Some Combinatorial Problems in Power-Law Graphs

被引:0
作者
Jiang, Che [1 ,2 ,3 ]
Xu, Wanyue [1 ,2 ]
Zhou, Xiaotian [1 ,2 ]
Zhang, Zhongzhi [1 ,2 ]
Kan, Haibin [1 ,2 ]
机构
[1] Fudan Univ, Sch Comp Sci, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
[2] Fudan Univ, Shanghai Engn Res Inst Blockchain, Shanghai 200433, Peoples R China
[3] Fudan Univ, Dept Phys, Shanghai 200433, Peoples R China
基金
中国国家自然科学基金;
关键词
maximum matching; maximum independence set; minimum dominating set; matching number; independence number; domination number; scale-free network; complex network; MAXIMUM INDEPENDENT SET; SCALE-FREE WEB; DOMINATING-SET; PERFECT MATCHINGS; NUMBER; CONTROLLABILITY; NETWORKS; DYNAMICS;
D O I
10.1093/comjnl/bxab007
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The power-law behavior is ubiquitous in a majority of real-world networks, and it was shown to have a strong effect on various combinatorial, structural and dynamical properties of graphs. For example, it has been shown that in real-life power-law networks, both the matching number and the domination number are relatively smaller, compared with homogeneous graphs. In this paper, we study analytically several combinatorial problems for two power-law graphs with the same number of vertices, edges and the same power exponent. For both graphs, we determine exactly or recursively their matching number, independence number, domination number, the number of maximum matchings, the number of maximum independent sets and the number of minimum dominating sets. We show that power-law behavior itself cannot characterize the combinatorial properties of a heterogenous graph. Since the combinatorial properties studied here have found wide applications in different fields, such as structural controllability of complex networks, our work offers insight in the applications of these combinatorial problems in power-law graphs.
引用
收藏
页码:1679 / 1691
页数:13
相关论文
共 44 条
[1]   Error and attack tolerance of complex networks [J].
Albert, R ;
Jeong, H ;
Barabási, AL .
NATURE, 2000, 406 (6794) :378-382
[2]   A maximum independent set approach for collusion detection in voting pools [J].
Araujo, Filipe ;
Farinha, Jorge ;
Domingues, Patricio ;
Silaghi, Gheorghe Cosmin ;
Kondo, Derrick .
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2011, 71 (10) :1356-1366
[3]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[4]   Epidemic thresholds in real networks [J].
Chakrabarti, Deepayan ;
Wang, Yang ;
Wang, Chenxi ;
Leskovec, Jurij ;
Faloutsos, Christos .
ACM TRANSACTIONS ON INFORMATION AND SYSTEM SECURITY, 2008, 10 (04)
[5]  
Chao S, 2010, INT C COMP LING, P984
[6]   Finding a Maximum Matching in a Sparse Random Graph in O(n) Expected Time [J].
Chebolu, Prasad ;
Frieze, Alan ;
Melsted, Pall .
JOURNAL OF THE ACM, 2010, 57 (04)
[7]   The average distances in random graphs with given expected degrees [J].
Chung, F ;
Lu, LY .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (25) :15879-15882
[8]   On Approximating Maximum Independent Set of Rectangles [J].
Chuzhoy, Julia ;
Ene, Alina .
2016 IEEE 57TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS), 2016, :820-829
[9]  
Dehmer M, 2011, STRUCTURAL ANALYSIS OF COMPLEX NETWORKS, P1, DOI 10.1007/978-0-8176-4789-6
[10]   On the hardness of optimization in power-law graphs [J].
Ferrante, Alessandro ;
Pandurangan, Gopal ;
Park, Kihong .
THEORETICAL COMPUTER SCIENCE, 2008, 393 (1-3) :220-230