Biber example

A simple example of how to use “biber” for your

PhD dissertation

Nathalie Villa-Vialaneix

February 3, 2014

Contents

1 First chapter 21.1 What I want to explain . . . . . . . . . . . . . . . . . . . . . . . 21.2 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2

2 Second chapter 3

A Global bibliography 4

B Personal bibliography 6

1

Chapter 1

First chapter

1.1 What I want to explain

In this chapter, you cite interesting papers, such as (Newman and Girvan 2004;Fortunato 2010).

1.2 References

Then, the references corresponding to the first chapter are displayed below.

Fortunato, S. (2010). “Community detection in graphs”. In: Physics Reports486, pp. 75–174. url: http://arxiv.org/pdf/0906.0612v2.

Newman, M.E.J. and M. Girvan (2004). “Finding and evaluating communitystructure in networks”. In: Physical Review, E 69, p. 026113. doi: 10.1103/PhysRevE.69.026113. url: http://www.citebase.org/abstract?id=oai%3AarXiv.org%3Acond-mat%2F0308217.

2

Chapter 2

Second chapter

In the second chapter, you have other interesting papers, like (Fortunato 2010;Hammer and Hasenfuss 2010; Boulet et al. 2008).

The corresponding papers (i.e., cited in the second chapter) are listed below.

Boulet, R., B. Jouve, F. Rossi, and N. Villa (2008). “Batch kernel SOM andrelated Laplacian methods for social network analysis”. In: Neurocomputing71.7-9, pp. 1257–1273. doi: doi:10.1016/j.neucom.2007.12.026.


Hammer, B. and A. Hasenfuss (Sept. 2010). “Topographic mapping of largedissimilarity data sets”. In: Neural Computation 22.9, pp. 2229–2284.

3

Appendix A

Global bibliography

This chapter is dedicated to a summary of the cited bibliography.

Bendhaıba, L., M. Olteanu, and N. Villa-Vialaneix (2013). “SOMbrero: cartesauto-organisatrices stochastiques pour l’integration de donnees decrites pardes tableaux de dissimilarites”. In: 2emes Rencontres R BoRdeaux. (June 27–26, 2013). Lyon, France.



Fortunato, S. and M. Barthelemy (2007). “Resolution limit in community de-tection”. In: Proceedings of the National Academy of Sciences. Vol. 104. 1.doi:10.1073/pnas.0605965104; URL: http://www.pnas.org/content/104/1/36.abstract, pp. 36–41.

Hammer, B., A. Gisbrecht, A. Hasenfuss, B. Mokbel, F.M. Schleif, and X. Zhu(2011). “Topographic Mapping of Dissimilarity Data”. In: Advances in Self-Organizing Maps (Proceedings of the 8th Workshop on Self-Organizing Maps,WSOM 2011). Ed. by J. Laaksonen and T. Honkela. Vol. 6731. Lecture Notesin Computer Science. Espoo, Finland: Springer, pp. 1–15.

Hammer, B. and A. Hasenfuss (Sept. 2010). “Topographic mapping of largedissimilarity data sets”. In: Neural Computation 22.9, pp. 2229–2284.

Newman, M.E.J. (2001). “The structure of scientific collaboration networks”.In: Proceedings of the National Academy of Sciences of the United States ofAmerica 98, p. 0007214. doi: 10.1073pnas.021544898.

— (2002). “Spread of epidemic disease on networks”. In: Physical Review, E66.016128. doi: 10.1103/PhysRevE.66.016128.

— (2003a). “Mixing patterns in networks”. In: Physical Review, E 67,p. 026126. doi: 10.1103/PhysRevE.67.026126. url: http://prola.

aps.org/abstract/PRE/v67/i2/e026126.— (2003b). “The structure and function of complex networks”. In: SIAM Re-

view 45, pp. 167–256.— (2006). “Finding community structure in networks using the eigenvectors of

matrices”. In: Physical Review, E 74.036104. url: http://arxiv.org/abs/physics/0605087.

4

Newman, M.E.J., A.L. Barabasi, and D.J. Watts (2006). The Structure andDynamics of Networks. Princeton University Press.

Newman, M.E.J. and M. Girvan (2004). “Finding and evaluating communitystructure in networks”. In: Physical Review, E 69, p. 026113. doi: 10.1103/PhysRevE.69.026113. url: http://www.citebase.org/abstract?id=oai%3AarXiv.org%3Acond-mat%2F0308217.

Newman, M.E.J., D.J. Watts, and S.H. Strogatz (2002). “Random graph modelsof social networks”. In: Proceedings of the National Academy of Sciences ofthe United States of America 99, pp. 2566–2572.

Olteanu, M. and N. Villa-Vialaneix (2013). “On-line relational and multiplerelational SOM”. In: Neurocomputing. Forthcoming.

Paegelow, M., M.T. Camacho-Olmedo, F. Ferraty, L. Ferre, P. Sarda, andN. Villa (2008). “Modelling Environmental Dynamics”. In: ed. by M.Paegelow and M.T. Camacho-Olmedo. Environmental Science and Engineer-ing. Berlin/Heidelberg: Springer. Chap. Prospective modelling of environ-mental dynamics. A methodological comparison applied to mountain landcover changes, pp. 141–168. isbn: 978-3-540-68489-3.

5

Appendix B

Personal bibliography


Olteanu, M. and N. Villa-Vialaneix (2013). “On-line relational and multiplerelational SOM”. In: Neurocomputing. Forthcoming.

6

Business

Biber example