Skip to content. | Skip to navigation

Informatik 5
Information Systems
Prof. Dr. M. Jarke
Sections
Personal tools
You are here: Home Projects Algorithms on Complex Dynamic Networks

Algorithms on Complex Dynamic Networks


Manager(s)
Research field Advanced Community Information Systems (ACIS)
Funding EU LLL Programme, EU FP7, B-IT
Status running

Social Network Analysis on Dynamic Digital Networks

Overview

Social Network Analysis (SNA) is a well established method in sociology. With the advent of the World Wide Web and growing computational power interests grow in analyzing large sets of network data over time. We apply graph theory, dynamic network analysis methodologies and advanced approaches in Web Science to analyze dynamic patterns of human interaction expressed by traces left large scale information systems. Our annual lecture "Web Science" and our "Web Science Seminar" contribute to a sound theoretical basis for student and research work. A couple of prototypes provide support user communities in getting to know their own networks.

AERCSComputer Science NetworkEVA

Case Studies and Prototypes

  • Academic Event Recommender system for Computer Scientists (AERCS)
  • eTwinning Network Visualization (eVA)
  • Wiki Watcher
  • Paladin
  • Weak Signal Analysis in TEL-Map

Research Topics

  • Social Network Analysis (SNA) methodologies
  • Social network modeling
  • Social network patterns and disturbances
  • Complex dynamic network visualization

Results

A relevant reading list on social network analysis

A typical result of our recent research is the dynamic comparison of computer science communities. A computer science conferenced can be compared by time series analysis for typical social network growth patterns like density, diameter, clustering coefficient, largest connected component, average path length and maximum betweenness. In our example we compare the EC-TEL community with the ICALT and the ICWL community. We have a graph visualization of the EC-TEL community over time, a list of key members in the community by apperance to the event, continuity of the conference by publication numbers resp. frequency of contributions and the time series analysis visualization. Such posters can be produced for any conference and journal series in the DBLP index.

Research staff

Former staff

Job openings

Theses

Publications

Document Actions
Project Publications

Mohsen Shahriari, Sebastian Krott, Ralf Klamma

WebOCD: A RESTful Web-based Overlapping Community Detection Framework

the 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2015)

Mohsen Shahriari, Sathvik Parekodi, Ralf Klamma

Community-aware Ranking Algorithms for Expert Identification in Question-Answer Forums

the 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2015)

Mohsen Shahriari, Ralf Klamma

Signed Social Networks: Link Prediction and Overlapping Community Detection

the proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015)

More publications…