Travelled to:
1 × Canada
1 × France
1 × Korea
1 × United Kingdom
13 × USA
2 × Australia
2 × China
Collaborated with:
C.Faloutsos J.M.Kleinberg ∅ J.J.McAuley A.Krause M.Gomez-Rodriguez S.A.Myers D.P.Huttenlocher L.Backstrom M.Kim C.Guestrin J.Shawe-Taylor R.Kumar A.Tomkins D.Hallac S.Boyd R.Pandey B.Schölkopf C.Zhu E.Cho X.Shi D.A.McFarland A.Anderson Q.Zhao M.A.Erdogdu H.Y.He A.Rajaraman J.F.R.Jr. H.Tong A.J.M.Traina D.Shahaf J.Yang C.Suen J.Jacobs H.Wang M.Seshadri S.Machiraju A.Sridharan J.Bolot J.M.VanBriesen N.S.Glance Y.Perez R.Sosic A.Banerjee R.Puttagunta M.Raison P.Shah A.Tuzhilin D.Jensen G.Kossinets
Talks about:
network (11) graph (8) social (5) inform (5) model (4) larg (4) interact (2) influenc (2) scalabl (2) hidden (2)
Person: Jure Leskovec
DBLP: Leskovec:Jure
Facilitated 1 volumes:
Contributed to:
Wrote 27 papers:
- KDD-2015-HallacLB #clustering #graph #network #optimisation #scalability
- Network Lasso: Clustering and Optimization in Large Graphs (DH, JL, SB), pp. 387–396.
- KDD-2015-McAuleyPL #network
- Inferring Networks of Substitutable and Complementary Products (JJM, RP, JL), pp. 785–794.
- KDD-2015-ZhaoEHRL #named #predict #process #self #twitter
- SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity (QZ, MAE, HYH, AR, JL), pp. 1513–1522.
- SIGMOD-2015-PerezSBPRSL #graph #interactive #named
- Ringo: Interactive Graph Analytics on Big-Memory Machines (YP, RS, AB, RP, MR, PS, JL), pp. 1105–1110.
- ICML-c3-2013-Gomez-RodriguezLS #modelling
- Modeling Information Propagation with Survival Theory (MGR, JL, BS), pp. 666–674.
- KDD-2013-ShahafYSJWL #scalability
- Information cartography: creating zoomable, large-scale maps of information (DS, JY, CS, JJ, HW, JL), pp. 1097–1105.
- RecSys-2013-McAuleyL #comprehension #overview #rating #topic
- Hidden factors and hidden topics: understanding rating dimensions with review text (JJM, JL), pp. 165–172.
- HT-2012-Leskovec #navigation #network
- Human navigation in networks (JL), pp. 143–144.
- ICML-2012-KimL #graph #multi
- Latent Multi-group Membership Graph Model (MK, JL), p. 124.
- KDD-2012-AndersonHKL #case study #community #process #stack overflow
- Discovering value from community activity on focused question answering sites: a case study of stack overflow (AA, DPH, JMK, JL), pp. 850–858.
- KDD-2012-MyersZL #information management #network
- Information diffusion and external influence in networks (SAM, CZ, JL), pp. 33–41.
- KDD-2011-ChoML #network #social
- Friendship and mobility: user movement in location-based social networks (EC, SAM, JL), pp. 1082–1090.
- CHI-2010-LeskovecHK #network #social #social media
- Signed networks in social media (JL, DPH, JMK), pp. 1361–1370.
- KDD-2010-Gomez-RodriguezLK #network
- Inferring networks of diffusion and influence (MGR, JL, AK), pp. 1019–1028.
- ICML-2009-Leskovec #ml #network #scalability #social #summary #tutorial
- Tutorial summary: Large social and information networks: opportunities for ML (JL), p. 19.
- KDD-2009-LeskovecBK
- Meme-tracking and the dynamics of the news cycle (JL, LB, JMK), pp. 497–506.
- KDD-2008-KumarTFJKLT #network #social
- Social networks: looking ahead (RK, AT, CF, DJ, GK, JL, AT), p. 1060.
- KDD-2008-LeskovecBKT #evolution #network #social
- Microscopic evolution of social networks (JL, LB, RK, AT), pp. 462–470.
- KDD-2008-SeshadriMSBFL #graph #mobile
- Mobile call graphs: beyond power-law and lognormal distributions (MS, SM, AS, JB, CF, JL), pp. 596–604.
- ICML-2007-LeskovecF #graph #modelling #multi #scalability #using
- Scalable modeling of real graphs using Kronecker multiplication (JL, CF), pp. 497–504.
- KDD-2007-LeskovecKGFVG #detection #effectiveness #network
- Cost-effective outbreak detection in networks (JL, AK, CG, CF, JMV, NSG), pp. 420–429.
- ICML-2006-KrauseLG #topic
- Data association for topic intensity tracking (AK, JL, CG), pp. 497–504.
- KDD-2006-LeskovecF #graph #scalability
- Sampling from large graphs (JL, CF), pp. 631–636.
- VLDB-2006-RodriguesTTFL #graph #interactive #mining #named #scalability #visualisation
- GMine: A System for Scalable, Interactive Graph Visualization and Mining (JFRJ, HT, AJMT, CF, JL), pp. 1195–1198.
- KDD-2005-LeskovecKF #graph
- Graphs over time: densification laws, shrinking diameters and possible explanations (JL, JMK, CF), pp. 177–187.
- ICML-2003-LeskovecS #dataset #linear #programming
- Linear Programming Boosting for Uneven Datasets (JL, JST), pp. 456–463.
- JCDL-2010-ShiLM
- Citing for high impact (XS, JL, DAM), pp. 49–58.