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Dr. Jérôme Kunegis

B 122
+49 261 287-2775
kunegis@uni-koblenz.de

Complete CV

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Interests

When I passed my PhD in Koblenz, my colleagues gave my a t-shirt that summarizes my research interests. On it was written "Everything is a Network". My research interests indeed follow these lines:

Other interests of me include:

  • Web Science
    • Beside being part of the Institute for Web Science and Technologies at the University of Koblenz–Landau, I have been involved with the organization of the Web Science Conference and related Web Science workshops, and am also involved on multiple projects in which aspects of social sciences play a role. I have also been present on the Web Science conference roster since 2011.
  • Interestingness on Twitter
    • Since 2010, I have written multiple papers about the notion of interestingness as applied to postings on Twitter.
  • Tensor decomposition and joint diagonalization
    • In addition to matrix decomposition methods for graphs, I have written multiple papers on the use of tensor factorization and related methods to analyse graphs.

My Name

The correct spelling of my name is Jérôme Kunegis, including an acute accent on the first E and a circumflex accent on the O. I do not have other first names or a middle name.

The pronunciation of my name is [ʒe.ʁoːm ky.ne.ʒis] in French and [ʒə.ˈʁoːm ku.ˈneː.ɡɪs] in German. (See French and German phonology)

Publications

2016
Tödtli, B., Laner, M., Semenov, J., Paoli, B., Blattner, M., & Kunegis, J. (2016). Continuous-Time Quantum Walks on Directed Bipartite Graphs. Retrieved from http://arxiv.org/abs/1606.00992
Samoilenko, A., Karimi, F., Edler, D., Kunegis, J., & Strohmaier, M. (2016). Linguistic Neighbourhoods: Explaining Cultural Borders on Wikipedia through Multilingual Co-editing Activity. Eur. Phys. J. Data Science, 5(9). Retrieved from http://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-016-0070-8
Schelter, S., & Kunegis, J. (2016). On the Ubiquity of Web Tracking: Insights from a Billion-Page Web Crawl. Retrieved from https://arxiv.org/abs/1607.07403
Schelter, S., & Kunegis, J. (2016). Tracking the Trackers: A Large-Scale Analysis of Embedded Web Trackers. In Proc. Int. Conf. on Web and Social Media. Retrieved from https://www.aaai.org/ocs/index.php/ICWSM/ICWSM16/paper/view/13024
2015
Kunegis, J. (2015). Exploiting the Structure of Bipartite Graphs for Algebraic and Spectral Graph Theory Applications. Internet Math., 11(3), 201--321. http://doi.org/10.1080/15427951.2014.958250
Vogel, I. C., Milde, J., Stengel, K., Staab, S., Kling, C. C., & Kunegis, J. (2015). Glaubwürdigkeit und Vertrauen von Online-News. Datenschutz Und Datensicherheit, 40(5), 312--316. Retrieved from http://link.springer.com/article/10.1007/s11623-015-0419-3
Samoilenko, A., Karimi, F., Kunegis, J., Edler, D., & Strohmaier, M. (2015). Linguistic Influence Patterns within the Global Network of Wikipedia Language Editions. In Proc. Web Science Conf. Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/samoilenko-linguistic-influence-patterns-within-the-global-network-of-wikipedia-language-editions.pdf
Homscheid, D., Kunegis, J., & Schaarschmidt, M. (2015). Private-Collective Invention and Open Source Software: Longitudinal Insights from Linux Kernel Development. In Proc. IFIP Conf. on e-Business, e-Services and e-Society (p. 299--313). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/homscheid-private-collective-innovation-and-open-source-software-longitudinal-insights-from-linux-kernel-development.pdf
Dünker, D., & Kunegis, J. (2015). Social Networking by Proxy: A Case Study of Catster, Dogster and Hamsterster. Retrieved from http://arxiv.org/abs/1501.04527
Dünker, D., & Kunegis, J. (2015). Social Networking by Proxy: Analysis of Dogster, Catster and Hamsterster. In Proc. Int. Conf. on World Wide Web Companion (p. 361--362). Retrieved from http://dl.acm.org/citation.cfm?id=2745936
Perl, J., Wagner, C., Kunegis, J., & Staab, S. (2015). Twitter as a Political Network -- Predicting the Following and Unfollowing Behavior of German Politicians. In Proc. Web Science Conf. Retrieved from http://dl.acm.org/citation.cfm?id=2786506
Kling, C. C., Kunegis, J., Hartmann, H., Strohmaier, M., & Staab, S. (2015). Voting Behaviour and Power in Online Democracy: A Study of LiquidFeedback in Germany's Pirate Party. In Proc. Int. Conf. on Weblogs and Social Media (p. 208--217). Retrieved from http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10566
2014
Kunegis, J. (2014). Applications of Structural Balance in Signed Social Networks. Retrieved from http://arxiv.org/abs/1402.6865
Preusse, J., Kunegis, J., Thimm, M., & Sizov, S. (2014). DecLiNe -- Models for Decay of Links in Networks. Retrieved from http://arxiv.org/abs/1403.4415
Kling, C. C., Kunegis, J., Sizov, S., & Staab, S. (2014). Detecting Non-Gaussian Geographical Topics in Tagged Photo Collections. In Proc. Int. Conf. on Web Search and Data Mining (p. 603--612). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kling-multi-dirichlet-geographical-topic-model.pdf
Kunegis, J. (2014). Polcovar: Software for Computing the Mean and Variance of Subgraph Counts in Random Graphs. Retrieved from https://west.uni-koblenz.de/Research/systems/polcovar
2013
Fay, D., Kunegis, J., & Yoneki, E. (2013). Centrality and Mode Detection in Dynamic Contact Graphs; a Joint Diagonalisation Approach. In Proc. Int. Conf. on Advances in Social Networks Analysis and Mining (p. 41--48). ACM. Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/fay-joint-diagonalization.pdf
Kunegis, J. (2013). KONECT -- The Koblenz Network Collection. In Proc. Int. Conf. on World Wide Web Companion (p. 1343--1350). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-koblenz-network-collection.pdf
Kunegis, J., Blattner, M., & Moser, C. (2013). Preferential Attachment in Online Networks: Measurement and Explanations. In Proc. Web Science Conf. (p. 205--214). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-blattner-moser-preferential-attachment-in-online-networks-measurement-and-explanations.pdf
Kunegis, J. (2013). Social Network Datasets. Encyclopedia Of Social Network Analysis And Mining. Retrieved from http://www.springer.com/gb/book/9781461461692
Kunegis, J., Fay, D., & Bauckhage, C. (2013). Spectral Evolution in Dynamic Networks. Knowledge And Information Systems, 37(1), 1--36. Retrieved from http://dx.doi.org/10.1007/s10115-012-0575-9
Kunegis, J. (2013). Spectral Evolution of Social Networks. Encyclopedia Of Social Network Analysis And Mining. Retrieved from http://www.springer.com/gb/book/9781461461692
Preusse, J., Kunegis, J., Thimm, M., Gottron, T., & Staab, S. (2013). Structural Dynamics of Knowledge Networks. In Proc. Int. Conf. on Weblogs and Social Media (p. 506--515). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/preusse-structural-dynamics-of-knowledge-networks.pdf
Kunegis, J., Preusse, J., & Schwagereit, F. (2013). What Is the Added Value of Negative Links in Online Social Networks?. In Proc. Int. World Wide Web Conf. (p. 727--736). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-added-value-of-negative-links-in-online-social-networks.pdf
2012
Kunegis, J., Sizov, S., Schwagereit, F., & Fay, D. (2012). Diversity Dynamics in Online Networks. In Proc. Conf. on Hypertext and Social Media (p. 255--264). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-diversity-dynamics-in-online-networks.pdf
Kunegis, J., & Preusse, J. (2012). Fairness on the Web: Alternatives to the Power Law. In Proc. Web Science Conf. (p. 175--184). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-preusse-fairness-on-the-web-alternatives-to-the-power-law.pdf
Kunegis, J. (2012). KONECT Cloud -- Large Scale Network Mining in the Cloud. In Proc. Spring 2012 Future SOC Lab Day. Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-konect-cloud-large-scale-network-mining-in-the-cloud.pdf
Che Alhadi, A., Gottron, T., Kunegis, J., & Naveed, N. (2012). LiveTweet: Monitoring and Predicting Interesting Microblog Posts. In Proc. European Conf. on Information Retrieval Demonstrations (p. 569--570). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/che-alhadi-livetweet-monitoring-and-predicting-interesting-microblog-posts.pdf
Kunegis, J., Gröner, G., & Gottron, T. (2012). Online Dating Recommender Systems: The Split-complex Number Approach. In Proc. Workshop on Recommender Systems and the Social Web (p. 37--44). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-online-dating-recommender-systems-the-split-complex-number-approach.pdf
Kunegis, J., & Fliege, J. (2012). Predicting Directed Links using Nondiagonal Matrix Decomposition. In Proc. Int. Conf. on Data Mining (p. 948--953). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-fliege-predicting-directed-links-using-nondiagonal-matrix-decompositions.pdf
2011
Naveed, N., Gottron, T., Kunegis, J., & Che Alhadi, A. (2011). Bad News Travels Fast: A Content-based Analysis of Interestingness on Twitter. In Proc. Web Science Conf. Retrieved from http://uni-koblenz.de/~kunegis/paper/naveed-gottron-kunegis-che-alhadi-retweets.pdf
Gottron, T., Naveed, N., Kunegis, J., & Alhadi, A. C. (2011). Challenges in Mining Social Media: Sparsity and Quality. In Challenges in Document Mining (Dagstuhl Seminar 11171) (p. 73). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/naveed-gottron-kunegis-che-alhadi-bad-news-travels-more.pdf
Fay, D., Haddadi, H., Uhlig, S., Kilmartin, L., Moore, A. W., Kunegis, J., & Iliofotou, M. (2011). Discriminating Graphs through Spectral Projections. Computer Networks, 55(15), 3458--3468. Retrieved from http://uni-koblenz.de/~kunegis/paper/fay-discriminating-graphs-through-spectral-projections.pdf
Spiegel, S., Clausen, J., Albayrak,, & Kunegis, J. (2011). Link Prediction on Evolving Data using Tensor Factorization. In Proc. Workshop on Behavior Informatics. Retrieved from http://uni-koblenz.de/~kunegis/paper/spiegel-time-tensor.pdf
Che Alhadi, A., Gottron, T., Kunegis, J., & Naveed, N. (2011). LiveTweet: Microblog Retrieval Based on Interestingess and an Adaptation of the Vector Space Model. In Proc. Text Retrieval Conference. Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/che-alhadi-livetweet-microblog-retrieval-trec.pdf
Fay, D., Kunegis, J., & Yoneki, E. (2011). On Joint Diagonalisation for Dynamic Network Analysis. University of Cambridge. Retrieved from http://uni-koblenz.de/~kunegis/paper/fay-on-joint-diagonalisation-for-dynamic-network-analysis.pdf
Kunegis, J. (2011). On the Spectral Evolution of Large Networks (PhD dissertation). Retrieved from http://userpages.uni-koblenz.de/~kunegis/paper/kunegis-phd-thesis-on-the-spectral-evolution-of-large-networks.pdf
Gottron, T., Kunegis, J., Scherp, A., & Staab, S. (2011). One Community Does Not Rule Them All. In Proc. Web Science Conf. Retrieved from http://uni-koblenz.de/~kunegis/paper/gottron-kunegis-scherp-staab.pdf
Naveed, N., Gottron, T., Kunegis, J., & Che Alhadi, A. (2011). Searching Microblogs: Coping with Sparsity and Document Quality. In Proc. Int. Conf. on Information and Knowledge Management (p. 183--188). Retrieved from http://uni-koblenz.de/~kunegis/paper/twitter-sparsity-and-document-quality.pdf
2010
Karataş, B., Schmidt, T., Kunegis, J., & Plumbaum, T. (2010). Connecting Senior Citizens through Interactive TV. In Proc. Ambient Assisted Living. Retrieved from http://uni-koblenz.de/~kunegis/paper/karatas-interactive-tv.pdf
Said, A., Kunegis, J., Luca, E. W. D., & Albayrak, S. (2010). Exploiting Hierarchical Tags for Context-awareness. In Proc. Workshop on Exploiting Semantic Annotations for Information Retrieval (p. 35--36). Retrieved from http://uni-koblenz.de/~kunegis/paper/said-exploiting-hierarchical-tags.pdf
De Luca, E. W., Plumbaum, T., Kunegis, J., & Albayrak,. (2010). Multilingual Ontology-based User Profile Enrichment. In Proc. Workshop on the Multilingual Semantic Web (p. 41--42). Retrieved from http://uni-koblenz.de/~kunegis/paper/deluca-multilingual.pdf
Kunegis, J., Fay, D., & Bauckhage, C. (2010). Network Growth and the Spectral Evolution Model. In Proc. Int. Conf. on Information and Knowledge Management (p. 739--748). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-spectral-network-evolution.pdf
Kunegis, J., Schmidt, S., Lommatzsch, A., & Lerner, J. (2010). Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization. In Proc. SIAM Int. Conf. on Data Mining (p. 559--570). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-spectral-analysis-of-signed-graphs.pdf
Kunegis, J., De Luca, E. W., & Albayrak,. (2010). The Link Prediction Problem in Bipartite Networks. In Proc. Int. Conf. in Information Processing and Management of Uncertainty in Knowledge-based Systems (p. 380--389). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-hyperbolic-sine.pdf
2009
Spiegel, S., Kunegis, J., & Li, F. (2009). Hydra: A Hybrid Recommender System [Cross-Linked Rating and Content Information]. In Proc. Workshop on Complex Networks in Information and Knowledge Management (p. 75--80). Retrieved from http://uni-koblenz.de/~kunegis/paper/spiegel-hydra-hybrid-recommender-system.pdf
Kunegis, J., & Lommatzsch, A. (2009). Learning Spectral Graph Transformations for Link Prediction. In Proc. Int. Conf. on Machine Learning (p. 561--568). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-spectral-transformation.pdf
Kunegis, J., Lommatzsch, A., & Bauckhage, C. (2009). The Slashdot Zoo: Mining a Social Network with Negative Edges. In Proc. Int. World Wide Web Conf. (p. 741--750). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-slashdot-zoo.pdf
Kunegis, J., Said, A., & Umbrath, W. (2009). The Universal Recommender. Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-universal-recommender.pdf
2008
Kunegis, J., Lommatzsch, A., & Bauckhage, C. (2008). Alternative Similarity Functions for Graph Kernels. In Proc. Int. Conf. on Pattern Recognition. Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-alternative-similarity.pdf
Kunegis, J., Schmidt, S., Bauckhage, C., Mehlitz, M., & Albayrak,. (2008). Modeling Collaborative Similarity with the Signed Resistance Distance Kernel. In Proc. European Conf. on Artificial Intelligence (p. 261--265). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-signed-resistance-distance-kernel.pdf
Kunegis, J., Lommatzsch, A., Bauckhage, C., & Albayrak,. (2008). On the Scalability of Graph Kernels Applied to Collaborative Recommenders. In Proc. ECAI Workshop on Recommender Systems (p. 35--38). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-kernel-scalability.pdf
2007
Lommatzsch, A., Mehlitz, M., & Kunegis, J. (2007). A Multi-agent Framework for Personalized Information Filtering. In Proc. German e-Science. Retrieved from http://uni-koblenz.de/~kunegis/paper/lommatzsch-multi-agent.pdf
Mehlitz, M., Bauckhage, C., Kunegis, J., & Albayrak,. (2007). A New Evaluation Measure for Information Retrieval Systems. In Proc. Int. Conf. on Systems, Man and Cybernetics. Retrieved from http://uni-koblenz.de/~kunegis/paper/mehlitz-evaluation-measure.pdf
Kunegis, J., & Albayrak,. (2007). Adapting Ratings in Memory-Based Collaborative Filtering using Linear Regression. In Proc. Int. Conf. on Information Reuse and Integration. Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-adapting-ratings.pdf
Kunegis, J., Lommatzsch, A., Mehlitz, M., & Albayrak,. (2007). Assessing the Value of Unrated Items in Collaborative Filtering. In Proc. Int. Conf. on Digital Information Management (p. 212--216). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-assessing-unrated.pdf
Kunegis, J., & Schmidt, S. (2007). Collaborative Filtering using Electrical Resistance Network Models with Negative Edges. In Proc. Industrial Conf. on Data Mining (p. 269--282). Retrieved from http://uni-koblenz.de/~kunegis/paper/kunegis-negative-resistance.pdf
Hahne, M., Jung, C., Kunegis, J., Lommatzsch, A., & Paus, A. (2007). Ein gradualisiertes Community-Modell zur Bildung wissenschaftlicher Gemeinschaften. In Analyse sozialer Netzwerke und Social Software -- Grundlagen und Anwendungsbeispiele. Retrieved from http://uni-koblenz.de/~kunegis/paper/hahne-gradualisiertes-communitymodell.pdf
Milošević, D., Kunegis, J., & Albayrak,. (2007). Resource-Aware Update Policy for Highly Dynamic P2P Networks. In Proc. WI Workshops. Retrieved from http://uni-koblenz.de/~kunegis/paper/milosevic-update-policy.pdf
Schmidt, S., & Kunegis, J. (2007). Scalable Bandwidth Optimization in Advance Reservation Networks. In Proc. Int. Conf. on Networks (p. 95--100). Retrieved from http://uni-koblenz.de/~kunegis/paper/schmidt-bandwidth-optimization.pdf
Mehlitz, M., Kunegis, J., & Albayrak,. (2007). Using Novel IR Measures to Learn Optimal Cluster Structures for Web Information Retrieval. In Proc. Int. Conf. Web Intelligence. Retrieved from http://uni-koblenz.de/~kunegis/paper/mehlitz-ir-measure.pdf
2006
Kunegis, J. (2006). Using Integer Linear Programming for Search Results Optimization (Master thesis). Technical University of Berlin.