Publications

From Nemo

NEMO Working Papers

• NEMO WP#1: Michael J. Barber and Thomas Roediger-Schluga, Typology of Framework Programme projects and subnetworks using spectral graph methods

• NEMO WP#2: Thomas Roediger-Schluga and Bernhard Dachs, Does technology affect network structure? A quantitative analysis of collaborative research projects in two specific EU programmes

• NEMO WP#3: Thomas Roediger-Schluga and Michael J. Barber, The structure of R&D collaboration networks in the European Framework Programmes

• NEMO WP#4: Terhi Nokkala, Network building, motivation and learning in inter-organisational R&D collaboration projects - Theoretical considerations

• NEMO WP#5: Robin Cowan, Nicolas Jonard and Bulat Sanditov, Collaboration motives and network formation rules

• NEMO WP#6: Lena Kruckenberg, Andreas Brandes and Petra Ahrweiler, R&D Governance Rules of the EU Framework Programmes: The EURuleD Archive

• NEMO WP#7: Manfred Paier, Petra Ahrweiler, Andreas Pyka, Nicolas Jonard, Towards a common framework for knowledge production and diffusion

• NEMO WP#8: Petra Wagner-Luptacik, Barbara Heller-Schuh, Manfred Paier, Jeannette Müller, Integrated Projects in FP6: Intra-project linkages and project performance

• NEMO WP#9: Michael Barber, Margarida Faria, Ludwig Streit, Oleg Strogan, Searching for Communities in Bipartite Networks

• NEMO WP#10: Manfred Paier and Thomas Scherngell, Determinants of collaboration in European R&D networks: Empirical evidence from a binary choice model perspective

• NEMO WP#11: Andreas Pyka and Ramon Scholz, A narrative Description of the Agent Based NEMO-Model

• NEMO WP#12: Michael J. Barber, Ludwig Streit, and Oleg Strogan Empirical Analysis of EU-Funded Collaborative R&D Networks

• NEMO WP#13: Terhi Nokkala, Barbara Heller-Schuh, Manfred Paier, Petra Wagner-Luptacik, Internal Integration and Collaboration in European R&D Projects

• NEMO WP#14: Sascha Delitzscher, Andreas Krüger, Tyll Krüger, The communication index of graphs

• NEMO WP#15: Terhi Nokkala, Internal collaboration rules

• NEMO WP#16: Oleg Strogan and Ludwig Streit, Netzcope - A Tool to Display and Analyze Complex Networks

• NEMO WP#17: Terhi Nokkala, Collaboration patterns and motives in NEST/FP6 projects - Final Report

• NEMO WP#18: Philippe Blanchard, Sascha Delitzscher, Andreas Krüger, Tyll Krüger, Rainer Siegmund-Schultze, Knowledge Transmission Processes with Local Thresholds and Coupling to Mean Field Processes

• NEMO WP#19: Barbara Heller-Schuh, Michael J. Barber, The dynamics of actor configurations in public R&D programmes

• NEMO WP#20: Terhi Nokkala, Barbara Heller-Schuh, Manfred Paier, Ranking lists and European Framework Programmes: Does university status matter for performance in Framework Programmes?

Related Publications

• Michael Barber, Manfred Paier and Thomas Scherngell, "Analyzing and Modeling European R&D Collaborations: Challenges and Opportunities from a Large Social Network", In: M. Dehmer and F. Emmert-Streib, Analysis of Complex Networks: From Biology to Linguistics. Weinheim, Wiley-Blackwell: 401-423, 2009.

• Matthias Dehmer, Information-theoretic Concepts for the Analysis of Complex Networks, Applied Artificial Intelligence, 2008, accepted

• Michael J. Barber, "Modularity and community detection in bipartite networks," Phys. Rev. E 76, 066102 (2007), download implementation of described algorithms

• Thomas Roediger-Schluga, Michael J. Barber, "R&D collaboration networks in the European Framework Programmes: Data processing, network construction and selected results", IJFIP Special Issue on “Innovation Networks”, 2007, accepted

• Matthias Dehmer, Structural Analysis of Complex Networks: Theory and Applications, Birkhaeuser Publishing Boston (USA), to appear, 2008

• Matthias Dehmer, Frank Emmert-Streib, Structural Information Content of Chemical Networks, Zeitschrift für Naturforschung A, 2007, accepted

• Matthias Dehmer, Frank Emmert-Streib, Structural Information Content of Networks: Graph Entropy based on Local Vertex Functionals, Computational Biology and Chemistry , 2007, accepted

• Matthias Dehmer, A Novel Method for Measuring the Structural Information Content of Networks, Cybernetics and Systems, 2007, accepted

• Frank Emmert-Streib, Matthias Dehmer, "Analysis of Microarray Data: A Network-Based Approach," Wiley-VCH, 2008

• Frank Emmert-Streib, Matthias Dehmer, Global information processing in gene networks: Fault Tolerance, Proc. Workshop on Computing and Communications from Biological Systems: Theory and Applications, 2007, accepted

• Frank Emmert-Streib, Matthias Dehmer, Optimization Procedure for Predicting Nonlinear Time Series based on a non-Gaussian Noise Model, MICAI 2007: Advances in Artificial Intelligence, Lecture Notes in Computes Science (LNCS), Lecture Notes in Artificial Intelligence, 2007, accepted

• Frank Emmert-Streib, Matthias Dehmer, Nonlinear Time Series Prediction based on a Power-Law Noise Model, International Journal of Modern Physics C, 2007, accepted

• Matthias Dehmer, Frank Emmert-Streib and Tanja Gesell, A Comparative Analysis of Multidimensional Features of Objects Resembling Sets of Graphs, Applied Mathematics and Computation, 2007, in press

• Matthias Dehmer, Alexander Mehler and Frank Emmert-Streib, Graph-theoretical Characterizations of Generalized Trees, Proceedings of the International Conference on Machine Learning: Models, Technologies & Applications, USA, 2007

• Matthias Dehmer, Frank Emmert-Streib, and Andreas Zulauf, A Graph Mining Technique for Automatic Classification of Web Genre Data, Proceedings of the International Conference on Machine Learning: Models, Technologies & Applications, USA, 2007

• Andreas Krueger, "Structures, processes, and clustering of complex networks", Dissertation 2007/2008, Fakultät für Physik Uni Bielefeld, http://bieson.ub.uni-bielefeld.de/volltexte/2008/1247/