Selected Books on Network Analysis

  • Scott J.P.: Social Network Analysis: A Handbook. SAGE Publications, 2000. Amazon.
  • Degenne A., Forsé M.: Introducing Social Networks. SAGE Publications, 1999. Amazon.
  • de Nooy W., Mrvar A., Batagelj V.: Exploratory Social Network Analysis with Pajek, CUP, 2005. Amazon. ESNA page; 2. izdaja 2012 Amazon; 3. izdaja 2018 CUP.
  • Hanneman R.A., Riddle M.: Introduction to social network methods. University of California, Riverside, 2005. WWW page.
  • Wasserman S., Faust K.: Social Network Analysis: Methods and Applications. CUP, 1994. Amazon.
  • Carrington P.J., Scott J., Wasserman S. (Eds.): Models and Methods in Social Network Analysis. CUP, 2005. Amazon.
  • Scott J., Carrington P.J. (Eds.): The SAGE Handbook of Social Network Analysis. London: SAGE, 2011. Amazon.
  • Doreian P., Batagelj V., Ferligoj A.: Generalized Blockmodeling, CUP, 2004. Amazon.
  • Lazega E.: The Collegial Phenomenon: The Social Mechanisms of Cooperation among Peers in a Corporate Law Partnership. OUP, 2001. Amazon.
  • Harary F., Norman R.Z., Cartwright D.: Structural Models: An Intoroduction to the Theory of Directed Graphs. John Wiley, 1965. Amazon.
  • Brandes U., Erlebach T. (Eds.): Network Analysis: Methodological Foundations. LNCS, Springer, Berlin 2005. Amazon.
  • Dorogovtsev S.N.: Lectures on Complex Networks. OUP, 2010. Amazon.
  • Easley D., Kleinberg J.: Networks, Crowds, and Markets. CUP, 2010. Amazon, WWW page.
  • Jackson M.O.: Social and Economic Networks. PUP, 2010. Amazon.
  • Newman M.E.J.: Networks, 2nd ed. OUP, 2018.
  • Rainie L., Wellman B.: Networked: The New Social Operating System. MIT Press, 2012. Amazon.
  • Batagelj, V, Doreian, P, Ferligoj, A, Kejžar, N: Understanding Large Temporal Networks and Spatial Networks: Exploration, Pattern Searching, Visualization and Network Evolution. Wiley Series in Computational and Quantitative Social Science. Wiley, October 2014.
  • Wolfgang Borutzky: Bond Graph Methodology: Development and Analysis of Multidisciplinary Dynamic System Models. Springer-Verlag London, 2010. Springer
  • Garry L. Robins: Doing Social Network Research: Network-based Research Design for Social Scientists. Sage, 2015. Sage
  • Albert-László Barabási: Network Science. Cambridge University Press, 2016. Amazon
  • Lazega, Emmanuel, Snijders, Tom A.B.: Multilevel Network Analysis for the Social Sciences: Theory, Methods and Applications. Springer, 2016. Springer
  • Ernesto Estrada: The Structure of Complex Networks: Theory and Applications. Oxford UP, 2011/16 Amazon
  • Ernesto Estrada, Maria Fox, Desmond J. Higham, Gian-Luca Oppo (eds.): Network Science: Complexity in Nature and Technology. Springer-Verlag, London, 2010
  • Ernesto Estrada, Philip A. Knight: A first course in network theory. Oxford University Press, 2015
  • Katharina A. Zweig: Network Analysis Literacy: A Practical Approach to the Analysis of Networks. Springer, 2016 Amazon
  • Douglas A. Luke: A User's Guide to Network Analysis in R. Springer.
  • Stephen P Borgatti, Martin G. Everett, Jeffrey C. Johnson: Analyzing Social Networks. SAGE Publications Ltd
  • Patrick Doreian, Vladimir Batagelj, Anuška Ferligoj (Eds.): Advances in Network Clustering and Blockmodeling. Wiley, Amazon, 2020.

Books on algorithms and graph theory

  • R. Sedgewick, M. Schidlowsky: Graph Algorithms (Algorithms in Java, Part 5), Third Edition. Addison-Wesley, 2003. Amazon.
  • R.K. Ahuja, T.L. Magnanti, J.B. Orlin: Network Flows: Theory, Algorithms, and Applications}. Prentice Hall, 1993. Amazon.
  • D.E. Knuth: The Stanford GraphBase: A Platform for Combinatorial Computing. Addison-Wesley, 1993. Amazon.
  • F.S. Roberts: Discrete Mathematical Models with Applications to Social, Biological, and Environmental Problems. Prentice Hall, 1976. Amazon.
  • M. Newman, A-L. Barabasi, D.J. Watts: The Structure and Dynamics of Networks}, Princeton, 2006. Amazon.
  • P. Baldi, P. Frasconi, P. Smyth: Modeling the Internet and the Web: Probabilistic Methods and Algorithms. John Wiley & Sons, 2003. Amazon.
  • J. Abello, P.M. Pardalos, M.G. Resende(Eds.): Handbook of Massive Data Sets}. Springer, 2002. Amazon.
  • François Fouss, Marco Saerens, Masashi Shimbo: Algorithms and Models for Network Data and Link Analysis. Cambridge University Press, 2016. CUP, Amazon
  • Henry Hexmoor: Computational Network Science: An Algorithmic Approach. Elsevier, 2014. Elsevier
  • Arne Thesen, J. William Schmidt: Computer Methods in Operations Research. Elsevier, 1978. Elsevier
  • Uri Wilensky, William Rand: An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. MIT Press, 2015. MIT
  • Kepner, Jeremy, Gilbert, John: Graph Algorithms in the Language of Linear Algebra. SIAM 2011 SIAM

Random graphs and network statistics

  • Kolaczyk E.D.: Statistical Analysis of Network Data: Methods and Models. Springer, Berlin 2009. Amazon.
  • Dean Lusher; Johan Koskinen; Garry Robins: Exponential Random Graph Models for Social Networks Theory, Methods, and Applications. CUP, 2012. CUP
  • Kolaczyk, Eric D., Csárdi, Gábor: Statistical Analysis of Network Data with R, 2nd ed.. Springer, 2020.
  • Gabor Csardi, Tamas Nepusz, Edoardo M. Airoldi: Statistical Network Analysis with igraph. manuscript
  • Eric D. Kolaczyk: Topics at the Frontier of Statistics and Network Analysis: (Re)Visiting the Foundations (SemStat Elements)
  • Eric D. Kolaczyk: Statistical Analysis of Network Data: Methods and Models. Springer-Verlag, New York, 2009
  • Massimo Franceschetti, Ronald Meester: Random Networks for Communication: From Statistical Physics to Information Systems. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, 2008
  • Peter G. Doyle, J. Laurie Snell: Carus Mathematical Monographs Random walks and electric networks.
  • James E. Gentle: Random Number Generation and Monte Carlo Methods, 2nd ed. Statistics and computing. Springer, 2003
  • Wolfgang Hörmann, Josef Leydold, Gerhard Derflinger: Automatic Nonuniform Random Variate Generation. Statistics and computing. Springer, 2004
  • Luc Devroye: Non-Uniform Random Variate Generation. Springer-Verlag, New York, 1986
  • Pierre Brémaud: Discrete Probability Models and Methods: Probability on Graphs and Trees, Markov Chains and Random Fields, Entropy and Coding. Probability Theory and Stochastic Modelling 78. Springer, 2017
  • Pierre Brémaud: Markov Chains - Gibbs Fields, Monte Carlo Simulation and Queues, 2 ed. Texts in Applied Mathematics 31. Springer, 2020
  • Pierre Brémaud: Probability Theory and Stochastic Processes. Springer, 2020
  • Markus Heydenreich, Remco van der Hofstad: Progress in High-Dimensional Percolation and Random Graphs. CRM Short Courses
  • Remco van der Hofstad: Random Graphs and Complex Networks, Volume I (draft), 2022 https://www.win.tue.nl/~rhofstad/NotesRGCN.pdf
  • Annibale, Alessia; Coolen, Anthony C. C.; Roberts, E. S: Generating Random Networks and Graphs. Oxford University Press, 2017
  • Béla Bollobás, Robert Kozma, Dezső Miklós (eds.): Handbook of Large-Scale Random Networks. Bolyai Society Mathematical Studies 18. Springer, 2008
  • Nicolas Privault: Understanding Markov Chains, 2nd ed. Springer Undergraduate Mathematics Series. Springer, Singapore, 2018
  • Carl Graham: Markov Chains: Analytic and Monte Carlo Computations. Wiley Series in Probability and Statistics. Wiley, 2014
  • Gagniuc, Paul A: Markov chains: from theory to implementation and experimentation. John Wiley & Sons, 2017
  • Sericola, Bruno: Markov chains: theory, algorithms and applications. Applied stochastic methods series. Iste, 2013
  • John G. Kemeny, J. Laurie Snell: Finite Markov Chains: With a New Appendix “Generalization of a Fundamental Matrix”. Undergraduate Texts in Mathematics. Springer, 1983
  • John G. Kemeny, J. Laurie Snell, Anthony W. Knapp: Denumerable Markov Chains: with a chapter of Markov Random Fields by David Griffeath, 2nd ed. Graduate Texts in Mathematics 40. Springer-Verlag, New York, 1976
  • Geoffrey Grimmett: Probability on Graphs: Random Processes on Graphs and Lattices, 2nd ed. IMS Textbooks.
  • David J. Marchette: Random graphs for statistical pattern recognition. Wiley series in probability and statistics.
  • Oded Goldreich: A primer on pseudorandom generators. University Lecture Series 55.American Mathematical Society, 2010
  • Yuri Suhov, Mark Kelbert: Probability and Statistics by Example: Volume 2, Markov Chains: A Primer in Random Processes and their Applications.
  • Bryan F.J. Manly: Randomization, Bootstrap and Monte Carlo Methods in Biology, 3rd ed. Texts in Statistical Science. Chapman and Hall/CRC, 2006
  • Göran Högnäs, Arunava Mukherjea: Probability Measures on Semigroups: Convolution Products, Random Walks and Random Matrices. Probability and Its Applications.
  • David Diez, Christopher Barr, Mine Cetinkaya-Rundel: Introductory Statistics with Randomization and Simulation. OpenIntro.
  • Alan Frieze, Michał Karoński: Introduction to Random Graphs. Cambridge University Press, 2016
  • Ronald T. Kneusel: Random numbers and computers. Springer International Publishing, 2018
  • Rabi Bhattacharya, Edward C. Waymire: Random Walk Brownian Motion and Martingales. Graduate Texts in Mathematics 292. Springer Nature Switzerland, 2021
  • Leonard Mlodinow: The Drunkard's Walk: How Randomness Rules Our Lives.
  • Луис Энрике Сукар: Вероятностные графовые модели. Принципы и приложения. ДМК Пресс, 2021
  • Rick Durrett: Random Graph Dynamics. Cambridge series in statistical and probabilistic mathematics. Cambridge University Press, 2007
  • Joel Spencer: The Strange Logic of Random Graphs. Algorithms and Combinatorics 22. Springer-Verlag, Berlin Heidelberg, 2001
  • Svante Janson, Tomasz Luczak, Andrzej Rucinski: Random graphs. Wiley-Interscience series in discrete mathematics and optimization. John Wiley, 2000
  • Béla Bollobás: Random Graphs, 2nd ed. Cambridge Studies in Advanced Mathematics 73. Cambridge University Press, 2001
  • Mathew Penrose: Random geometric graphs. Oxford studies in probability 5. Oxford University Press, 2003
  • Valentin F. Kolchin: Random graphs. Encyclopedia of mathematics and its applications 53. Cambridge University Press, 1999
pajek/info/books.txt · Last modified: 2022/08/14 02:49 by vlado
 
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