Abbreviation of Network Biology
The ISO4 abbreviation of Network Biology is Netw. Biol.. It is the standardised abbreviation to be used for abstracting, indexing and referencing purposes and meets all criteria of the ISO 4 standard for abbreviating names of scientific journals.
ISO4 Abbreviation of Network Biology
ISO 4 (Information and documentation – Rules for the abbreviation of title words and titles of publications) is an international standard, defining a uniform system for the abbreviation of serial publication titles. One major use of ISO 4 is to abbreviate the names of scientific journals. The International Organization for Standardization (ISO) has appointed the ISSN International Centre as the registration authority for ISO 4. It maintains the List of Title Word Abbreviations (LTWA) containing standard abbreviations for words commonly found in serial titles. LTWA includes more than 56,000 words and their abbreviations in 65 languages. In conclusion, under ISO 4 standards, the Network Biology should be cited as Netw. Biol. for abstracting, indexing and referencing purposes.
Network biology is a science that deals with the structure, function, regulation (control), design, and application, etc., of various biological networks. It is an interdisciplinary science based on life sciences (biology, ecology, medicine, etc.), mathematics and systems science (graph theory, network science, complexity theory, etc.), computational science (computation methods, programming), statistics, etc. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. The topics to be covered by Network Biology include, but are not limited to: Theories, algorithms and programs of network analysisEvolution, dynamics, optimization and control of biological networksNetwork construction, link predictionNetwork topology, topological analysis, relationship between topological structure and network functions, sensitivity analysis, network robustness and stabilityNetwork flow analysisDesign and formulation of biological networksEcological networks, food webs and natural equilibrium, co-evolution, co-extinction, biodiversity conservationMetabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs and modulesPhysiological networks, social networks, epidemiological networksNetwork regulation of metabolic processes, human diseases and ecological systemsSystem complexity, self-organization, emergence of biological systems, agent-based modeling, neural network modeling, and other network-based modeling, etc.Big data analytics of biological networks