The newly arising subject of network science is one of the most up-to-date topics extensively discussed in the last decades. The American Science Foundation has also identified this field as one of the most significant scientific fields, and numerous reputable universities are pursuing network science education earnestly.
Due to its interdisciplinary nature, Network Science is findings way into various disciplines such as medicine, biology, physics, computers, sociology, and economics. Also, many complex systems around us, from the Internet and the cellular network to the network of interactions between individuals in society, are naturally based on network science concepts.
Even though there seems to be no connection between artificial networks like the Internet and natural networks like biological networks, surprisingly, many of the principles and rules governing them are identical. The inspiration behind network science research is this extraordinary resemblance that demonstrates the common roots of dissimilar sciences. In network science, we find that many of the patterns in economics, medicine, information technology, and the social sciences follow similar patterns.
Take the spread of rumors in society or the spread of viruses (like Covid 19) as an example. These contagions all follow the same mathematical patterns. Discovering these patterns raises our hopes to tackle these issues. What is more is that hopefully, by solving one of these problems, the solution can be extended to other disciplines also.
Conference topics (Main theme of Conference):
- Concepts and algorithms of the graph and network science
- Evolutionary models of complex networks
- Network science algorithms: community detection, link prediction, ...
- Complex systems' Modeling
- Tolerance and vulnerability of networks
- Applications of network science in economics
- Applications of network science in modeling social systems and sociology
- Applications of network science in medicine and pharmacology
- Application of network science in management and organizations
- Epidemiological models and biostatics
- Optimization in network science
- Online computing, competitive analysis and game theory in network science
- Deterministic and stochastic models of network formation
- Machine learning algorithms and network science
- Other network science-related topics
All accepted papers will be published electronically in the conference proceedings. After further review, the selected articles will be published in the JAC (Journal of Algorithms and Computation) journal. This rating is for English articles only.
