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We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have diverse social interactions and exhibit temporal dynamics. In this work we construct summarization by extracting activity themes. We propose a novel unified temporal multi-graph framework for extracting activity themes over time. We use non-negative matrix factorization (NMF) approach to derive two interrelated latentdoi:10.1145/1458082.1458289 dblp:conf/cikm/LinSK08 fatcat:bw2w53tbl5h45aifyg247jruwe