Model of mobile agents for sexual interactions networks

Abstract

We present a novel model to simulate real social networks of complex interactions, based in a granular system of colliding particles (agents). The network is build by keeping track of the collisions and evolves in time with correlations which emerge due to the mobility of the agents. Therefore, statistical features are a consequence only of local collisions among its individual agents. Agent dynamics is realized by an event-driven algorithm of collisions where energy is gained as opposed to granular systems which have dissipation. The model reproduces empirical data from networks of sexual interactions, not previously obtained with other approaches.

6 pages, 8 figures

References in corpus (6)

• Emergence of scaling in random networks
• Statistical mechanics of complex networks
• The structure and function of complex networks
• Specificity and stability in topology of protein networks
• The Web of Human Sexual Contacts
• Self-Similarity in Random Collision Processes

Cited by in corpus (6)

• Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
• Social Dilemmas and Cooperation in Complex Networks
• Consensus formation on coevolving networks: groups' formation and structure
• New approaches to model and study social networks
• A general model for collaboration networks
• Interplay between HIV/AIDS Epidemics and Demographic Structures Based on Sexual Contact Networks