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| Maria Giatsoglou, Athena Vakali, "Capturing Social Data Evolution via Graph Clustering," IEEE Internet Computing, vol. 99, no. 1, pp. , , 5555. | |||
| BibTex | x | ||
| @article{ 10.1109/MIC.2012.24, author = {Maria Giatsoglou and Athena Vakali}, title = {Capturing Social Data Evolution via Graph Clustering}, journal ={IEEE Internet Computing}, volume = {99}, number = {1}, issn = {1089-7801}, year = {5555}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2012.24}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Internet Computing TI - Capturing Social Data Evolution via Graph Clustering IS - 1 SN - 1089-7801 SP EP EPD - A1 - Maria Giatsoglou, A1 - Athena Vakali, PY - 5555 KW - H.2.8.m Web mining KW - I.5.3.a Algorithms < I.5.3 Clustering < I.5 Pattern Recognition < I Computing Methodologies KW - E.1.d Graphs and networks < E.1 Data Structures < E Data KW - H.3.3.a Clustering KW - H.2.8.i Mining methods and algorithms KW - H.2.8.d Data mining < H.2.8 Database Applications < H.2 Database Management < H Information Technology and Systems KW - VL - 99 JA - IEEE Internet Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2012.24
Fast and unpredictable social data evolution poses challenges in capturing user activities and complex associations. Evolving graph clustering is promising for uncovering latent users’ and content’s patterns evolution.
Index Terms:
H.2.8.m Web mining, I.5.3.a Algorithms < I.5.3 Clustering < I.5 Pattern Recognition < I Computing Methodologies, E.1.d Graphs and networks < E.1 Data Structures < E Data, H.3.3.a Clustering, H.2.8.i Mining methods and algorithms, H.2.8.d Data mining < H.2.8 Database Applications < H.2 Database Management < H Information Technology and Systems,
Citation:
Maria Giatsoglou, Athena Vakali, "Capturing Social Data Evolution via Graph Clustering," IEEE Internet Computing, 09 Feb. 2012. IEEE computer Society Digital Library. IEEE Computer Society, <http://doi.ieeecomputersociety.org/10.1109/MIC.2012.24>
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