02728cam a2200361 i 450000100090000000300040000900500170001300700030003000800410003301000170007402000250009104000430011608200210015910000410018024501030022126000510032430000480037533600730042333700710049633800690056736500170063650400510065352011070070465000780181165000750188965000690196475800510203375800970208488401030218190600450228494200180232999900190234722641754DLC20260223144300.0t|220608s2023    nyu      b    001 0 eng    a  2022022818  a9781108835763 (hbk.)  aDLCbengerdacJKRCdDLCdDLC-MRCdDLC00223a519.6bIZE.A1 aIzenman, Alan Julian.eauthor93943410aNetwork models for data science :btheory, algorithms, and applications /cby Alan Julian Izenman.  aNew York :bCambridge University Press,c2023.  axv, 484 p. ; bill. (chiefly color)c26 cm.  atextbtxt2rdacontent0http://id.loc.gov/vocabulary/contentTypes/txt  aunmediatedbn2rdamedia0http://id.loc.gov/vocabulary/mediaTypes/n  avolumebnc2rdacarrier0http://id.loc.gov/vocabulary/carriers/nc  b59.00cPound  aIncludes bibliographical references and index.  a"This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component"-- Provided by publisher. 0aSystem analysis0http://id.loc.gov/authorities/subjects/sh85131733939435 0aMathematical models0http://id.loc.gov/authorities/subjects/sh85082124 7aMATHEMATICS / Probability & Statistics / General2bisacsh934329  1http://id.loc.gov/resources/instances/22641754  4http://id.loc.gov/ontologies/bibframe/instanceOf1http://id.loc.gov/resources/works/22641754  aDLC bibframe2marc v3.1-devg20260123qDLCuhttps://github.com/lcnetdev/bibframe2marc/tree/v3.1-dev  a7bcbccorignewd1eecipf20gy-gencatlg  2ddcc1e23n0  c613842d613842