24 June 2016
Danube Research Institute, Budapest, Hungary

Systems ecological approaches to analyze network of networks

Brian Fath is giving a talk at the Danube Research Institute, MTA Centre for Ecological Research.

Networks are ubiquitous. Developments in network analysis have revealed interesting properties regarding their interconnectedness such as indirect pathways, cycling, control, and relational attributes (such as indirect mutualism).

Recent approaches have focused on the embedding and overlay of one network with another, creating a network of networks. In this presentation, an overview of ecological network analysis methodology is presented along with two case studies of networks of networks.

The first combines control analysis with food web analysis to assess the impact of dam construction in the Mekong River. The second combines a food web model with a social movement network to assess the spread of invasive species in managed, recreational lakes in Nebraska, USA.

Danube Research Institute, MTA Centre for Ecological Research
Karolina 29, Budapest, Hungary

Danube research institute

By unifying excellence in research, authenticity in science, and a commitment to society, the institute network of the Academy is set to produce values for both national and international success in Hungarian and universal science. Building on the national research traditions, being part of the only full-time research institute network in Hungary, primary aim of the institute is to play a fundamental role in promoting the common weal and in building the foundation for the future through valuable scientific achievements based on highly promising discovery research.

The main research topics of the institute are:

  • the study of the composition, structure, dynamics and functioning of terrestrial and water ecosystems;
  • the study of the sustainability of ecosystem services from an ecological view;
  • research correlating to the international operative agreements regarding the protection of habitats, biodiversity and water quality;
  • effect analysis of land use, landscape management, water use, control of waters, and other interventions modifying the state of the environment, furthermore providing scientific basis of actions aimed at restoration and the study of the background and relations of ecological processes on global, regional and local scale.

Brian Fath is Professor at the Department of Biological Sciences, Towson University (Maryland, USA), Research Scholar at the Advanced Systems Analysis Program, IIASA, Austria, and Editor-in-Chief of the journal Ecological Modelling.

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Last edited: 23 June 2016


Brian Fath

Senior Research Scholar

Systemic Risk and Resilience Research Group

Advancing Systems Analysis Program

YSSP Scientific Coordinator

Young Scientists Summer Program

Capacity Development and Academic Training Unit

T +43(0) 2236 807 605


Ferenc Jordán

Scientific advisor



Yang, S., Fath, B. , & Chen, B. (2016). Ecological network analysis of embodied particulate matter 2.5 – A case study of Beijing. Applied Energy 184, 882-888. 10.1016/j.apenergy.2016.04.087.

Jorgensen, S.E., Nielsen, S.N., & Fath, B.D. (2016). Recent progress in systems ecology. Ecological Modelling 319 (10), 112-118. 10.1016/j.ecolmodel.2015.08.007.

Fath, B. (2015). Sustainability of Complex Systems: Insights from Ecological Dynamics. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.

Goerner, S., Fiscus, D., & Fath, B.D. (2015). Using energy network science (ENS) to connect resilience with the larger story of systemic health and development. Emergence: Complexity and Organization 17 (3), 1-21. 10.emerg/10.17357.3d5966bc59d8c23528089eb3304db847.

Jorgensen, S.E., Fath, B.D. , Nielsen, S.N., Pulselli, F.M., Fiscus, D.A., & Bastianoni, S. (2015). Flourishing Within Limits to Growth: Following nature's way. London: Routledge. ISBN 978-1138842533 10.4324/9781315731445.

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313