory yet to map out. The present volume presents a collection of papers dealing with various aspects of the problem and this editorial introduces the field as well as the papers.

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[9]  Peter M. A. Sloot,et al.  Bio-Development of Motorway Network in the Netherlands: a slime mould Approach , 2013, Adv. Complex Syst..

[10]  George Kampis,et al.  Elementary models of dynamic networks , 2013 .

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[14]  Ulf Leser,et al.  Inference of Surface Membrane Factors of HIV-1 Infection through Functional Interaction Networks , 2010, PloS one.

[15]  Andrea De Luca,et al.  Combining social and genetic networks to study HIV transmission in mixing risk groups , 2013 .

[16]  Jari Saramäki,et al.  Temporal Networks , 2011, Encyclopedia of Social Network Analysis and Mining.

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[19]  P. Sloot,et al.  Combining Epidemiological and Genetic Networks Signifies the Importance of Early Treatment in HIV-1 Transmission , 2012, PloS one.

[20]  Katy Börner,et al.  Plug-and-play macroscopes , 2011, Commun. ACM.

[21]  P. Coveney,et al.  HIV decision support: from molecule to man , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[22]  Yifan Zhu,et al.  Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam , 2008, Math. Comput. Simul..

[23]  Chaomei Chen,et al.  Visualizing knowledge domains , 2005, Annu. Rev. Inf. Sci. Technol..

[24]  Peter M. A. Sloot,et al.  International Journal of Computer Mathematics Stochastic Simulation of Hiv Population Dynamics through Complex Network Modelling Stochastic Simulation of Hiv Population Dynamics through Complex Network Modelling , 2022 .

[25]  Michele Catanzaro,et al.  Dynamical processes in complex networks , 2008 .

[26]  Matthias Trier,et al.  Analyzing the Dynamics of Community Formation Using Brokering Activities , 2007 .

[27]  Rick Quax,et al.  The diminishing role of hubs in dynamical processes on complex networks , 2011, Journal of The Royal Society Interface.

[28]  Ciro Cattuto,et al.  Empirical temporal networks of face-to-face human interactions , 2013, The European Physical Journal Special Topics.

[29]  Niloy Ganguly,et al.  Dynamics On and Of Complex Networks , 2009 .

[30]  Gueorgi Kossinets,et al.  Empirical Analysis of an Evolving Social Network , 2006, Science.

[31]  P. Sloot,et al.  Inferring epidemiological parameters from phylogenetic information for the HIV-1 epidemic among MSM , 2013 .

[32]  Peter M. A. Sloot,et al.  Information processing as a paradigm to model and simulate complex systems , 2012, J. Comput. Sci..

[33]  Christos Faloutsos,et al.  Dynamics of large networks , 2008 .

[34]  Kathleen M. Carley,et al.  Toward an interoperable dynamic network analysis toolkit , 2007, Decis. Support Syst..

[35]  Albert-László Barabási,et al.  Scale-Free Networks: A Decade and Beyond , 2009, Science.

[36]  Chaomei Chen,et al.  Searching for intellectual turning points: Progressive knowledge domain visualization , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Rick Quax,et al.  Increasing risk behaviour can outweigh the benefits of antiretroviral drug treatment on the HIV incidence among men-having-sex-with-men in Amsterdam , 2010, BMC infectious diseases.

[38]  P. Duijn,et al.  The Relative Ineffectiveness of Criminal Network Disruption , 2014, Scientific Reports.

[39]  Peter M. A. Sloot,et al.  Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks , 2010, BMC Systems Biology.

[40]  Peter M. A. Sloot,et al.  Towards understanding the behavior of physical systems using information theory , 2013 .

[41]  David M. Pennock,et al.  Winners don't take all: Characterizing the competition for links on the web , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[42]  Peter M. A. Sloot,et al.  Inference of the Russian Drug Community from One of the Largest Social Networks in the Russian Federation , 2016 .