Purpose The purpose of this paper is to examine the production of smart tourism knowledge,
thereby revealing the development of the concept through collaborative networks …

This article proposes an innovative theoretical framework that combines institutional and
policy network approaches to study multi-level governance. The framework is used to derive …

Many algorithms have been developed to detect communities in networks. The success of
these developed algorithms varies according to the types of networks. A community …

Modularity, since its introduction, has remained one of the most widely used metrics to
assess the quality of community structure in a complex network. However the resolution limit …

Community structures are ubiquitous in various complex networks, implying that the
networks commonly be composed of groups of nodes with more internal links and less …

Catchment classification is useful for a variety of purposes in hydrologic, environmental, and
ecosystem studies. In the context of classification, the concept of community structure, within …

The pharmacopeia used by physicians and laypeople in medieval Europe has largely been
dismissed as placebo or superstition. While we now recognize that some of the materia …

The structure of neural circuitry plays a crucial role in brain function. Previous studies of
brain organization generally had to trade off between coarse descriptions at a large scale …

Optimizing statistical measures for community structure is one of the most popular strategies
for community detection, but many of them lack the flexibility of resolution and thus are …

Catchment classification aids in the identification of homogeneous regions in which
catchments have similar flood timing and corresponding climatic drivers. As a new …