Towards a Theoretical Framework for Analyzing Complex Linguistic Networks

  • Alexander Mehler
  • Andy Lücking
  • Sven Banisch
  • Philippe Blanchard
  • Barbara Job

Part of the Understanding Complex Systems book series (UCS)

Table of contents

  1. Front Matter
    Pages 1-20
  2. Cognition

  3. Topology

    1. Front Matter
      Pages 81-81
    2. Chris Biemann, Lachezar Krumov, Stefanie Roos, Karsten Weihe
      Pages 83-105
    3. Tanya Araújo, Sven Banisch
      Pages 107-131
    4. A. Paolo Masucci, Alkiviadis Kalampokis, Víctor M. Eguíluz, Emilio Hernández-García
      Pages 133-151
    5. Katharina Anna Zweig
      Pages 153-163
  4. Syntax

    1. Front Matter
      Pages 165-165
    2. Radek Čech, Ján Mačutek, Haitao Liu
      Pages 167-186
    3. Xinying Chen, Haitao Liu
      Pages 187-201
    4. Ramon Ferrer-i-Cancho
      Pages 203-234
  5. Dynamics

    1. Front Matter
      Pages 235-235
    2. Gareth J. Baxter
      Pages 257-277
    3. Suman Kalyan Maity, Animesh Mukherjee
      Pages 279-295
  6. Resources

    1. Front Matter
      Pages 297-297
    2. Maik Stührenberg, Nils Diewald, Rüdiger Gleim
      Pages 299-330

About this book


The aim of this book is to advocate and promote network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics. In this way, the book contributes first steps towards establishing a statistical network theory as a theoretical basis of linguistic network analysis the boarder of the natural sciences and the humanities.This book addresses researchers who want to get familiar with theoretical developments, computational models and their empirical evaluation in the field of complex linguistic networks. It is intended to all those who are interested in statisticalmodels of linguistic systems from the point of view of network research. This includes all relevant areas of linguistics ranging from phonological, morphological and lexical networks on the one hand and syntactic, semantic and pragmatic networks on the other. In this sense, the volume concerns readers from many disciplines such as physics, linguistics, computer science and information science. It may also be of interest for the upcoming area of systems biology with which the chapters collected here share the view on systems from the point of view of network analysis.


Complex Linguistic Networks Complex Networks Language Evolution Language Structure Linguistic Network Analysis Linguistic Systems

Editors and affiliations

  • Alexander Mehler
    • 1
  • Andy Lücking
    • 2
  • Sven Banisch
    • 3
  • Philippe Blanchard
    • 4
  • Barbara Job
    • 5
  1. 1.Department of Mathematics and Computer ScienceGoethe-University Frankfurt am MainFrankfurt am MainGermany
  2. 2.Department of Mathematics and Conputer SGoethe-University Frankfurt am MainFrankfurt am MainGermany
  3. 3.Department of Mathematics and Computer ScienceGoethe-University Frankfurt am MainFrankfurt am MainGermany
  4. 4.Department of PhysicsUniversity of BielefeldBielefeldGermany
  5. 5.Department of Linguistics and LiteratureUniversity of BielefeldBielefeldGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2016
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-662-47237-8
  • Online ISBN 978-3-662-47238-5
  • Series Print ISSN 1860-0832
  • Series Online ISSN 1860-0840
  • About this book