V. F. Lenzen; Stephen C. Pepper; George P. Adams; D. S. Mackay; Edward W. Strong; A. I. Melden; William R. Dennes University of California Press (2022) Kovakantinen kirja
Stephen B. Johnson; Thomas J. Gormley; Seth S. Kessler; Charles D. Mott; Ann Patterson-Hine; Karl M. Reichard; P Scandura John Wiley & Sons Inc (2011) Kovakantinen kirja
D.S. Brose; C.Wesley Cowan; Robert C. Mainfort; David G. Anderson; James W. Bradley; James A. Brown; R.P.Stephen Davis The University of Alabama Press (2005) Pehmeäkantinen kirja
Richard A. Brualdi; Ángeles Carmona; P. van den Driessche; Stephen Kirkland; Dragan Stevanović; Andrés M. Encinas; Mitjana Birkhauser Verlag AG (2018) Pehmeäkantinen kirja
Paul R. Krugman; Maurice Obstfeld; David A. Buchanan; Andrzej Huczynski; Michael P. Todaro; Stephen C. Smith; Bill Neale Pearson Education Limited (2006)
Sage Publications Ltd Sivumäärä: 384 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2022, 28.04.2022 (lisätietoa) Kieli: Englanti
This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way.
The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it:
• Discusses measures and techniques for analyzing social network data, including digital media • Explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks • Offers digital resources like practice datasets and worked examples that help you get to grips with R software
