Recent Progress in Some Active Topics on Complex Networks
被引:2
作者:
Gu, J.
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机构:
Jiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Huazhong Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R ChinaJiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Gu, J.
[1
,2
]
Zhu, Y.
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机构:
Huazhong Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China
ISMANS, Lab Phys Stat & Syst Complexes, F-72000 Le Mans, FranceJiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Zhu, Y.
[2
,3
]
Guo, L.
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机构:
China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R ChinaJiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Guo, L.
[4
]
Jiang, J.
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机构:
Wuhan Text Univ, Res Ctr Nonlinear Sci, Wuhan 430200, Peoples R China
Wuhan Text Univ, Coll Math & Comp Sci, Wuhan 430200, Peoples R ChinaJiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Jiang, J.
[5
,6
]
Chi, L.
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机构:
Huazhong Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R ChinaJiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Chi, L.
[2
]
Li, W.
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机构:
Huazhong Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R ChinaJiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Li, W.
[2
]
Wang, Q. A.
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机构:
ISMANS, Lab Phys Stat & Syst Complexes, F-72000 Le Mans, FranceJiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Wang, Q. A.
[3
]
Cai, X.
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机构:
Huazhong Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R ChinaJiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
Cai, X.
[2
]
机构:
[1] Jiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
[2] Huazhong Normal Univ, Coll Phys Sci & Technol, Wuhan 430079, Peoples R China
[3] ISMANS, Lab Phys Stat & Syst Complexes, F-72000 Le Mans, France
[4] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China
[5] Wuhan Text Univ, Res Ctr Nonlinear Sci, Wuhan 430200, Peoples R China
[6] Wuhan Text Univ, Coll Math & Comp Sci, Wuhan 430200, Peoples R China
来源:
4TH INTERNATIONAL WORKSHOP ON STATISTICAL PHYSICS AND MATHEMATICS FOR COMPLEX SYSTEMS (SPMCS2014)
|
2015年
/
604卷
Complex networks have been extensively studied across many fields, especially in interdisciplinary areas. It has since long been recognized that topological structures and dynamics are important aspects for capturing the essence of complex networks. The recent years have also witnessed the emergence of several new elements which play important roles in network study. By combining the results of different research orientations in our group, we provide here a review of the recent advances in regards to spectral graph theory, opinion dynamics, interdependent networks, graph energy theory and temporal networks. We hope this will be helpful for the newcomers of those fields to discover new intriguing topics.