04065cam a2200721Ia 4500 ocn851153926 OCoLC 20171106100209.0 m o d cr cnu|||unuuu 130628s2013 gw ob 001 0 eng d 016300421 Uk 9783527670475 (electronic bk.) 3527670475 (electronic bk.) 1299701469 (ebk) 9781299701465 (ebk) 9783527670499 (mobi) 3527670491 (mobi) 9783527670468 3527670467 352733291X (hbk.) 9783527332915 (hbk.) 9783527332915 3527670467 AU@ 000051817004 DEBBG BV041908928 DEBSZ 452516447 DKDLA 820120-katalog:000732191 NLGGC 363611576 NZ1 15497581 DEBBG BV043396045 (OCoLC)851153926 (OCoLC)857446982 (OCoLC)958541141 (OCoLC)961695972 (OCoLC)962729852 IDEBK eng pn IDEBK EBLCP MHW CUS N$T CUI UKMGB NOC OCLCO COO YDXCP E7B OCLCF GGVRL OCLCO OCLCQ OCLCO CDX IEDUB DEBBG DEBSZ OCLCQ LOA K6U MAIN QH324 SCI 008000 bisacsh 574.028 23 Advances in network complexity / edited by Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib. [electronic resource] Weinheim, Germany : Wiley-Blackwell, [2013] 1 online resource (xiv, 293 pages .). text txt rdacontent computer c rdamedia online resource cr rdacarrier Quantitative and network biology ; volume 4 Includes bibliographical references and index. 1. Functional complexity based on topology -- 2. Connections between artificial intelligence and conputational complexity and the complexity of graphs -- 3. Selection-based estimates of complexity unravel some mechanisms and selective pressures underlying the evolution of complexity in artificial networks -- 4. Three types of network complexity pyramid -- 5. Computational complexity of graphs -- 6. The linear complexity of a graph -- 7. Kirchhoff's matrix-tree theorem revisited: counting spanning trees with the quantum relative entropy -- 8. Dimension measure for complex networks -- 9. Information-based complexity of networks -- 10. Thermodynamic depth in undirected and directed networks -- 11. Circumscribed complexity in ecological networks -- 12. Metros as biological systems complexity in small real-life networks. A well-balanced overview of mathematical approaches to describe complex systems, ranging from chemical reactions to gene regulation networks, from ecological systems to examples from social sciences. Matthias Dehmer and Abbe Mowshowitz, a well-known pioneer in the field, co-edit this volume and are careful to include not only classical but also non-classical approaches so as to ensure topicality. Overall, a valuable addition to the literature and a must-have for anyone dealing with complex systems. Online resource; title from PDF title page (Wiley, viewed July 24, 2013). Computational biology. Biomedical engineering Mathematical models. SCIENCE Life Sciences Biology. bisacsh Biomedical engineering Mathematical models. fast (OCoLC)fst00832575 Computational biology. fast (OCoLC)fst00871990 Electronic books. Electronic books. local Dehmer, Matthias, 1968- editor. Mowshowitz, Abbe, editor. Emmert-Streib, Frank, editor. Print version: 9783527332915 (UK-RwCLS)352733291X Quantitative and network biology ; v. 4. http://onlinelibrary.wiley.com/book/10.1002/9783527670468 Wiley Online Library ddc BK 206858 206858