An Effective Anytime Anywhere Parallel Approach for Centrality Measurements in Social Network Analysis Export

@inproceedings{citeulike:2363534, abstract = {With the broad application of electronic communication monitoring tools and data-sharing techniques, the size of networks to be studied by Social Network Analysis (SNA) has grown rapidly. However, current SNA techniques are not particularly scalable. For example, even centrality, which is one of the most frequently used SNA parameters, cannot be measured by most current SNA software when the network is large. This paper presents the design of an effective and scalable anytime anywhere parallel methodology for SNA with large-scale networks emphasizing centrality measurement algorithms. The efficiency and effectiveness of the methodology is validated by experiments of centrality analysis for large networks.}, author = {Santos, Eunice E. and Pan, Long and Arendt, Dustin and Pittkin, Morgan}, booktitle = {Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on}, citeulike-article-id = {2363534}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICSMC.2006.385045}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4274654}, doi = {10.1109/ICSMC.2006.385045}, journal = {Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on}, keywords = {analysis, centrality, network, social}, pages = {4693--4698}, posted-at = {2008-02-11 18:37:42}, priority = {2}, title = {An Effective Anytime Anywhere Parallel Approach for Centrality Measurements in Social Network Analysis}, url = {http://dx.doi.org/10.1109/ICSMC.2006.385045}, volume = {6}, year = {2006} }

TY - CONF ID - citeulike:2363534 L3 - citeulike-article-id:2363534 N2 - With the broad application of electronic communication monitoring tools and data-sharing techniques, the size of networks to be studied by Social Network Analysis (SNA) has grown rapidly. However, current SNA techniques are not particularly scalable. For example, even centrality, which is one of the most frequently used SNA parameters, cannot be measured by most current SNA software when the network is large. This paper presents the design of an effective and scalable anytime anywhere parallel methodology for SNA with large-scale networks emphasizing centrality measurement algorithms. The efficiency and effectiveness of the methodology is validated by experiments of centrality analysis for large networks. JF - Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on EP - 4698 TI - An Effective Anytime Anywhere Parallel Approach for Centrality Measurements in Social Network Analysis VL - 6 T2 - Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on SP - 4693 KW - analysis KW - centrality KW - network KW - social AU - Santos, Eunice AU - Pan, Long AU - Arendt, Dustin AU - Pittkin, Morgan PY - 2006/// UR - http://dx.doi.org/10.1109/ICSMC.2006.385045 ER -