01828cam a2200253 i 450000500170000000800410001702000180005802000150007602200140009103500240010504000500012904100080017910000220018724500850020926000480029430000520034249000110039450400530040552009630045865000520142165000540147365000250152770000220155220151029083445.0151027s2014    xxuad  fr     001 0 eng d  a9781493909827  a1493909827  a2197-5736  a(OCoLC)ocn875239498  aCO-BoUCMbspacSandra PalaciodSandra Palacio0 aeng1 aKolaczyk, Eric D.10aStatistical analysis of network data with R cEric D. Kolaczyk, Gábor Csárdi  aNueva York (Estados Unidos)bSpringerc2014  axiii, 207 páginasbilustraciones y gráficos0 aUse R!  aIncluye referencias bibliográficas e índices3 aNetworks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk's book Statistical Analysis of Network Data (Springer, 2009).-- 7aAnálisis de sistemas xMetodos estadísticos 7aR (Lenguaje de programación para computadores)  7aAnálisis de datos 1 aCsárdi, Gábor