Network morphospace.
Network morphospace.
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DOI：
10.1098/rsif.2014.0881
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发表时间：
2015-02-06
期刊：
影响因子：
--
通讯作者：
Sporns O
中科院分区：
文献类型：
--
作者：
Avena-Koenigsberger A;Goñi J;Solé R;Sporns O
近年来，复杂网络的结构问题引起了人们的广泛关注。已经注意到，许多网络系统的真实示例共享一组共同的架构特征。这就提出了关于其起源的重要问题，例如，这些网络属性是否反映了共同的设计原则或选择性力量所施加的限制，这些选择性力量塑造了网络拓扑结构的演变。有没有可能将复杂网络的多种模式和形式置于一个揭示它们之间关系的共同空间中，以及决定实际进化的系统在这样一个空间中占据哪些位置的主要规则和驱动力是什么？我们认为，这些问题可以通过结合两个目前相对不相关的领域的概念来解决。一种是理论形态学，它将生物形态的数学模型所定义的形态特征之间的关系概念化。第二个是网络科学，它提供了许多定量工具来测量和分类不同类型系统中的本地和全球网络架构的不同模式。在这里，我们探讨了一个新的理论概念，位于两个领域之间的交叉点，“网络形态”。由代表特定网络特征的轴定义，这样的空间内的每个点代表网络所占据的位置，这些网络共享一组与其连接性相关的共同“形态”特征。映射网络形态空间揭示了空间被现有网络填充的程度，从而区分实际和不可能的设计，并突出了贯穿复杂系统演化的规则和约束的生成潜力。
The structure of complex networks has attracted much attention in recent years. It has been noted that many real-world examples of networked systems share a set of common architectural features. This raises important questions about their origin, for example whether such network attributes reflect common design principles or constraints imposed by selectional forces that have shaped the evolution of network topology. Is it possible to place the many patterns and forms of complex networks into a common space that reveals their relations, and what are the main rules and driving forces that determine which positions in such a space are occupied by systems that have actually evolved? We suggest that these questions can be addressed by combining concepts from two currently relatively unconnected fields. One is theoretical morphology, which has conceptualized the relations between morphological traits defined by mathematical models of biological form. The second is network science, which provides numerous quantitative tools to measure and classify different patterns of local and global network architecture across disparate types of systems. Here, we explore a new theoretical concept that lies at the intersection between both fields, the ‘network morphospace’. Defined by axes that represent specific network traits, each point within such a space represents a location occupied by networks that share a set of common ‘morphological’ characteristics related to aspects of their connectivity. Mapping a network morphospace reveals the extent to which the space is filled by existing networks, thus allowing a distinction between actual and impossible designs and highlighting the generative potential of rules and constraints that pervade the evolution of complex systems.
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影响因子：
4.3
作者：
Achard S;Bullmore E
通讯作者：
Bullmore E
影响因子：
19.6
作者：
通讯作者：
--
影响因子：
8.6
作者：
Colizza, V;Banavar, JR;Rinaldo, A
通讯作者：
Rinaldo, A
DOI：
10.1098/rstb.2013.0530
发表时间：
2014-10-05
期刊：
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子：
--
作者：
Avena-Koenigsberger A;Goñi J;Betzel RF;van den Heuvel MP;Griffa A;Hagmann P;Thiran JP;Sporns O
通讯作者：
Sporns O
影响因子：
2.4
作者：
Estrada, Ernesto
通讯作者：
Estrada, Ernesto