Student worker for maintaining and extending our PALADIN service
Job type | HiWi |
---|---|
Extent | 10-15h |
Status | Closed |
Background:
We aim to understand the process of sustainable community building and to find success-critical roles of community members. For this reason, we are using our PALADIN service calculating the patterns of user behaviors in a large number of social network data sets. It also realizes many network analysis algorithms.
Job Description:
This job is focused on maintaining and extending our PALADIN service. In particular, we will calculate new patterns of networks based on complex combinations of structural and content-based measures of Web 2.0 media. In the context of your work you will get the chance to explore the yFiles graph visualization technology (Flex and Java version) as well as to apply the latest network analysis algorithms and technologies.
Benefits:
We aim to understand the process of sustainable community building and to find success-critical roles of community members. For this reason, we are using our PALADIN service calculating the patterns of user behaviors in a large number of social network data sets. It also realizes many network analysis algorithms.
Job Description:
This job is focused on maintaining and extending our PALADIN service. In particular, we will calculate new patterns of networks based on complex combinations of structural and content-based measures of Web 2.0 media. In the context of your work you will get the chance to explore the yFiles graph visualization technology (Flex and Java version) as well as to apply the latest network analysis algorithms and technologies.
Benefits:
- Become member of an international team of motivated researchers and students
- Get directly involved in an interesting international research project
- Gain practical experience in object oriented programming, use Web 2.0 technologies, graph visualization and analysis utilities
- Get access to bleeding-edge hardware & software equipment
Prerequisites
- Good programming skills
- Experience in object oriented programming (Java) and open standard Web technologies (e.g. JavaScript, Ajax, Flex)
- High motivation for interdisciplinary teamwork over a longer period