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In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.

In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.

Pour sa dernière année de lycée, Camille a enfin la chance d'avoir ses meilleurs amis dans sa classe. Avec sa complice de toujours, Léa, avec Axel, Léo, Marie et leur joyeuse bande, la jeune fille découvre ce qui fait la vie. À quelques mois du bac, tous se demandent encore quel chemin ils vont prendre. Ils ignorent qu'avant l'été, le destin va leur en faire vivre plus que dans toute une vie... Du meilleur au pire, avec l'énergie délirante et l'intensité de leur âge, entre espoirs démesurés, convictions et doutes, ils vont expérimenter, partager et se battre. Il faut souvent traverser le pire pour vivre le meilleur Avec cette nouvelle aventure, Gilles signe un roman comme il en a le secret et qui, entre éclats de rire et émotions, nous ramène là où tout commence vraiment. Cette histoire est aussi la nôtre. Bienvenue dans ce que nous partageons de plus beau et qui ne meurt jamais. Le best-seller qui a déjà bouleversé plus de 150 000 lecteurs. Émouvant, drôle et plein de suspense

· Une bague de saphir trouvée sur un chemin conduisant à une sinistre usine abandonnée va entraîner Axel et Violette dans une étrange aventure.· Un livre avec des émotions et du suspense qui pourra être lu à tout âge, dès 8 ans.Les livres de la série "Mystères" peuvent se lire dans n’importe quel ordre, chaque épisode étant indépendant.

Axel, c’est le petit génie, gueule d’ange et créateur du jeu Meurtres à Babylone. Lorsque sa copine est retrouvée morte, disposée en X et entourée de polaroïds, impossible de ne pas le soupçonner ! Pourquoi s’enfuit-il à Berlin ? Que fait ce dandy parisien avec des terroristes ? En se lançant à sa poursuite, Louise Morvan devient l’héroïne d’un jeu bien réel, aux limites de l’art et de l’horreur.