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DOI	10.1126/science.aai7488
	The fundamental advantages of temporal networks
	Li A.; Cornelius S.P.; Liu Y.-Y.; Wang L.; Barabási A.-L.
发表日期	2017
ISSN	0036-8075
起始页码	1042
结束页码	1046
卷号	358 期号:6366
英文摘要	Most networked systems of scientific interest are characterized by temporal links, meaning the network’s structure changes over time. Link temporality has been shown to hinder many dynamical processes, from information spreading to accessibility, by disrupting network paths. Considering the ubiquity of temporal networks in nature, we ask: Are there any advantages of the networks’ temporality? We use an analytical framework to show that temporal networks can, compared to their static counterparts, reach controllability faster, demand orders of magnitude less control energy, and have control trajectories, that are considerably more compact than those characterizing static networks. Thus, temporality ensures a degree of flexibility that would be unattainable in static networks, enhancing our ability to control them. © 2017, American Association for the Advancement of Science. All rights reserved.
英文关键词	accessibility; analytical framework; network analysis; numerical model; parameterization; temporal analysis; Article; chemical reaction; energy absorption; mathematical analysis; mathematical parameters; natural science; network learning; priority journal; protein binding; social network; structure analysis; community care; human; time factor; trends; Community Networks; Humans; Time Factors
语种	英语
来源期刊	Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/244526
作者单位	Center for Complex Network Research, Department of Physics, Northeastern University, Boston, MA 02115, United States; Center for Systems and Control, College of Engineering, Peking University, Beijing, 100871, China; Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, United States; Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, MA 02115, United States; Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, United States; Center for Network Science, Central European University, Budapest, 1052, Hungary
推荐引用方式 GB/T 7714	Li A.,Cornelius S.P.,Liu Y.-Y.,et al. The fundamental advantages of temporal networks[J],2017,358(6366).
APA	Li A.,Cornelius S.P.,Liu Y.-Y.,Wang L.,&Barabási A.-L..(2017).The fundamental advantages of temporal networks.Science,358(6366).
MLA	Li A.,et al."The fundamental advantages of temporal networks".Science 358.6366(2017).