Centrality metrics evaluate paths between all possible pairwise combinations of sites on a landscape to rank the contribution of each site to facilitating ecological flows across the network of sites. Computational advances now allow application of centrality metrics to landscapes represented as continuous gradients of habitat quality. This avoids the binary classification of landscapes into pa...

Starting from an empirical analysis of the network structure of the Austrian inter-bank market, we study the flow of funds through the banking network following exogenous shocks to the system. These shocks are implemented by stochastic changes in variables like interest rates, exchange rates, etc. We demonstrate that the system is relatively stable in the sence that defaults of individual banks...

Financial market has been investigated from many perspectives. The recent emerging financial network methods model the market as a network. The edge between two vertices, or two equities are modeled as the correlation coefficient of the return on the prices of two equities in a period. A common question one can pose is that how can we determine the importance of an equity in the market. From a ...

We analyze whether preferential attachment in scientific coauthorship networks is different for authors with different forms of centrality. Using a complete database for the scientific specialty of research about ―steel structures,‖ we show that betweenness centrality of an existing node is a significantly better predictor of preferential attachment by new entrants than degree or closeness cent...

The centrality of vertices has been a key issue in network analysis. For unweighted networks where edges are just present or absent and have no weight attached, many centrality measures have been presented, such as degree, betweenness, closeness, eigenvector and subgraph centrality. There has been a growing need to design centrality measures for weighted networks, because weighted networks wher...

The research examined individual differences in people’s propensity to connectwith others (PCO). Ameasure of PCO, with components for making friends (strong ties), making acquaintances (weak ties), and joining others (bridging ties), was developed and tested in two studies involving 144 undergraduates and 197 health-care employees. PCO and its components were significantly positively associated...

A citation-based indicator for interdisciplinarity has been missing hitherto among the set of available journal indicators despite the high policy-relevance of “interdisciplinarity” (Laudel & Origgi, 2006; Wagner et al., 2010). None of the more recent additions to the set of journal indicators has focused specifically on interdisciplinarity (Zitt, 2005). Leydesdorff (2007) experimented with bet...

The structure entropy is one of the most important parameters to describe the structure property of the complex networks. Most of the existing structure entropies are based on the degree or the betweenness centrality. In order to describe the structure property of the complex networks more reasonably, a new structure entropy of the complex networks based on the Tsallis nonextensive statistical ...

The betweenness centrality index is essential in the analysis of social networks, but costly to compute. Currently, the fastest known algorithms require Θ(n) time and Θ(n) space, where n is the number of actors in the network. Motivated by the fast-growing need to compute centrality indices on large, yet very sparse, networks, new algorithms for betweenness are introduced in this paper. They re...

Background and Objectives: While social network analysis has left a remarkable practical impact in the healthcare field, the potential implication of this methodology in the primary health domain is poorly researched. Hence, this study aimed to explore the use and usefulness social network analysis in the context of primary health care. Methods: The health volunteers of Imam Ali Health Center...