Developmental time windows for spatial growth generate multiple-cluster small-world networks
نویسندگان
چکیده
منابع مشابه
Developmental time windows for spatial growth generate multiple-cluster small-world networks
Many networks extent in space, may it be metric (e.g. geographic) or non-metric (ordinal). Spatial network growth, which depends on the distance between nodes, can generate a wide range of topologies from small-world to linear scale-free networks. However, networks often lacked multiple clusters or communities. Multiple clusters can be generated, however, if there are time windows during develo...
متن کاملDevelopment of multi-cluster cortical networks by time windows for spatial growth
Many neural networks, such as the complex cortical networks of the mammalian brain, are organized in multiple clusters, with many connections within but few links between clusters. To generate this organization, we explored a wiring rule in which the establishment of a connection between two areas depended on the areas’ distance as well as their respective time windows for connection establishm...
متن کاملGenerating small-world, scale-free, and multi-cluster spatial networks
Almost all real-world networks are distributed in space. In many of these networks, more short-than long-distance connections exist. Thus, there is a preference to minimize the length of connections. Such networks often exhibit properties of small-world, scale-free or multi-clustered networks. However, previous models for development, where only distance between nodes is considered when establi...
متن کاملSpatial growth of real-world networks.
Many real-world networks have properties of small-world networks, with clustered local neighborhoods and low average-shortest path. They may also show a scale-free degree distribution, which can be generated by growth and preferential attachment to highly connected nodes, or hubs. However, many real-world networks consist of multiple, interconnected clusters not normally seen in systems grown b...
متن کاملMultiple Scales in Small-World Networks
Small-world architectures may be implicated in a range of phenomena from networks of neurons in the cerebral cortex to social networks and propogation of viruses [1]-[2]. Small-world networks are interpolations of regular and random networks that retain the advantages of both regular and random networks by being highly clustered like regular networks and having small average path length between...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The European Physical Journal B
سال: 2007
ISSN: 1434-6028,1434-6036
DOI: 10.1140/epjb/e2007-00214-4