Emmanuel Rousseaux's publications
settings...
Bolzman C., Bernardi L. and Goff J.-M.L. (2016), "Situating Children of Migrants across Borders and Origins: A Methodological Overview" Springer.
BibTeX:
@book{BolzmanBernardiLeGoff2016,
  author = {C. Bolzman and L. Bernardi and J-M. Le Goff},
  editor = {C. Bolzman and L. Bernardi and J-M. Le Goff},
  title = {Situating Children of Migrants across Borders and Origins: A Methodological Overview},
  publisher = {Springer},
  year = {2016}
}

Peer-reviewed Conferences
Bürgin R., Ritschard G. and Rousseaux E. (2012), "Visualisation de séquences d'évènements", In Extraction et Gestion des Connaissances., January 31th - February 3th, 2012. Vol. E(23), pp. 559-560.
BibTeX:
@conference{Buergin2012,
  author = {Reto Bürgin and Gilbert Ritschard and Emmanuel Rousseaux},
  editor = {Yves Lechevallier and Guy Melançon and Bruno Pinaud},
  title = {Visualisation de séquences d'évènements},
  booktitle = {Extraction et Gestion des Connaissances},
  year = {2012},
  volume = {E},
  number = {23},
  pages = {559-560}
}
Bürgin R., Ritschard G. and Rousseaux E. (2012), "Exploration graphique de données séquentielles", In Atelier Fouille visuelle de données : Méthodologie et évaluation. Conférence EGC2012., January 31th - February 3th, 2012. , pp. 39-50.
BibTeX:
@conference{Buergin2012a,
  author = {Reto Bürgin and Gilbert Ritschard and Emmanuel Rousseaux},
  title = {Exploration graphique de données séquentielles},
  booktitle = {Atelier Fouille visuelle de données : Méthodologie et évaluation. Conférence EGC2012},
  year = {2012},
  pages = {39-50},
  url = {http://www.polytech.univ-nantes.fr/wikinfo/AtelierFVD2012/actes.pdf}
}

International journals with peer-reviewing
Cullati S., Rousseaux E., Gabadinho A., Courvoisier D.S. and Burton-Jeangros C. (2014), "Factors of change and cumulative factors in self-rated health trajectories: a systematic review", Advances in Life Course Research, Elsevier.., March, 2014. Vol. 19, pp. 14–27.
BibTeX:
@article{Cullati-Rousseaux-et-al-2014,
  author = {Stéphane Cullati and Emmanuel Rousseaux and Alexis Gabadinho and Delphine S Courvoisier and Claudine Burton-Jeangros},
  title = {Factors of change and cumulative factors in self-rated health trajectories: a systematic review},
  journal = {Advances in Life Course Research, Elsevier.},
  year = {2014},
  volume = {19},
  pages = {14–27},
  url = {http://www.sciencedirect.com/science/article/pii/S1040260813000415},
  doi = {10.1016/j.alcr.2013.11.002}
}

Peer-reviewed Conferences
Deville M. and Rousseaux E. (2014), "A Spatial Network Approach for Measuring the Differentiation between Content and Relational Dynamics in the Political Debate", In 7th Political Networks Conference, McGill University, Montreal, Canada., May 28-31th, 2014.
BibTeX:
@conference{Deville2014a,
  author = {Marion Deville and Emmanuel Rousseaux},
  title = {A Spatial Network Approach for Measuring the Differentiation between Content and Relational Dynamics in the Political Debate},
  booktitle = {7th Political Networks Conference, McGill University, Montreal, Canada},
  year = {2014}
}
Deville M. and Rousseaux E. (2014), "A Spatial Network Approach for Measuring the Differentiation between Content and Relational Dynamics in the Political Debate", In 4th Annual General Conference Of The European Political Science Association, Edinburgh, Scotland., June 19-21th, 2014.
BibTeX:
@conference{Deville2014b,
  author = {Marion Deville and Emmanuel Rousseaux},
  title = {A Spatial Network Approach for Measuring the Differentiation between Content and Relational Dynamics in the Political Debate},
  booktitle = {4th Annual General Conference Of The European Political Science Association, Edinburgh, Scotland},
  year = {2014}
}

Congress
Guarin A. and Rousseaux E. (2013), "Access to the labour market among second-generation immigrants in Switzerland", In 9e Congrès de la Société Suisse de Sociologie. Bern, June 26-28th, 2013.
BibTeX:
@conference{Guarin2013,
  author = {Andres Guarin and Emmanuel Rousseaux},
  title = {Access to the labour market among second-generation immigrants in Switzerland},
  booktitle = {9e Congrès de la Société Suisse de Sociologie},
  year = {2013}
}

Book Chapters
Guarin A. and Rousseaux E. (2016), "Labor market insertion risk factors for second-generation immigrants in Switzerland" , pp. xx-xx. Springer.
BibTeX:
@inbook{GuarinRousseaux2016labor,
  author = {Andres Guarin and Emmanuel Rousseaux},
  editor = {C. Bolzman and L. Bernardi and J-M. Le Goff},
  title = {Labor market insertion risk factors for second-generation immigrants in Switzerland},
  publisher = {Springer},
  year = {2016},
  pages = {xx-xx}
}

Research Seminars
Rousseaux E. (2011), "Arbres de décision pour la découverte de profils vulnérables", Research Seminars in Statistics for Social Sciences, Institut d'études démographiques et du parcours de vie, Université de Genève. Thesis at: Institut d'études démographiques et du parcours de vie, Université de Genève., December 1th, 2011.
BibTeX:
@researchseminar{Rousseaux2011,
  author = {Emmanuel Rousseaux},
  title = {Arbres de décision pour la découverte de profils vulnérables},
  organization = {Research Seminars in Statistics for Social Sciences},
  institution = {Institut d'études démographiques et du parcours de vie, Université de Genève},
  school = {Institut d'études démographiques et du parcours de vie, Université de Genève},
  year = {2011}
}

Peer-reviewed Conferences
Rousseaux E. and Ritschard G. (2012), "The Dataset project: Handling survey data in R", In LaCoSA 2012's Conference, Lausanne., June 6-8th, 2012.
BibTeX:
@conference{Rousseaux2012,
  author = {Emmanuel Rousseaux and Gilbert Ritschard},
  title = {The Dataset project: Handling survey data in R},
  booktitle = {LaCoSA 2012's Conference, Lausanne},
  year = {2012}
}

Research Seminars
Rousseaux E. (2012), "Handling survey data in R: the Dataset Project, first steps", Research Seminars in Statistics for Social Sciences, Institute for Demographic and Life Course Studies, University of Geneva. Thesis at: Institute for Demographic and Life Course Studies, University of Geneva., May 24th, 2012.
BibTeX:
@researchseminar{Rousseaux2012a,
  author = {Emmanuel Rousseaux},
  title = {Handling survey data in R: the Dataset Project, first steps},
  organization = {Research Seminars in Statistics for Social Sciences},
  institution = {Institute for Demographic and Life Course Studies, University of Geneva},
  school = {Institute for Demographic and Life Course Studies, University of Geneva},
  year = {2012}
}
Rousseaux E. (2012), "First steps towards a software framework for handling life course survey data in R", Rencontres Recherche et Méthodes, University of Lausanne, Institute for Demographic and Life Course Studies, University of Geneva. Thesis at: Institute for Demographic and Life Course Studies, University of Geneva., November 27th, 2012.
BibTeX:
@researchseminar{Rousseaux2012b,
  author = {Emmanuel Rousseaux},
  title = {First steps towards a software framework for handling life course survey data in R},
  organization = {Rencontres Recherche et Méthodes, University of Lausanne},
  institution = {Institute for Demographic and Life Course Studies, University of Geneva},
  school = {Institute for Demographic and Life Course Studies, University of Geneva},
  year = {2012}
}
Rousseaux E. (2012), "Advances in the Dataset R package", Research Seminars in Statistics for Social Sciences, Institute for Demographic and Life Course Studies, University of Geneva. Thesis at: Institute for Demographic and Life Course Studies, University of Geneva., December 6th, 2012.
BibTeX:
@researchseminar{Rousseaux2012c,
  author = {Emmanuel Rousseaux},
  title = {Advances in the Dataset R package},
  organization = {Research Seminars in Statistics for Social Sciences},
  institution = {Institute for Demographic and Life Course Studies, University of Geneva},
  school = {Institute for Demographic and Life Course Studies, University of Geneva},
  year = {2012}
}

Peer-reviewed Conferences
Rousseaux E., Bolano D. and Ritschard G. (2013), "Dataset: An efficient and secure software framework for handling survey data in R", In Population Days 2013, 10th edition, Brixen, Italy., February 6-8th, 2013. , pp. 44.
BibTeX:
@conference{Rousseaux2013,
  author = {Emmanuel Rousseaux and Danilo Bolano and Gilbert Ritschard},
  title = {Dataset: An efficient and secure software framework for handling survey data in R},
  booktitle = {Population Days 2013, 10th edition, Brixen, Italy},
  year = {2013},
  pages = {44},
  url = {http://www.sis-aisp.it/ocs-2.3.4/public/conferences/1/schedConfs/1/program-en_US.pdf}
}
Rousseaux E. and Ritschard G. (2013), "The Dataset project: Handling survey data in R", In 7th International Conference of Panel Data Users in Switzerland, Lausanne., February 15-16th, 2013. , pp. 37-38.
BibTeX:
@conference{Rousseaux2013a,
  author = {Emmanuel Rousseaux and Gilbert Ritschard},
  title = {The Dataset project: Handling survey data in R},
  booktitle = {7th International Conference of Panel Data Users in Switzerland, Lausanne},
  year = {2013},
  pages = {37-38},
  url = {http://www.swisspanel.ch/IMG/pdf/AbstractsDef.pdf}
}

Research Seminars
Rousseaux E. (2013), "Handling non-response in survey data: on the usage of weights", Research Seminars in Statistics for Social Sciences, Institute for Demographic and Life Course Studies, University of Geneva. Thesis at: Institute for Demographic and Life Course Studies, University of Geneva., May 23th, 2013.
BibTeX:
@researchseminar{Rousseaux2013b,
  author = {Emmanuel Rousseaux},
  title = {Handling non-response in survey data: on the usage of weights},
  organization = {Research Seminars in Statistics for Social Sciences},
  institution = {Institute for Demographic and Life Course Studies, University of Geneva},
  school = {Institute for Demographic and Life Course Studies, University of Geneva},
  year = {2013}
}

Peer-reviewed Conferences
Rousseaux E., Bolano D. and Ritschard G. (2013), "The Rsocialdata package: Handling survey data in R", In XXVII IUSSP International Population Conference, Busan, Republic of Korea., August 26-31th, 2013.
Abstract: In this article we introduce the Rsocialdata package. This package provides researchers in social sciences with high-level tools for handling survey data in R. As a key feature it allows to store, document and share complex survey data, as panel data and network data. It provides tools for efficiently exploring and recoding data, allowing researchers to proceed more quickly to the task of analysis. Finally, the software puts forward a new methodology for dealing with statistical methods. Adopting a programming syntax especially designed for scientists in social sciences and presenting outputs in PDF files with a ``ready-to-publish'' formatting, this methodology aims at focusing more quickly on the analysis. Furthermore, printing all parameters used to fine-tune a given statistical method together with the corresponding results facilitates reproducible research.
After an introduction to the design of the software, we present a full user guide with various examples based on the Swiss Household Panel data, allowing the reader to become autonomous with the software.
BibTeX:
@conference{Rousseaux2013c,
  author = {Emmanuel Rousseaux and Danilo Bolano and Gilbert Ritschard},
  title = {The Rsocialdata package: Handling survey data in R},
  booktitle = {XXVII IUSSP International Population Conference, Busan, Republic of Korea},
  year = {2013},
  url = {http://www.iussp.org/en/event/17/programme/paper/5940}
}

Research Seminars
Rousseaux E. and Guarin A. (2013), "Employment attainment of 2nd generation immigrants in Switzerland", Research Seminars in Statistics for Social Sciences, Institute for Demographic and Life Course Studies. Thesis at: Institute for Demographic and Life Course Studies. University of Geneva, Switzerland, September 19th, 2013.
BibTeX:
@researchseminar{Rousseaux2013d,
  author = {Emmanuel Rousseaux and Andres Guarin},
  title = {Employment attainment of 2nd generation immigrants in Switzerland},
  organization = {Research Seminars in Statistics for Social Sciences},
  institution = {Institute for Demographic and Life Course Studies},
  school = {Institute for Demographic and Life Course Studies},
  year = {2013}
}
Rousseaux E. and Deville M. (2014), "The R spnet package, plotting social networks on maps", Research Seminars in Statistics for Social Sciences, Institut d'études démographiques et du parcours de vie, Université de Genève. Thesis at: Institut d'études démographiques et du parcours de vie, Université de Genève., May 8th, 2014.
BibTeX:
@researchseminar{Rousseaux2014a,
  author = {Emmanuel Rousseaux and Marion Deville},
  title = {The R spnet package, plotting social networks on maps},
  organization = {Research Seminars in Statistics for Social Sciences},
  institution = {Institut d'études démographiques et du parcours de vie, Université de Genève},
  school = {Institut d'études démographiques et du parcours de vie, Université de Genève},
  year = {2014}
}

Peer-reviewed Conferences
Rousseaux E. and Ritschard G. (2014), "An association rule miner for unbalanced data based on artificial bee colony optimization", In 21st International Conference on Computational Statistics, Geneva, Switzerland., August 19-22th, 2014.
Abstract: Association rule plays a major role for mining relevant associations within large data. Classical algorithms, as for example the apriori algorithm, require to specify a minimum support to find frequent itemsets. In the case of significantly unbalanced class distributions, this may lead to miss interesting rules about minority classes. On the other side, by lowering the minimum support we would get too many and uninteresting rules. In this article we introduce a new approach based on an binary artificial bee colony optimization algorithm for mining rules involving low support classes. As this association rule miner is formulated as a combinatorial global optimization problem, it doesn't require to specify a minimum support. Discovered rules are pruned by a chi-squared test and the quality of a rule is assessed by its lift. First experiments have shown that the proposed algorithm is able discover relevant patterns on unbalanced data. Furthermore, our approach does not induce much more time complexity. The algorithm is developped in R and is available on demand.
BibTeX:
@conference{Rousseaux2014ar-abc,
  author = {Emmanuel Rousseaux and Gilbert Ritschard},
  title = {An association rule miner for unbalanced data based on artificial bee colony optimization},
  booktitle = {21st International Conference on Computational Statistics, Geneva, Switzerland},
  year = {2014},
  doi = {10.13140/2.1.3644.6086}
}
Rousseaux E. and Ritschard G. (2014), "The Rsocialdata project: handling and sharing longitudinal and network survey data with R", In Society for Longitudinal and Life Course Studies Annual Conference, Geneva, Switzerland., October 9-11th, 2014.
BibTeX:
@conference{Rousseaux2014rsocialdata-sharing,
  author = {Emmanuel Rousseaux and Gilbert Ritschard},
  title = {The Rsocialdata project: handling and sharing longitudinal and network survey data with R},
  booktitle = {Society for Longitudinal and Life Course Studies Annual Conference, Geneva, Switzerland},
  year = {2014}
}
Rousseaux E., Deville M. and Ritschard G. (2014), "The SPNET package: Plotting social networks on maps with R", In 3èmes Rencontres R, Montpellier, France., June 25-27th, 2014.
BibTeX:
@conference{rousseaux2014spnet-rencontresr3,
  author = {Emmanuel Rousseaux and Marion Deville and Gilbert Ritschard},
  title = {The SPNET package: Plotting social networks on maps with R},
  booktitle = {3èmes Rencontres R, Montpellier, France},
  year = {2014}
}

Research Seminars
Rousseaux E. and Ritschard G. (2015), "The Rsocialdata.network extension: handling and analysing egocentric network survey data in R", Research Seminars in Statistics for Social Sciences, Institute for Demographics and Socioeconomics Studies. Thesis at: Institute for Demographics and Socioeconomics Studies., May 7th, 2015.
BibTeX:
@researchseminar{Rousseaux2015-Rsocialdata.network-IDESO,
  author = {Emmanuel Rousseaux and Gilbert Ritschard},
  title = {The Rsocialdata.network extension: handling and analysing egocentric network survey data in R},
  organization = {Research Seminars in Statistics for Social Sciences},
  institution = {Institute for Demographics and Socioeconomics Studies},
  school = {Institute for Demographics and Socioeconomics Studies},
  year = {2015}
}

Peer-reviewed Conferences
Rousseaux E. and Ritschard G. (2015), "The Rsocialdata.network extension: Handling and analysing egocentric network survey data in R - beta release", In 4èmes Rencontres R, Grenoble, France., June 24-26th, 2015.
Abstract: This communication introduces the R package Rsocialdata.network. This package provides specific tools for dealing with network survey data in R. The package comes as an extension to the Rsocialdata package [1] by adding two new classes respectively designed to store (1) network survey variables (for instance emotional support, financial support, or conflict between family members) and (2) covariate variables describing members cited in the networks. These covariates generally include the family tie with the respondent as well as demographic variables: for instance gender, age, marital status, or education level. The framework allows to store network survey variables in one single variable instead of separated variables usually stored in a tabular form. All Rsocialdata features for survey data management are available, for instance the distinction between valid cases and missing values, handling several different missing value types, and a variable description. Most common network measures (centrality, density, in/out-degree, etc.) can directly be computed without any additional recoding or data preparation. Furthermore, the user has the possibility to link network variables with corresponding network covariate data. Specifically, the main features of the package are the net_extract and net_query functions. The net_extract function allows to stem new networks from existing networks using information from covariate variables. For instance, the user can generate a new network variable by removing for each respondent links coming from her/his father in one single step. This is particularly useful to assess the role played by a specific actor on the structure on the network (assessed for instance by the density or the in/out-degree). The net_query function offers facilities to easily retrieve networks based on criteria from both network and covariate information. For example the user can, in one single step, select networks based on the following properties: (1) the father is cited by the respondent (2) the father has a low education, and (3) the density of the network is lower than 0.2. This is particularly useful to model a hypothesis and generate dummies to be tested in regression models. We start this communication by introducing existing packages dealing with network data in R and motivating the development of this extension. Then we introduce the design of the package before to illustrate the package with an application on family configuration of the elderly in the Canton of Geneva, Switzerland. The package is currently available from the R-Forge.

[1] Rousseaux E., Bolano D. and Ritschard G. (2013), ``The Rsocialdata package: Handling survey data in R'', In XXVII IUSSP International Population Conference, Busan, Republic of Korea, August 26th to 31th, 2013.

BibTeX:
@conference{Rousseaux2015-Rsocialdata.network-RR4,
  author = {Emmanuel Rousseaux and Gilbert Ritschard},
  title = {The Rsocialdata.network extension: Handling and analysing egocentric network survey data in R - beta release},
  booktitle = {4èmes Rencontres R, Grenoble, France},
  year = {2015},
  doi = {10.13140/RG.2.1.3181.9366}
}
Rousseaux E. and Ritschard G. (2015), "Decision tree methods for discovering (cross-national) interactions in longitudinal data with imbalanced data", In Society for Longitudinal and Life Course Studies Annual Conference, Dublin, Ireland., October 18-21th, 2015.
BibTeX:
@conference{Rousseaux2015-TRIM-SLLS,
  author = {Emmanuel Rousseaux and Gilbert Ritschard},
  title = {Decision tree methods for discovering (cross-national) interactions in longitudinal data with imbalanced data},
  booktitle = {Society for Longitudinal and Life Course Studies Annual Conference, Dublin, Ireland},
  year = {2015}
}

Research Seminars
Rousseaux E. and Deville M. (2016), "La suite R debate: Outils méthologiques pour l’analyse du débat politique", Research Seminars of the Institute for Demographics and Socioeconomics Studies, Geneva School of Social Sciences. Thesis at: Geneva School of Social Sciences., May 26th, 2016.
BibTeX:
@researchseminar{RousseauxDeville2016debateIDESO,
  author = {Emmanuel Rousseaux and Marion Deville},
  title = {La suite R debate: Outils méthologiques pour l’analyse du débat politique},
  organization = {Research Seminars of the Institute for Demographics and Socioeconomics Studies},
  institution = {Geneva School of Social Sciences},
  school = {Geneva School of Social Sciences},
  year = {2016}
}