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International Society of Network Biology

Network Biology

Networks are directed graphs (in practical applications also undirected) and a graph is a one-dimensional abstract complex, i.e., a topological space. Network theory focuses on various topological structures and properties, dynamic properties, and functionality-topology relationship, etc. There are some common mathematical foundations, theories and methodology for network analysis (Zhang WJ. Computational Ecology: Graphs, Networks and Agent-based Modeling. World Scientific, Singapore, 2012), in which graph theory, statistics, and operational research, etc., are the fundamental sciences of network analysis. Various emerging biological networks, at both micro- and macro- levels, will provide numerous sources for the development of general network theory and methodology and also facilitate the development of theory and methodology of biological networks.

Biological network analysis is a fast moving science. Many core scientific issues, for example, ecological structure, co-evolution, co-extinction and biodiversity conservation in ecology, and cancer development and metabolic regulation in health science, etc., are expected to be addressed by network approaches and network analysis.

In the view of system dynamics, biological networks are always self-organized systems with emergent, autonomous and adaptive properties. Their dynamics can be represented by agent-based modeling, individual-based modeling and some other methodologies like neural network modeling. Therefore, agent-based modeling, individual-based modeling, self-organization of biological systems, and neural network modeling, etc., fall into the aims and scope of network biology.

Network analysis is becoming the core methodology to treat complex biological systems. As the fast development of this area, more and more papers on biological networks are published. At present explosive numbers of quality papers on biological networks are being published each year. The initiation of the society, International Society of Network Biology, will provide a public platform for the publication of these studies.

The topics to be covered by network biology include, but are not limited to:

Theories, algorithms and programs of network analysis
Innovations and applications of biological networks
Ecological networks, food webs and natural equilibrium
Co-evolution, co-extinction, biodiversity conservation
Metabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs
Physiological networks
Network regulation of metabolic processes, human diseases and ecological systems
Social networks, epidemiological networks
System complexity, self-organized systems, emergence of biological systems, agent-based modeling, individual-based modeling, neural network modeling, etc.

International Society of Network Biology

International Society of Network Biology (ISNB) is a non-government and non-profit scientific society. The ISNB devotes to promote the advancement of network biology. The ISNB always sponsors conferences and releases publications such as Network Biology.

Membership

Qualified biologists, mathematicians and computational scientists in the world can apply for the membership of the ISNB. A nominal fee is charged for the membership of the ISNB.

Conferences

The ISNB conferences are sponsored and organized by universities and institutes. They are also responsible for the review process of the papers as well as for the final technical program.

Publications

The ISNB releases and distributes publications in particular online journals. The publications are peer-reviewed by experienced scientists worldwide to guarantee high-quality.

Prizes

Every two or three three years, the ISNB and ISCE jointly issue an international prize to one or two excellent network biologist(s) and (or) computational ecologist(s) around the world.

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