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On Merging and Dividing Social Graphs Cover

References

  1. [1] P. ErdÃűs and A. RÃl’nyi, “On random graphs, i,” Publicationes Mathematicae (Debrecen), vol. 6, pp. 290-297, 1959.
  2. [2] D. J. Watts and S. H. Strogatz, “Collective dynamics of â˘AŸsmall-worldâ˘A ´Z networks,” Nature, vol. 393, no. 6684, pp. 440-442, Jun. 1998.
  3. [3] A.-L. Barabási and R. Albert, “Emergence of scaling in random networks,” science, vol. 286, no. 5439, pp. 509-512, 1999.
  4. [4] R. Albert, H. Jeong, and A.-L. Barabasi, “The diameter of the world wide web,” Nature, vol. 401, no. 6749, pp. 130-131, Sep. 1999, arXiv:condmat/ 9907038.
  5. [5] R. Kumar, P. Raghavan, S. Rajagopalan, and A. Tomkins, “Extracting large-scale knowledge bases from the web,” in Proceedings of the 25th VLDB Conference, 1999, p. 639â˘A ¸S650.
  6. [6] A.-L. Barabasi, R. Albert, and H. Jeong, “Meanfield theory for scale-free random networks,” Physica A: Statistical Mechanics and its Applications, vol. 272, no. 1-2, pp. 173-187, Oct. 1999, arXiv:cond-mat/9907068.10.1016/S0378-4371(99)00291-5
  7. [7] W. Zachary, “An information flow model for conflict and fission in small groups,” Journal of Anthropological Research, vol. 33, pp. 452-473, 1977.10.1086/jar.33.4.3629752
  8. [8] P. Held, A. Dockhorn, and R. Kruse, “On merging and dividing of barabasi-albert-graphs,” in Evolving and Autonomous Learning Systems (EALS), 2014 IEEE Symposium on. IEEE, Dec. 2014, pp. 17-24.10.1109/EALS.2014.7009499
  9. [9] P. Holme and B. J. Kim, “Growing scale-free networks with tunable clustering,” Physical review E, vol. 65, no. 2, p. 026107, 2002.
  10. [10] G. Bianconi and A.-l. BarabÃa˛si, “Competition and multiscaling in evolving networks,” Europhysics Letters, vol. 54, p. 436â˘A ¸S442, May 2001.10.1209/epl/i2001-00260-6
  11. [11] E. N. Gilbert, “Random graphs,” The Annals of Mathematical Statistics, pp. 1141-1144, 1959.
  12. [12] R. Kruse, C. Borgelt, F. Klawonn, C. Moewes, M. Steinbrecher, and P. Held, Computational Intelligence: A Methodological Introduction, ser. Texts in Computer Science. New York: Springer, 2013.
  13. [13] D. Zwillinger and S. Kokoska, CRC standard probability and statistics tables and formulae. CRC Press, 1999.10.1201/9780367802417
  14. [14] M. G. Kendall, “A new measure of rank correlation,” Biometrika, vol. 30, no. 1-2, pp. 81-93, 1938.10.1093/biomet/30.1-2.81
  15. [15] P. Held, A. Dockhorn, and R. Kruse, “Generating events for dynamic social network simulations,” in Proceedings of 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, ser. Communications in Computer and Information Science, A. Laurent, O. Strauss, B. Bouchon-Meunier, and R. R. Yager, Eds. Switzerland: Springer International Publishing, 2014, pp. 46-55.10.1007/978-3-319-08855-6_6
  16. [16] P. Held, C. Moewes, C. Braune, R. Kruse, and B. A. Sabel, “Advanced analysis of dynamic graphs in social and neural networks,” in Towards Advanced Data Analysis by Combining Soft Computing and Statistics, ser. Studies in Fuzziness and Soft Computing, C. Borgelt, M. Á. Gil, J. M. C. Sousa, and M. Verleysen, Eds. Berlin Heidelberg: Springer, 2013, vol. 285, pp. 205-222.10.1007/978-3-642-30278-7_17
  17. [17] P. Held and R. Kruse, “Analysis and visualization of dynamic clusterings,” in 2013 46th Hawaii International Conference on System Sciences. Los Alamitos, CA, USA: IEEE Computer Society, Jan. 2013, pp. 1385-1393. 10.1109/HICSS.2013.93
Language: English
Page range: 23 - 49
Published on: Apr 30, 2015
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2015 Pascal Held, Alexander Dockhorn, Rudolf Kruse, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.