TY - BOOK
T1 - 3rd International Winter School and Conference on Network Science
T2 - NetSci-X 2017
AU - Shmueli, Erez
AU - Barzel, Baruch
AU - Puzis, Rami
PY - 2017
Y1 - 2017
N2 - This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field. .
AB - This book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field. .
KW - Applications of Graph Theory and Complex Networks
KW - Bioinformatics
KW - Computational Biology/Bioinformatics
KW - Computational Social Sciences
KW - Computer simulation
KW - Data-driven Science, Modeling and Theory Building
KW - NetSciX
KW - Simulation and Modeling
KW - Social sciences—Computer programs
KW - Social sciences—Data processing
KW - communication networks
KW - network science proceedings
KW - protein interactions
KW - social networks
KW - transportation networks
U2 - 10.1007/978-3-319-55471-6
DO - 10.1007/978-3-319-55471-6
M3 - كتاب
SN - 3319554719
SN - 9783319554716
T3 - Springer Proceedings in Complexity
BT - 3rd International Winter School and Conference on Network Science
PB - Springer International Publishing AG
CY - Cham, Switzerland
ER -