Title : Understanding the emerging dynamics in complex agent-based dynamic networks
| Presenter | Alexei Sharpanskykh |
| Abstract | In this talk I’ll propose methods for analysis of agent-based social contagion models with underlying dynamic networks of different types (scale-free, random). Such models may be used to describe social decision making, opinion formation, spread of diseases and innovation. An essential feature of social contagion models with dynamic links is the ability to form clusters. I’ll discuss how clustering of agents can be investigated by simulation, analytically and by model abstraction. |
Title : A Slightly Different Web of Data
| Presenter | Rinke Hoekstra |
| Abstract | The Data2Semantics project (COMMIT P23) is all about enriching research data, and making it more reusable for future research. Using Linked Data for this task is a fairly obvious step to make (surprise!). However, there are several shortcomings the current practices in publishing Linked Data, that calls for a slightly different approach which (hopefully) bridges a gap between Web 2.0 and Web 3.0. I will present a proof-of-concept service (Linkitup) that works on top of existing scientific data repositories, and allows individual researchers to enrich their data with additional (linked) metadata. |