EVOLVE International Conference

EVOLVE 2015 June 18-24
Iasi, Romania

HomeTracks and sessionsComplex Networks and Landscape Analysis

Complex Networks and Landscape Analysis

Special Track EVOLVE 2015

Michael T. M. Emmerich (Leiden University) and Asep Maulana (Leiden University)

This track focuses on computational methods for complex network analysis and the closely related topic of landscape analysis.

In complex network analysis the subject of study are properties of networks the constituents of which are rather simple, but the dynamics are complex due to emergent behavior. Applications range from biological systems to the study of social networks and parallel processes in computer science. Typical problems are system identification and design, as well as finding explanations for emerging behavior and computational aspects.


The metaphor of a (fitness) landscape is used in biology and bio-inspired optimization to describe neighborhood systems equipped with one or many potential functions (e.g. fitness, free energy, objective function). The purpose in landscape analysis is to find stable points in biological and chemical systems, characterize problem difficulty in bio-inspired optimization, or to understand evolutionary dynamics. The canonical representation of landscapes in discrete configuration spaces are node-weighted networks, or generalizations of it (such as hypergraphs).

Both topics are closely related: Whereas in the first is more concerned with dynamical aspects the second deals with static analysis of networks. In this track we look for contribution to the topic of complex network and landscape analysis, including:

  1. Computational methods for network identification and analysis
  2. Finding motifs and patterns in large (dynamical) networks
  3. Identification of biological and gene regulatory networks
  4. Neighborhood systems, pre-topologies, and generalizations of graphs
  5. Fast enumeration of networks and trees; combinatorial state space size
  6. Design and optimization of complex networks
  7. Landscape analysis: e.g. adaptive walk statistics, barrier trees, local optima networks,
  8. Community Detection and Graph Clustering
  9. Growth of networks; scale free networks; small worlds;
  10. Real-world applications, e.g. in logistics and bioinformatics


Please submit your contribution before February 1, 2015 (check for updates on website).

Full papers and extended abstracts are possible forms of contribution. Every accepted paper will be orally presented on the EVOLVE 2015 event in Iasi and full papers will be published in the Springer proceedings. Extended abstracts will be published in the short paper proceedings with ISBN/ISSN. All papers will be reviewed in a single-blind review process.  Submission EVOLVE2015, EASYCHAIR via the main system and indicate the track in the submission.


For questions please send email to Dr. Michael Emmerich (This email address is being protected from spambots. You need JavaScript enabled to view it. ).

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