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Journal of Computer Science and Technology ›› 2019, Vol. 34 ›› Issue (1): 234-252.doi: 10.1007/s11390-019-1907-y
Special Issue: Artificial Intelligence and Pattern Recognition; Data Management and Data Mining
• Regular Paper • Previous Articles
Jing-Ya Zhou1,2,3, Member, CCF, ACM, Jian-Xi Fan1, Member, CCF, Cheng-Kuan Lin1, Member, CCF, and Bao-Lei Cheng1, Member, CCF
[1] Althoff T, Jindal P, Leskovec J. Online actions with offline impact:How online social networks influence online and offline user behavior. In Proc. the 10th ACM International Conference on Web Search and Data Mining, February 2017, pp.537-546. [2] Peng S C, Yang A M, Cao L H, Yu S, Xie D Q. Social influence modeling using information theory in mobile social networks. Information Sciences, 2017, 379:146-159. [3] Wang F, Wang H Y, Xu K, Wu J H, Jia X H. Characterizing information diffusion in online social networks with linear diffusive model. In Proc. the 33rd International Conference on Distributed Computing Systems, July 2013, pp.307-316. [4] Al-Fares M, Loukissas A, Vahdat, A. A scalable, commodity data center network architecture. In Proc. the ACM SIGCOMM Conference on Data communication, August 2008, pp.63-74. [5] Shvachko K, Kuang H, Radia S, Chansler R. The Hadoop distributed file system. In Proc. the 26th IEEE Symposium on Mass Storage Systems and Technologies, May 2010. [6] Lakshman A, Malik P. Cassandra:A decentralized structured storage system. ACM SIGOPS Operating Systems Review, 2010, 44(2):35-40. [7] Sumbaly R, Kreps J, Gao L, Feinberg A, Soman C, Shah S. Serving large-scale batch computed data with project Voldemort. In Proc. the 10th USENIX Conference on File and Storage Technologies, February 2012, pp.223-235. [8] Karypis G, Kumar V. A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM Journal on Scientific Computing, 1998, 20(1):359-392. [9] Chen H H, Jin H, Wu S. Minimizing inter-server communications by exploiting self-similarity in online social networks. IEEE Transactions on Parallel and Distributed Systems, 2016, 27(4):1116-1130. [10] Liu G X, Shen H Y, Chandler H. Selective data replication for online social networks with distributed datacenters. IEEE Transactions on Parallel and Distributed Systems, 2016, 27(8):2377-2393. [11] Pujol J M, Erramilli V, Siganos G, Yang X, Laoutaris N, Chhabra P, Rodriguez P. The little engine(s) that could:Scaling online social networks. IEEE/ACM Transactions on Networking, 2012, 20(4):1162-1175. [12] Tran D A, Zhang T. S-PUT:An EA-based framework for socially aware data partitioning. Computer Networks, 2014, 75:504-518. [13] Yu B Y, Pan J P. Location-aware associated data placement for geo-distributed data intensive applications. In Proc. the 34th IEEE International Conference on Computer Communications, April 2015, pp.603-611. [14] Zhou J Y, Fan J X, Cheng B L, Jia J C. Optimizing interserver communications by exploiting overlapping communities in online social networks. In Proc. the 16th International Conference on Algorithms and Architectures for Parallel Processing, December 2016, pp.231-244. [15] Tran D A, Nguyen K, Pham C. S-CLONE:Socially-aware data replication for social networks. Computer Networks, 2012, 56(7):2001-2013 [16] Zhang J H, Chen J, Luo J Z, Song A B. Efficient locationaware data placement for data-intensive applications in geodistributed scientific data centers. Tsinghua Science and Technology, 2016, 21(5):471-481. [17] Jiao L, Lit J, Du W, Fu X M. Multi-objective data placement for multi-cloud socially aware services. In Proc. the 33rd IEEE International Conference on Computer Communications, April 2014, pp.28-36. [18] Gregory S. Finding overlapping communities in networks by label propagation. New Journal of Physics, 2010, 12(10):Article No. 103018. [19] Lancichinetti A, Fortunato S, Kertész J. Detecting the overlapping and hierarchical community structure in complex networks. New Journal of Physics, 2009, 11(3):Article No. 033015. [20] Qiao S, Han N, Zhang K, Zou L, Wang H, Alberto G L. Algorithm for detecting overlapping communities from complex network big data. Journal of Software, 2017, 28(3):631-647. (in Chinese) [21] Wilson C, Sala A, Puttaswamy K P N, Zhao B Y. Beyond social graphs:User interactions in online social networks and their implications. ACM Transactions on the Web, 2012, 6(4):Article No. 17. [22] Gjoka M, Kurant M, Butts C T, Markopoulou A. Walking in Facebook:A case study of unbiased sampling of OSNs. In Proc. the 29th IEEE International Conference on Computer Communications, March 2010, pp.2498-2506. [23] Jiang J, Wilson C, Wang X, Sha W P, Huang P, Dai Y F, Zhao B Y. Understanding latent interactions in online social networks. ACM Transactions on the Web, 2013, 7(4):Article No. 18. [24] Benevenuto F, Rodrigues T, Cha M, Almeida V A F. Characterizing user behavior in online social networks. In Proc. the 9th ACM SIGCOMM Conference on Internet Measurement, November 2009, pp.49-62. [25] Roy A, Zeng H, Bagga J, Porter G, Snoeren A C. Inside the social network's (datacenter) network. In Proc. the 2015 ACM Conference on Special Interest Group on Data Communication, August 2015, pp.123-137. |
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