2017

  • Mihel{\v{c}}i{\'{c}}, M., D{ž}eroski, S., Lavra{\v{c}}, N. & {\v{S}}muc, T. (2017). A framework for redescription set construction. Expert Systems with Applications, 68, 196-215. [More] [Bibtex]

2016

  • Bardoscia, M., Caccioli, F., Perotti, J. I., Vivaldo, G. & Caldarelli, G. (2016). Distress propagation in complex networks: the case of non-linear DebtRank. PLoS ONE, 11, e0163825. [More] [Bibtex]
  • Wider, N., Garas, A., Scholtes, I. & Schweitzer, F (2016). Interconnected Networks. Interconnected Networks. [More] [Bibtex]
  • Vestergaard, C. L., Valdano, E., Génois, M., Poletto, C., Colizza, V. & Barrat, A. (2016). Impact of spatially constrained sampling of temporal contact networks on the evaluation of the epidemic risk. European Journal of Applied Mathematics, , 1-17. [More] [Bibtex]
  • Vivaldo, G., Masi, E., Pandolfi, C., Mancuso, S. & Caldarelli, G. (2016). Networks of plants: how to measure similarity in vegetable species. Nature Publishing Group, (February), 1-11. [More] [Bibtex]
  • Vodenska, I., Becker, A. P., Zhou, D., Kenett, D. Y., Stanley, H. E. & Havlin, S. (2016). Community Analysis of Global Financial Markets. Risks, 4, 13-28. [More] [Bibtex]
  • Solé-Ribalta, A., Domenico}, M. {., Gómez, S. & Arenas, A. (2016). Random walk centrality in interconnected multilayer networks. Physica D: Nonlinear Phenomena, 323-324, 73-79. [More] [Bibtex]
  • Skardal, P. S., Taylor, D., Sun, J. & Arenas, A. (2016). Collective frequency variation in network synchronization and reverse PageRank. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 93(4), 1-7. [More] [Bibtex]
  • Skardal, P. S., Taylor, D., Sun, J. & Arenas, A. (2016). Erosion of synchronization: Coupling heterogeneity and network structure. Physica D: Nonlinear Phenomena, 323-324, 40-48. [More] [Bibtex]
  • Sluban, B., Gr{\v{c}}ar, M. & Mozeti{\v{c}}, I (2016). Temporal Multi-layer Network Construction from Major News Events. In Proc. 7th Workshop on Complex Networks CompleNet, pages 29-41. Springer. [More] [Bibtex]
  • Smieszek, T., Castell, S., Barrat, A., Cattuto, C., White, P. J. & Krause, G. (2016). Contact diaries versus wearable proximity sensors in measuring contact patterns at a conference: method comparison and participants' attitudes.. BMC infectious diseases, 16, 341. [More] [Bibtex]
  • Shekhtman, L. M., Danziger, M. M. & Havlin, S. (2016). Recent advances on failure and recovery in networks of networks. Chaos, Solitons and Fractals, 90, 28-36. [More] [Bibtex]
  • Skardal, P. S. & Arenas, A. (2016). On controlling networks of limit-cycle oscillators. Chaos, 26(9). [More] [Bibtex]
  • Scholtes, I., Wider, N. & Garas, A. (2016). Higher-order aggregate networks in the analysis of temporal networks: path structures and centralities. European Physical Journal B, 89(3), 1-15. [More] [Bibtex]
  • Sendiña-Nadal, I., Danziger, M. M., Wang, Z., Havlin, S. & Boccaletti, S. (2016). Assortativity and leadership emerge from anti-preferential attachment in heterogeneous networks. Scientific Reports, 6(October 20), 21297. [More] [Bibtex]
  • Sapienza, A., Panisson, A., Wu, J., Gauvin, L. & Cattuto, C. (2016). Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition. Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, , 516-523. [More] [Bibtex]
  • Ranco, G., Bordino, I., Bormetti, G., Caldarelli, G., Lillo, F. & Treccani, M. (2016). Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics.. PloS one, 11(1), e0146576. [More] [Bibtex]
  • Rozenblat, C., Zaidi, F. & Bellwald, A (2016). The multipolar regionalization of world cities in the multinational firms networks. Global Networks. [More] [Bibtex]
  • Poncela-Casasnovas, J., Gutiérrez-Roig, M., Gracia-Lázaro, C., Vicens, J., Gómez-Gardeñes, J., Perelló, J. et al. (2016). Humans display a reduced set of consistent behavioral phenotypes in dyadic games.. Science advances, 2(8), e1600451. [More] [Bibtex]
  • Pacuk, A., Sankowski, P., Karol, W. & Wygocki, P (2016). There is Something Beyond the Twitter Network. In HT'16, pages 279-284. [More] [Bibtex]
  • Pacuk, A., Sankowski, P., Wegrzycki, K. & Wygocki, P. (2016). Locality-sensitive hashing without false negatives for lp. LNCS, 9797, 105-118. [More] [Bibtex]
  • Palchykov, V., Gemmetto, V., Boyarsky, A. & Garlaschelli, D. (2016). Ground truth? Concept-based communities versus the external classification of physics manuscripts. EPJ Data Science, 5(1). [More] [Bibtex]
  • Pi{\v{s}}korec, M., Antulov-Fantulin, N., Miholi{\'{c}}, I., {\v{S}}muc, T. & {\v{S}}iki{\'{c}}, M. (2016). Modeling peer and external influence in online social networks. [More] [Bibtex]
  • Mureddu, M., Caldarelli, G., Damiano, A., Scala, A. & Meyer-Ortmanns, H. (2016). Islanding the power grid on the transmission level: less connections for more security. Scientific Reports, 6, 34797. [More] [Bibtex]
  • Mertzios, G. B., Nikoletseas, S. E., Raptopoulos, C. L. & Spirakis, P. G. (2016). Stably Computing Order Statistics with Arithmetic Population Protocols ∗. , (69), 1-13. [More] [Bibtex]
  • Mertzios, G. B., Nikoletseas, S. E., Raptopoulos, C. L. & Spirakis, P. G. (2016). Determining majority in networks with local interactions and very small local memory. Distributed Computing, , 1-16. [More] [Bibtex]
  • Michail, O. & Spirakis, P. G. (2016). Simple and efficient local codes for distributed stable network construction. Distributed Computing, 29(3), 207-237. [More] [Bibtex]
  • Michail, O. & Spirakis, P. G. (2016). Traveling salesman problems in temporal graphs. Theoretical Computer Science, 634, 1-23. [More] [Bibtex]
  • Mihelcic, M. & Smuc, T. (2016). InterSet: Interactive Redescription Set Exploration. LNAI, 9956, 35-50. [More] [Bibtex]
  • Mozeti{\v{c}}, I., Gr{\v{c}}ar, M. & Smailovi{\'{c}}, J. (2016). Multilingual Twitter Sentiment Classification: The Role of Human Annotators. PLoS ONE, 11(5), e0155036. [More] [Bibtex]
  • Maecker, A. & Malatyali, M. (2016). Online Top- k -Position Monitoring of Distributed Data Streams. [More] [Bibtex]
  • Maecker, A., Malatyali, M. & Heide, F. M. (2016). On Competitive Algorithms for Approximations of Top-k-Position Monitoring of Distributed Streams. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, (317532), 700-709. [More] [Bibtex]
  • Magalich, A., Palchykov, V., Gemmetto, V., Garlaschelli, D., Boyarsky, A., Martini, A. et al. (2016). ScienceWISE : Topic Modeling over Scientific Literature Networks. , . [More] [Bibtex]
  • Majdandzic, A., Braunstein, L. A., Curme, C., Vodenska, I., Levy-Carciente, S., Stanley}, H. {. et al. (2016). Multiple tipping points and optimal repairing in interacting networks.. Nature communications, 7, 10850. [More] [Bibtex]
  • Mastrandrea, R. & Barrat, A. (2016). How to Estimate Epidemic Risk from Incomplete Contact Diaries Data?. PLoS Computational Biology, 12(6), 1-19. [More] [Bibtex]
  • Krause, S. M. (2016). Hidden Connectivity in Networks with Vulnerable Classes of Nodes. Physical Review X, 6(4), 041022. [More] [Bibtex]
  • Leduc, M. V., Poledna, S. & Thurner, S. (2016). Systemic Risk Management in Financial Networks with Credit Default Swaps. [More] [Bibtex]
  • Lee, D., Choi, S., Stippinger, M., Kertész, J. & Kahng, B. (2016). Hybrid phase transition into an absorbing state: Percolation and avalanches. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 93(4), 1-11. [More] [Bibtex]
  • Li, A., Cornelius, S. P., Liu, Y.-Y., Wang, L. & Barabási, A.-L. (2016). The fundamental advantages of temporal networks. arXiv, , 1-45. [More] [Bibtex]
  • Lopes, M. A., Lopes, E. M., Yoon, S., Mendes, J. F. & Goltsev, A. V. (2016). Synchronization in the random field Kuramoto model on complex networks. Physical Review E, 94, 012308. [More] [Bibtex]
  • Jo, H.-H., Murase, Y., Török, J., Kertész, J. & Kaski, K. (2016). A Static Model for Stylized Facts in Social Networks. arxiv:1611.03664, , 1-12. [More] [Bibtex]
  • Kertesz, J., Torok, J., Murase, Y., Jo, H.-H. & Kaski, K. (2016). Multiplex Modeling of the Society. , , 1-24. [More] [Bibtex]
  • Kiti, M. C., Tizzoni, M., Kinyanjui, T. M., Koech, D. C., Munywoki, P. K., Meriac, M. et al. (2016). Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors. EPJ Data Science, 5(1). [More] [Bibtex]
  • Klimek, P., Diakonova, M., Eguiluz, V., Miguel, M. S. & Thurner, S. (2016). Dynamical origins of the community structure of multi-layer societies. New Journal of Physics, 18(8), 1-8. [More] [Bibtex]
  • Klimek, P., Jovanovic}, A. {., Egloff, R. & Schneider, R. (2016). Successful fish go with the flow: citation impact prediction based on centrality measures for term-document networks. Scientometrics, 107(3), 1265-1282. [More] [Bibtex]
  • Hric, D., Peixoto, T. P. & Fortunato, S. (2016). Network structure, metadata and the prediction of missing nodes. Physical Review X, 6, 031038. [More] [Bibtex]
  • Gleeson, J. P., O'Sullivan, K. P., Baños, R. A. & Moreno, Y. (2016). Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena. Physical Review X, 6(2), 021019. [More] [Bibtex]
  • Gmyr, R., Lefèvre, J. & Scheideler, C. (2016). Self-stabilizing Metric Graphs. [More] [Bibtex]
  • Goel, G., Leonardi, S., Mirrokni, V. & Paes-leme, R. (2016). Reservation Exchange Markets for Internet. , (142), 1-14. [More] [Bibtex]
  • Gomez-Gardenes, J., Domenico}, M. {., Gutiérrez, G., Arenas, A. & Gómez, S. (2016). Layer – layer competition in multiplex complex networks Subject Areas :. Phylosophical Transactions of the Royal Society A, 373, 20150117. [More] [Bibtex]
Results 1 - 50 of 383

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