Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
An introduction to genetic algorithms
An introduction to genetic algorithms
Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A viewpoint-based approach for interaction graph analysis
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
An event-based framework for characterizing the evolutionary behavior of interaction graphs
ACM Transactions on Knowledge Discovery from Data (TKDD)
A tool for IT process construction
Information and Software Technology
Aggregate Diffusion Dynamics in Agent-Based Models with a Spatial Structure
Operations Research
Expert Systems with Applications: An International Journal
An agent-based simulation model for the market diffusion of a second generation biofuel
Winter Simulation Conference
Comparing Strategies of Collaborative Networks for R&D: An Agent-Based Study
Computational Economics
Hi-index | 0.00 |
We investigate the spread of innovations on a social network. The network consists of agents that are exposed to the introduction of a new product. Consumers decide whether or not to buy the product based on their own preferences and the decisions of their neighbors in the social network. We use and extend concepts from the literature on epidemics and herd behavior to study this problem. The central question of this paper is whether firms can learn about the network structure and consumer characteristics when only limited information is available, and use this information to evolve a successful directed-advertising strategy. In order to do so, we extend existing models to allow for heterogeneous agents and both positive and negative externalities. The firm can learn a directed-advertising strategy that takes into account both the topology of the social consumer network and the characteristics of the consumer. Such directed-advertising strategies outperform random advertising.