Suchergebnisse

Several areas of political research deal with sequences, that is, successions of standard categorical states or events: political sociology, evolution of regimes, analysis of speeches, geopolitics, comparative studies, or elections. At least three kinds of longitudinal methods, popular in political science, may attempt at treating political longitudinal objects: regression models, event history analysis and time series analysis. Yet, none can unfold the three dimensions of categorical time series, that is, the nature of the states/events composing the sequences, their order and length. Sequence analysis, with the optimal matching algorithm as a core tool, was specifically designed to this task. It is now commonly used in sociology and demography, and more and more in geography and history. This pragmatic, state-by-state comparison of sequences does not make any assumption about an underlying process that would generate sequences. The paper first defines sequences and their empirical applications. Then it details the principles of sequence analysis and its canonical steps. It shows how sequence analysis connects to and/or competes with other multivariate methods, before giving an overview of advanced issues and available software. To illustrate how fruitful this approach can be for political science, I apply it to a retrospective survey conducted among members of the main French activist organization mobilizing against AIDS.

Social sequence analysis includes a diverse and rapidly growing body of methods that social scientists have developed to help study complex ordered social processes, including chains of transitions, trajectories and other ordered phenomena. Social sequence analysis is not limited by content or time scale and can be used in many different fields, including sociology, communication, information science and psychology. Social Sequence Analysis aims to bring together both foundational and recent theoretical and methodological work on social sequences from the last thirty years. A unique reference book for a new generation of social scientists, this book will aid demographers who study life-course trajectories and family histories, sociologists who study career paths or work/family schedules, communication scholars and micro-sociologists who study conversation, interaction structures and small-group dynamics, as well as social epidemiologists

This book introduces a novel approach to analysing and mapping criminal behaviours. Every crime occurs as a chain of behaviours and events, from inception and preparation through to commission and exit from the crime scene. These pathways in crime are complex, dynamic sequences that are by their very nature difficult to analyse. Keatley provides a clear and coherent introduction to Behaviour Sequence Analysis, and the chapters address a wide range of criminal offences, from deception in interrogations through to sexual assaults, serial homicide, and terrorism. Interesting additional similarities between Behaviour Sequence Analysis and other well-known methods, such as crime linkage, crime script analysis, and T-Pattern Analysis are also outlined in detail. Academic researchers in Forensic Psychology and Criminology, as well as applied practitioners and investigators will find this an invaluable book, and will gain clear insight and understanding into the method in order to apply it to their own cases.

Multidomain/multichannel sequence analysis has become widely used in social science research to uncover the underlying relationships between two or more observed trajectories in parallel. For example, life-course researchers use multidomain sequence analysis to study the parallel unfolding of multiple life-course domains. In this article, the authors conduct a critical review of the approaches most used in multidomain sequence analysis. The parallel unfolding of trajectories in multiple domains is typically analyzed by building a joint multidomain typology and by examining how domain-specific sequence patterns combine with one another within the multidomain groups. The authors identify four strategies to construct the joint multidomain typology: proceeding independently of domain costs and distances between domain sequences, deriving multidomain costs from domain costs, deriving distances between multidomain sequences from within-domain distances, and combining typologies constructed for each domain. The second and third strategies are prevalent in the literature and typically proceed additively. The authors show that these additive procedures assume between-domain independence, and they make explicit the constraints these procedures impose on between-multidomain costs and distances. Regarding the fourth strategy, the authors propose a merging algorithm to avoid scarce combined types. As regards the first strategy, the authors demonstrate, with a real example based on data from the Swiss Household Panel, that using edit distances with data-driven costs at the multidomain level (i.e., independent of domain costs) remains easily manageable with more than 200 different multidomain combined states. In addition, the authors introduce strategies to enhance visualization by types and domains.

This open access book provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. The methodological contributions in this book include among others original propositions for measuring the precarity of work trajectories, Markov-based methods for clustering sequences, fuzzy and monothetic clustering of sequences, network-based SA, joint use of SA and hidden Markov models, and of SA and survival models. The applications cover the comparison of gendered occupational trajectories in Germany, the study of the changes in women market participation in Denmark, the study of typical day of dual-earner couples in Italy, of mobility patterns in Togo, of internet addiction in Switzerland, and of the quality of employment career after a first unemployment spell. As such this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics. ; Provides new perspectives and methods for sequence analysis Focusses on the link between sequence analysis and other methods for longitudinal data, especially event history analysis and Markov models Stresses the complementarity of sequence analysis and other models for longitudinal data Applications of sequence analysis in a whole range of different domains

6 Pags.- 1 Tabl.- 1 Fig. © The Authors 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com ; RSAT (Regulatory Sequence Analysis Tools) is a suite of modular tools for the detection and the analysis of cis-regulatory elements in genome sequences. Its main applications are (i) motif discovery, including from genome-wide datasets like ChIP-seq/ATAC-seq, (ii) motif scanning, (iii) motif analysis (quality assessment, comparisons and clustering), (iv) analysis of regulatory variations, (v) comparative genomics. Six public servers jointly support 10 000 genomes from all kingdoms. Six novel or refactored programs have been added since the 2015 NAR Web Software Issue, including updated programs to analyse regulatory variants (retrieve-variation-seq, variation-scan, convert-variations), along with tools to extract sequences from a list of coordinates (retrieve-seq-bed), to select motifs from motif collections (retrieve-matrix), and to extract orthologs based on Ensembl Compara (get-orthologs-compara). Three use cases illustrate the integration of new and refactored tools to the suite. This Anniversary update gives a 20-year perspective on the software suite. RSAT is well-documented and available through Web sites, SOAP/WSDL (Simple Object Access Protocol/Web Services Description Language) web services, virtual machines and stand-alone programs at http://www.rsat.eu/. ; French Government implemented by RENABI-IFB program [ANR-11-INSB-0013] to N.T.T.N.; ANR [ANR-14-CE11-0006-02] to M.T.C. and D.T.; A.M.-R.'s laboratory is supported by a CONACYT grant [269449]; Programa de Apoyo a Proyectos de Investigación e Innovación Tecnológica – Universidad Nacional Autónoma de México (PAPIIT-UNAM) grant [IA206517]; M.T.-C., A.M.R and D.T. further acknowledge SEP-CONACYT – ECOS-ANUIES support. J.A.C.M. benefited from a PhD grant from the Ecole Doctorale des Sciences de la Vie et de la Sant´e, Aix-Marseille Université, and is supported by Norwegian Research Council [187615]; Helse Sør-Øst, and University of Oslo through the Centre for Molecular Medicine Norway (NCMM); B.C.M. was funded by Spanish MINECO [AGL2016-80967-R] and by Aix-Marseille Universit´e as Chercheur Invit´e in 2015; C.D.R.-E.'s laboratory is supported by a Wellcome Trust Seed Award [204562/Z/16/Z]; PAPIIT-UNAM grant [IA200318]; R.O. is supported by a PhD studentship from CONACYT. Funding for open access charge: Agence Nationale de la Recherche. ; Peer reviewed

This paper aims to analyse the family life course trajectories of 1970–1984 birth cohorts in Lihuania. It applies the sequence analysis methods and is based on the Families and Inequalities Survey Dataset collected in 2019. The method provides the opportunities to examine the family life course in a holistic way and has not been used in family demography research in Lithuania so far. The results prove that cohabitation became a normative event in the family formation process, the duration of cohabitation increases, however marriage remains the dominant family arrangement for childrearing. Clasterization of sequences revealed four models of family life trajectories, that reflect the diversity and de-standartization of the family life course.