{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T05:46:35Z","timestamp":1774331195885,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2014,8,1]],"date-time":"2014-08-01T00:00:00Z","timestamp":1406851200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"NSF ECCS","award":["1202135"],"award-info":[{"award-number":["1202135"]}]},{"name":"NSF ECCS","award":["1343248"],"award-info":[{"award-number":["1343248"]}]},{"name":"NSF AST","award":["1247885"],"award-info":[{"award-number":["1247885"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2014,8]]},"DOI":"10.1109\/jstsp.2014.2317284","type":"journal-article","created":{"date-parts":[[2014,4,14]],"date-time":"2014-04-14T18:01:26Z","timestamp":1397498486000},"page":"563-575","source":"Crossref","is-referenced-by-count":85,"title":["Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks"],"prefix":"10.1109","volume":"8","author":[{"given":"Brian","family":"Baingana","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gonzalo","family":"Mateos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georgios B.","family":"Giannakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"19","first-page":"719","article-title":"Sparse online learning via truncated gradient","volume":"10","author":"langford","year":"2009","journal-title":"J Mach Learn Res"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOAS308"},{"key":"35","article-title":"Structure and dynamics of information pathways in online media","author":"rodriguez","year":"2010","journal-title":"Proc 1st ACM Int'l Conf Web Search and Data Mining"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2090874"},{"key":"36","author":"rogers","year":"1995","journal-title":"Diffusion of Innovations"},{"key":"15","doi-asserted-by":"crossref","DOI":"10.4135\/9781452226576","author":"kaplan","year":"2009","journal-title":"Structural Equation Modeling Foundations and Extensions"},{"key":"33","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2187203"},{"key":"16","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-88146-1","author":"kolaczyk","year":"2009","journal-title":"Statistical Analysis of Network Data Methods and Models"},{"key":"34","article-title":"Uncovering the temporal dynamics of diffusion networks","author":"rodriguez","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.2307\/1913851"},{"key":"39","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2016892"},{"key":"14","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-84858-7","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511761942"},{"key":"37","author":"solo","year":"1995","journal-title":"Adaptive Signal Processing Algorithms Stability and Performance"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxm045"},{"key":"38","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2157912"},{"key":"21","article-title":"Web and blog datasets","author":"leskovec","year":"2011","journal-title":"Stanford Network Analysis Project"},{"key":"20","first-page":"985","article-title":"Kronecker graphs: An approach to modeling networks","volume":"11","author":"leskovec","year":"2010","journal-title":"J Mach Learn Res"},{"key":"40","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1534\/genetics.107.080069"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1001014"},{"key":"24","first-page":"19","article-title":"Online learning for matrix factorization and sparse coding","volume":"11","author":"mairal","year":"2010","journal-title":"J Mach Learn Res"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2012.2233193"},{"key":"26","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000000281"},{"key":"27","article-title":"On the convexity of latent social network inference","author":"meyers","year":"2013","journal-title":"Proc Neural Inf Process Syst Conf"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1007\/BF02294210"},{"key":"29","first-page":"372","article-title":"A method of solving a convex programming problem with convergence rate O(1\/?2)","volume":"27","author":"nesterov","year":"1983","journal-title":"Soviet Math Doklady"},{"key":"3","article-title":"Dynamic structural equation models for tracking topologies of social networks","author":"baingana","year":"2013","journal-title":"Proc 5th Int Workshop Comput Adv Multi-Sensor Adaptive Process"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5946893"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.20042"},{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2010.2046897"},{"key":"30","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-004-0552-5"},{"key":"7","first-page":"3125","article-title":"Sparse LMS for system identification","author":"chen","year":"2009","journal-title":"Proc Int Conf Acoust Speech Signal Process"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1003068"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511803161"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2013.6737022"},{"key":"31","first-page":"123","article-title":"Proximal algorithms","volume":"1","author":"parikh","year":"2013","journal-title":"Foundations and Trends in Optimization"},{"key":"9","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/978-1-4419-9569-8_10","article-title":"Proximal splitting methods in signal processing","author":"combettes","year":"2011","journal-title":"Fixed-Point Algorithms For Inverse Problems in Science and Engineering"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/24\/6\/065014"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/6856242\/06797935.pdf?arnumber=6797935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:16:50Z","timestamp":1642004210000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6797935\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8]]},"references-count":40,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2014.2317284","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8]]}}}