Have a personal or library account? Click to login
GeoSimMR: A MapReduce Algorithm for Detecting Communities based on Distance and Interest in Social Networks Cover

GeoSimMR: A MapReduce Algorithm for Detecting Communities based on Distance and Interest in Social Networks

Open Access
|Apr 2019

References

  1. Altunbey, F and Alatas, B. 2015. Overlapping community detection in social networks using parliamentary optimization algorithm. International Journal of Computer Networks and Applications, 2(1): 1219.
  2. Blondel, VD, Guillaume, J-L, Lambiotte, R and Lefebvre, E. 2008. Fast unfolding of communities in large networks. Journal of statistical mechanics: Theory and experiment, 2008(10). DOI: 10.1088/1742-5468/2008/10/P10008
  3. Capuruco, RAC and Capretz, LF. 2010. Integrating Recommender Information in Social Ecosystems Decisions. 4th European Conference on Software Architecture, 143150. DOI: 10.1145/1842752.1842783
  4. Capuruco, RAC and Capretz, LF. 2012. A Fuzzy-Based Inference Mechanism of Trust for Improved Social Recommenders. 3rd International Workshop on Social Recommender Systems.
  5. Clauset, A, Newman, MEJ and Moore, C. Dec 2004. Finding community structure in very large networks, Phys. Rev. E, 70. DOI: 10.1103/PhysRevE.70.066111
  6. Dean, J and Ghemawat, S. January 2008. MapReduce: Simplified Data Processing on Large Clusters. Commun., ACM, 51(1): 107113. DOI: 10.1145/1327452.1327492
  7. Ghosh, R and Lerman, K. 2010. Community Detection Using a Measure of Global Influence. Proceedings of the Second International Conference on Advances in Social Network Mining and Analysis, ser.SNAKDD’08, 2035. Berlin, Heidelberg: Springer-Verlag. DOI: 10.1007/978-3-642-14929-0_2
  8. Gregory, S. 2007. An Algorithm to Find Overlapping Community Structure in Networks. Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, ser. PKDD 2007, 91102. Berlin, Heidelberg: Springer-Verlag. DOI: 10.1007/978-3-540-74976-9_12
  9. Gregory, S. 2008. A Fast Algorithm to Find Overlapping Communities in Networks. Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases – Part I, ser.ECML PKDD ’08, 408423. Berlin, Heidelberg: Springer-Verlag. DOI: 10.1007/978-3-540-87479-9_45
  10. Kheirkhahzadeh, M, Lancichinetti, A and Rosvall, M. 2016. Efficient community detection of network flows for varying Markov times and bipartite networks. Physical Review E, 93(3). DOI: 10.1103/PhysRevE.93.032309
  11. Khorasgani, RR, Jiyang, C and Osmar, RZ. 2013. Top leaders community detection approach in information networks. In: Proceedings of the 4th Workshop on Social Network Mining and Analysis, 2010, 228. ISSN: 2319-7323.
  12. Lin, D. 1998. An Information-Theoretic Definition of Similarity. Proceedings of the Fifteenth International Conference on Machine Learning, ser ICML ’98, 296304. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
  13. Miller, GA. 1995. WordNet: A Lexical Database for English. Commun. ACM, 38(11): 3941. DOI: 10.1145/219717.219748
  14. Newman, MEJ. 2006. Modularity and community structure in networks. Proceedings of the National Academy of Sciences, 103(23): 85778582. DOI: 10.1073/pnas.0601602103
  15. Newman, MEJ and Girvan, M. 2004. Finding and evaluating community structure in networks. Phys. Rev. E, 69. DOI: 10.1103/PhysRevE.69.026113
  16. Qi, GJ, Aggarwal, CC and Huang, T. Apr 2012. Community Detection with Edge Content in Social Media Networks. In: Data Engineering (ICDE), 2012 IEEE 28th International Conference, 534545.
  17. Qi, X, Tang, W, Wu, Y, Guo, G, Fuller, E and Zhang, CQ. 2014. Optimal local community detection in social networks based on density drop of subgraphs. Pattern Recognition Letters, 36: 4653. DOI: 10.1016/j.patrec.2013.09.008
  18. Rosvall, M and Bergstrom, CT. 2008. Maps of random walks on complex networks reveal community structure. Proceedings of the National Academy of Sciences, 105(4): 11181123. DOI: 10.1073/pnas.0706851105
  19. Shi, LL, Liu, L, Wu, Y and Hardy, J. 2017. Event Detection and User Interest Discovering in Social Media Data Streams. IEEE Access, 5: 2095320964. DOI: 10.1109/ACCESS.2017.2675839
  20. Shi, LL, Wu, Y, Liu, L, Sun, X and Juang L. 2018. Event detection and identification of influential spreaders in social media data streams. Big Data Mining and Analytics, 1: 3446. DOI: 10.26599/BDMA.2018.9020004
  21. Sun, Y, Aggarwal, CC and Han, J. Jan 2012. Relation Strength-aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. Proc. VLDB Endow, 5(5): 394405. DOI: 10.14778/2140436.2140437
  22. Tang, J, Chang, Y and Liu, H. 2014. Mining social media with social theories: a survey. ACM SIGKDD Explorations Newsletter, 15(2): 2029. DOI: 10.1145/2641190.2641195
  23. Tantipathananandh, C, Berger-Wolf, T and Kempe, D. 2007. A Framework for Community Identification in Dynamic Social Networks. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ser KDD ’07, 717726. DOI: 10.1145/1281192.1281269
  24. Tobias, JA, Planqué, R, Cram, DL and Seddon, N. 2014. Species interactions and the structure of complex communication networks. Proceedings of the National Academy of Sciences, 111(3): 10201025. DOI: 10.1073/pnas.1314337111
  25. Zhang, J and Yu, PS. 2015. Community detection for emerging networks. SIAM. DOI: 10.1137/1.9781611974010.15
Language: English
Submitted on: Mar 3, 2018
|
Accepted on: Mar 2, 2019
|
Published on: Apr 11, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Zaher Al Aghbari, Mohammed Bahutair, Ibrahim Kamel, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.