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020 _a9783319161129
_9978-3-319-16112-9
024 7 _a10.1007/978-3-319-16112-9
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aComplex Networks VI
_h[electronic resource] :
_bProceedings of the 6th Workshop on Complex Networks CompleNet 2015 /
_cedited by Giuseppe Mangioni, Filippo Simini, Stephen Miles Uzzo, Dashun Wang.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aX, 232 p. 74 illus., 52 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v597
505 0 _aA Flexible Fitness Function for Community Detection in Complex Networks -- Finding network motifs using MCMC sampling -- Analysis of the Robustness of Degree Centrality against Random Errors in Graphs -- A Model for Ambiguation and an Algorithm for Disambiguation in Social Networks -- Measuring the Generalized Friendship Paradox in Networks with Quality-dependent Connectivity -- Expected Nodes: a quality function for the detection of link communities -- Core-Periphery Models for Graphs Based on their -Hyperbolicity: An Example Using Biological Networks -- Fast Optimization of Hamiltonian for Constrained Community Detection -- Selecting Seed Nodes for Influence Maximization in Dynamic Networks -- Neighbourhood Distinctiveness: an initial study -- An Efficient Estimation of a Node's Between ness -- Sentiment Classification Analysis of Chinese Microblog Network -- Techniques for Brain Functional Connectivity Analysis from High Resolution Imaging -- A Two-Parameter Method to Characterize the Network Reliability for Diffusive Processes -- Analysis of the Effects of Communication Delay in the Distributed Global Connectivity Maintenance of a Multi-Robot System -- Inter-Layer Degree Correlations in Heterogeneously Growing Multiplex Networks -- Dynamics of Conflicting Beliefs in Social Networks -- Building Mini-Categories in Product Networks -- Categorical Framework for Complex Organizational Networks: Understanding the Effects of Types, Size, Layers, Dynamics and Dimensions -- Studying Reciprocity and Communication Probability Ratio in Weighted Phone Call Ego Networks -- NetSci High: Bringing Network Science Research to High Schools -- Terrorism Dynamics on Complex Networks: Group Polarization vs Social Integration -- From Criminal Spheres of Familiarity to Crime Networks -- Communication Probability Ratio in Weighted Phone Call Ego Networks -- NetSci High: Bringing Network Science Research to High Schools -- Terrorism Dynamics on Complex Networks: Group Polarization vs Social Integration -- From Criminal Spheres of Familiarity to Crime Networks -- Communication Probability Ratio in Weighted Phone Call Ego Networks -- NetSci High: Bringing Network Science Research to High Schools -- Terrorism Dynamics on Complex Networks: Group Polarization vs Social Integration -- From Criminal Spheres of Familiarity to Crime Networks.
520 _aElucidating the spatial and temporal dynamics of how things connect has become one of the most important areas of research in the 21st century. Network science now pervades nearly every science domain, resulting in new discoveries in a host of dynamic social and natural systems, including: how neurons connect and communicate in the brain, how information percolates within and among social networks, the evolution of science research through co-authorship networks, the spread of epidemics, and many other complex phenomena. Over the past decade, advances in computational power have put the tools of network analysis in the hands of increasing numbers of scientists, enabling more explorations of our world than ever before possible. Information science, social sciences, systems biology, ecosystems ecology, neuroscience and physics all benefit from this movement, which combines graph theory with data sciences to develop and validate theories about the world around us. This book brings together cutting-edge research from the network science field and includes diverse and interdisciplinary topics such as: modeling the structure of urban systems, behavior in social networks, education and learning, data network architecture, structure and dynamics of organizations, crime and terrorism, as well as network topology, modularity and community detection.
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aMangioni, Giuseppe.
_eeditor.
700 1 _aSimini, Filippo.
_eeditor.
700 1 _aUzzo, Stephen Miles.
_eeditor.
700 1 _aWang, Dashun.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319161112
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v597
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-16112-9
912 _aZDB-2-ENG
942 _cEBK
999 _c54122
_d54122