Jure Leskovec (@jure) Including joint work with Y . In KDD '16. Much research on graph processing systems but we don’t find it too useful… Why is that? 6,749. What tools do we use? Search for Jure Leskovec's work. (Sept 2011) New York Times on the Why Some Twitter Posts Catch On, and Some Don't. and J.L. Carl Yang. Python Q&A . Most frequent co-Author Most cited colleague Top subject. Remove; In this conversation. In WWW '13. Data mining. Emory University, Atlanta, GA, USA, Aditya Pal Google Scholar; Pankaj Gupta, Ashish Goel, Jimmy Lin, Aneesh Sharma, Dong Wang, and Reza Zadeh. Computer Science. Stanford Computer Science Professor Jure Leskovec. Questions Answers . Thanks to Jure Leskovec, Stanford and Panayiotis Tsaparas, Univ. Contributions. Node2Vec: Scalable Feature Learning for Networks. Cambridge University Press, Nov 13, 2014 - Computers. of Ioannina for slides ... Twitter: The who to follow service at Twitter How to organize the Web? This means: a = b-ε(ε>0, small positive constant) and then q=1/2 10/30/19 Jure Leskovec, Stanford CS224W: … Aditya Grover and Jure Leskovec. Jure Leskovec Stanford, USA jure@cs.stanford.edu Abstract Our personal social networks are big and cluttered, and currently there is no good way to organize them. What do we see are some big challenges? Name Type Number of items Description; soc-RedditHyperlinks: Subreddit hyperlinks: 858,490 links between 55,863 subreddits: Hyperlinks between subreddits on Reddit: … We know a lot about the structure . First try: Human curated Web directories Yahoo, DMOZ, LookSmart Second try: Web Search Information Retrieval attempts to find relevant docs in a small and trusted set Newspaper articles, Patents, etc. Search query Search Twitter. Associate Professor. Dec 7 2020. View author publications. Skip slideshow. GG = snap.GenGrid(snap.PUNGraph, 4, 3) GT = snap.GenTree(snap.PUNGraph, 4, 2) CS224W, Autumn 2015 Rok Sosič and Jure Leskovec, Stanford University Complete, circle, grid, star, tree graphs . 20. M.B., M.Z. But: Web is … 855--864. Jure Leskovec. Wired Engadget NYT . Home Jure Leskovec. Assistant Professor Jure Leskovec uses information collected from sites like Twitter, Wikipedia and Facebook to tackle big questions about how society works. COVID-19 research. Citation count. 6/28/2012 Jure Leskovec, Stanford University 5 . November 10, 2020 Stanford-led team creates a computer model that can predict how COVID-19 spreads in cities. My research group at Stanford: Mining and modeling large social and information networks Problems motivated by the Web and on-line media, large scale data We work with networks from FB, Yahoo, Twitter, LinkedIn, Wikimedia, StackOverflow . Jure Leskovec, ICDM 2012 24 ... Facebook (groups), Twitter (lists), G+ (circles) But circles have to be created manually! ICWSM-14, Ann Arbor, MI Rok Sosič and Jure Leskovec, Stanford University 20 If you encounter problems, please report them to us or post to the mailing list The most important step: MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. Users . 1/21/2010 Jure Leskovec & Anand Rajaraman, Stanford CS345a: Data Mining 2 ... Twitter DataData Blogs and news data Netflix Restaurant reviews Yahoo MusicMusic RatingsRatings 1/21/2010 Jure Leskovec & Anand Rajaraman, Stanford CS345a: Data Mining 6 Complete edit history of Wikipedia until January 2008 For everyevery singlesingle editedit thethe … 505--514. 337. Scores . … Email this page. Twitter, LinkedIn, Wikipedia, StackOverflow . Select . Publication counts. Want to have a model that can generate a realistic networks with realistic growth: Static Patterns Power Law Degree Distribution Small … Search Search. Personal Website. He focuses on statistical modeling of network structure, network evolution, and spread of information, influence and … Jure Leskovec. ICWSM -14, Ann Arbor, MI Rok Sosič and Jure Leskovec, Stanford University 2 Motivation Introduction to ... Twitter and Memetracker : Memetracker phrases, links and 467 million Tweets Citation networks: nodes represent papers, edges represent citations Collaboration networks: nodes represent scientists, edges represent collaborations (co-authoring a paper) Amazon … Publication … Perez, R. Sosič, A. Banarjee, M. Raison, R. Puttagunta , P. Shah . 2016. Social networking sites allow users to manually categorize their friends into social circles (e.g. As such “contagions” diffuse from a person to person they may go “viral,” and large cascades can form. Average Citation per Article. WWW-15, Florence, Italy Rok Sosič and Jure Leskovec, Stanford University 20 If you encounter problems, please report them to us or post to the mailing list The most important step: You can also search for this author in PubMed Google Scholar. Thus, one of the central questions is […] -15, Florence, Italy Rok Sosič and Jure Leskovec, Stanford University 13 Comparing methods on top 10 results ... Twitter and Memetracker : Memetracker phrases, links and 467 million Tweets Citation networks: nodes represent papers, edges represent citations Collaboration networks: nodes represent scientists, edges represent collaborations (co-authoring a paper) Amazon … higgs-twitter: Tweets: 456,631: 14,855,875: Spreading processes of the announcement of the discovery of a new particle with the features of the Higgs boson on 4th July 2012. Disclamer: Jure Leskovec net worth are calculated by comparing Jure Leskovec's influence on Google, Wikipedia, Youtube, Twitter, Instagram and Facebook with anybody else in the world. Jure Leskovec Includes joint work: Lars Backstrom, Manuel Gomez-Rodriguez, Jon Kleinberg, Andreas Krause, Seth Myers, Rok Sosic, Caroline Sue, Chenguan Zhu Information flows from a node to node like an epidemic How does information transmitted by mainstream media interact with social networks? graph mining. April 17, 2013. Continue reading articles from the COVID-19 research collection. However, a growing body of research has argued that virality and cascades may be inherently unpredictable. Jure Leskovec. This talk: … Leskovec's research area is machine learning and data science for complex, richly-labeled relational structures, graphs, … Jure Leskovec, l'un des auteurs de l'étude, explique que le modèle estime que "plafonner le taux d'occupation des points d'intérêt à 20% peut réduire les infections de plus de 80%". You can follow him on Twitter at @jure. Wastewater can help identify … Slashdot . Print. Computer Science . View research. 6/28/2012 Jure Leskovec, Stanford University 6 . Reliably models the global network structure using only 4 parameters! Join Construct Graph . Generally speaking, the bigger the hexagon is, the more valuable Jure Leskovec networth should be on the internet! 1 Review. 8/20/2015 Jure Leskovec (@jure), Stanford University 2 . Nous voudrions effectuer une description ici mais le site que vous consultez ne nous en laisse pas la possibilité. Now: Large on-line systems Social networks: On-line communities: Facebook, Twitter, ... E-mail, blogging, electronic markets Information networks: Hypertext, Wikipedia, Web . Small tech blog . 6/28/2012 Jure Leskovec, … Leskovec's research focuses on the analyzing and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. Jure Leskovec NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems December 2018, pp 6412–6422 Generating novel graph structures that optimize given objectives while obeying some given underlying rules is fundamental for chemistry, biology and social science research. Select . Twitter and Memetracker : Memetracker phrases, links and 467 million Tweets ... CS224W, Autumn 2015 Rok Sosič and Jure Leskovec, Stanford University. Spark on Canadian Broadcasting Corporation on Jure Leskovec on predictive social network analysis. Hits … For the more than two billion people who are now online, the Internet is an answer … Social networks play a central role in spreading of information, ideas, behaviors, and products. 2 . Scenario: ¡ Graph where everyone starts with all B ¡ Small set Sof early adopters of A §Hard-wire S–they keep using Ano matter what payoffs tell them to do ¡ Assume payoffs are set in such a way that nodes say: If more than q=50% of my friends take A I’ll also take A. Google Scholar; Pankaj Gupta, Venu Satuluri, Ajeet Grewal, Siva Gurumurthy, … Jure Leskovec, associate professor of computer science, member of Stanford Bio-X and Wu Tsai Neurosciences Institute. He co-founded a machine learning startup Kosei, which was later acquired by Pinterest. Kelly Servick | Stanford Engineering . Python . Jure Leskovec is an associate professor of Computer Science at Stanford University, the Chief Scientist at Pinterest, and an Investigator at the Chan Zuckerberg Biohub. Most frequent Affiliation Bibliometrics. 2013. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be … (Jan 2011) New York Times on the MemeTracker project that builds maps of what the Web is … Top keyword . WTF: The Who to Follow Service at Twitter. Leskovec received his bachelor’s degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University. Verified account Protected Tweets @ Suggested users Verified account Protected Tweets @ … Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman. Online Communities. Researchers across Stanford Engineering apply their expertise to better understand the virus. View research. 3 Posts . Videos of talks and tutorials Twitter: @jure 8/10/2012 Jure Leskovec (@jure), KDD Summer School 2012 5 . 8/11/2012 Jure Leskovec (@jure), KDD Summer School 2012 2 ... URLs and hashtags on Twitter (3) Phrases inside quotes: “…” 8/11/2012 Jure Leskovec (@jure), KDD Summer School 2012 4 Obscure tech story . (Feb 2011) MIT Technology Review on the Patterns of Temporal Variation in Online Media. Related Departments. What have we learned about these networks? Saved searches. “On Facebook 273 people know I am a dog.