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*[[An Optimization Algorithm Based on the Small-World Phenomenon]] :Inspired by the efficient search mechanisms of small-world phenomena, we construct an optimization algorithm based on the combination of local and long-range search. | *[[An Optimization Algorithm Based on the Small-World Phenomenon]] :Inspired by the efficient search mechanisms of small-world phenomena, we construct an optimization algorithm based on the combination of local and long-range search. | ||
*[[Community Structure in Small-world and Scale-free Networks]]:The main purposes of this project are to detect the community structure in Watts and Strogatz’s small-world network and Barabàsi’s scale-free network, and to compare these two standard complex networks from the point of view of the community structure. | |||
Revision as of 22:55, 16 June 2006
- Chamisa meta-group: Study of network generation
- WikiPeer Group Study of two reputation voting models
- Biological regulatory networks group Study of biological regulatory networks with stochastic boolean models
- RNAnet a RNA based toy model for regulatory networks
- Time-Delayed Embedding project aimed at learning the method and applying it to interesting datasets.
- Social Networks and Dynamic Analysis: using event-data to model conflict and cooperation networks.
- Power-laws, Conflict and Cooperation: using event-data to investigate whether conflict and cooperation events follow a power-law distribution.
- World Order and Stability: applying foodweb dynamics to model stability in a uni-polar versus a multi-polar world order.
- Negative Event Driven Ethnic Migration : An agent-based model of ethnic migration from negative events. Built with Schelling Dynamics in simultaneous spatial and social network structures.
- Diffusion of "Culture" in a Network with Multiple Types of Ties: An analysis of how rules governing the formation and breaking of ties propagates in a network with two different types of ties associated with different rules.
- An Optimization Algorithm Based on the Small-World Phenomenon :Inspired by the efficient search mechanisms of small-world phenomena, we construct an optimization algorithm based on the combination of local and long-range search.
- Community Structure in Small-world and Scale-free Networks:The main purposes of this project are to detect the community structure in Watts and Strogatz’s small-world network and Barabàsi’s scale-free network, and to compare these two standard complex networks from the point of view of the community structure.