TY  - GEN
AB  - This work makes major contributions to the thriving area of social, communication, and distributed networks by introducing novel methodologies and tools toward the study of the evolutionary behaviors of these networks, as well as their computational complexity and rates of convergence. By departing from the classical approaches and results in the literature, this work shows that it is possible to handle more complex and realistic nonlinear models where either the traditional approaches fail or lead to weak results. The author also develops several easily implementable algorithms, delivering excellent performance guarantees while running faster than those that exist in the literature. The study undertaken and the approaches adopted enable the analysis of the evolution of several different types of social and distributed networks, with the potential to apply to and resolve several other outstanding issues in such networks.
AU  - Etesami, Seyed Rasoul,
CN  - QA76.76.I58
DO  - 10.1007/978-3-319-54289-8
DO  - doi
ID  - 780264
KW  - Multiagent systems.
KW  - Potential theory (Mathematics)
KW  - Online social networks.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-54289-8
N1  - "Doctoral thesis accepted by University of Illinois at Urbana-Champaign, Champaign, USA."
N2  - This work makes major contributions to the thriving area of social, communication, and distributed networks by introducing novel methodologies and tools toward the study of the evolutionary behaviors of these networks, as well as their computational complexity and rates of convergence. By departing from the classical approaches and results in the literature, this work shows that it is possible to handle more complex and realistic nonlinear models where either the traditional approaches fail or lead to weak results. The author also develops several easily implementable algorithms, delivering excellent performance guarantees while running faster than those that exist in the literature. The study undertaken and the approaches adopted enable the analysis of the evolution of several different types of social and distributed networks, with the potential to apply to and resolve several other outstanding issues in such networks.
SN  - 9783319542898
SN  - 3319542893
T1  - Potential-based analysis of social, communication, and distributed networks /
TI  - Potential-based analysis of social, communication, and distributed networks /
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-54289-8
ER  -