The aim of this paper is to simulate profit expectations as an emergent property using an agent based model. The paper builds upon adaptive expectations, interactive expectations and small world networks, combining them into a single adaptive interactive profit expectations model (AIE)....

The influence of six different distances on the structure of minimum spanning trees is presented in this paper. Measures of complex networks are built based on the closing prices of stocks of the main companies traded on the Mexican Stock Market. We find that the City block and Chi distances not...

The paper discusses opportunities to utilize the series of micro-blogs as provided by the Twitter in observation of opinion dynamics. The spontaneity of tweets is more, as the service is attached more to the mobile communications. The extraction of information in the series of tweets is...

Dynamic processes in complex networks have received much attention. This attention reflects the fact that dynamic processes are the main source of changes in the structural properties of complex networks (e.g., clustering coefficient and average shortest-path length). In this paper, we develop...

The aim of this paper is to demonstrate that dynamic paths in a model of discrete choice with social interactions, which have been developed by Brock and Durlauf (1999, 2001a, 2001b, 2006), converge some self-consistent equilibrium. To this aim, we propose an asynchronous model of...

The focus of this study is on black markets which provide an important segment of the parallel economy. These markets operate in disequilibrium,search and information costs become very important.Trafficking in drugs taken as case, to explore both theoretically and empirically. The problem,...

In this work we analyse the resilience of industrial districts to exogenous economic shocks. Firstly, we define a basic industrial district through a set of assumptions which prove to be critical for systemic risk in the event of a financial shock. In the course of the work we progressively...

People-to-people interactions in the real world and in virtual environments (e.g., Facebook) can be represented through complex networks. Changes of the structural properties of these complex networks are caused through a variety of dynamic processes. While accepting the fact that variability in...

Social networks can be differentiated according to the type of entities (i.e., humans or objects) that are represented within them. These networks can be called human networks and social object networks, respectively. Actors in human networks can act strategically to maximize their own payoffs...

The power of using knowledge against competitors is a key success factor in the information age. However, the knowledge itself is not the source of competitive advantage for an organization; rather its power lies in its use. In a learning organization, collective knowledge of the individuals is...