شماره ركورد كنفرانس :
3926
عنوان مقاله :
Optimization Problems in Complex Networks: Challenges and Directions
پديدآورندگان :
Shakibian Hadi hadi.shakibian@modares.ac.ir Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran, Iran , Moghadam Charkari Nasrollah moghadam@modares.ac.ir Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran, Iran
كليدواژه :
Complex Networks , Network Modeling , Graph Sampling , Community Detection , Link Prediction, Influence Maximization.
عنوان كنفرانس :
بيست و چهارمين كنفرانس مهندسي برق ايران
چكيده فارسي :
Many real-world phenomena can be intelligently modeled with complex networks. In this study, the most important optimization issues in complex networks are reviewed including network modeling, network sampling, network partitioning, link prediction, and influence maximization. For each issue, some conventional methods are firstly studied. Then, the most important challenges and future directions would be discussed
