1.

Record Nr.

UNINA9910416483303321

Autore

Laurens Jean-Paul

Titolo

1 sur 500 : La réussite scolaire en milieu populaire / / Jean-Paul Laurens

Pubbl/distr/stampa

Toulouse, : Presses universitaires du Midi, 2019

ISBN

2-8107-1051-1

Descrizione fisica

1 online resource (261 p.)

Soggetti

Academic achievement - France - Case studies

Children of working parents - Education - France - Case studies

Social mobility - France - Case studies

Lingua di pubblicazione

Francese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

Un sur cinq cents est un ordre de grandeur. Il signifie la probabilité qu’un enfant d’ouvrier né dans les années soixante a d’obtenir un diplôme d’ingénieur dans les années quatre-vingts. La sociologie s’est longtemps préoccupée des raisons de l’échec scolaire en milieu populaire ; mais, du même coup, elle a négligé les raisons d’éventuelles réussites qui, deux siècles après la Révolution française, restent, à vrai dire, marginales.  Qui est cet enfant d’ouvrier sur cinq cents qui réalise une brillante scolarité ? Pourquoi celui-ci réussit-il alors que tous échouent ? Qui sont ses parents et grands-parents ? Quelles sont les raisons sociales et familiales de ce succès exceptionnel ? Quelles en sont les données structurelles et sociétales ? Peut-on repérer quelques-unes des “recettes” de la réussite scolaire en milieu populaire ?  Le projet social que se donne la lignée familiale, du fait d’une trajectoire sociale souvent instable et frustrante (mobilité sociale descendante du père par rapport au grand-père, non-respect de l’homogamie entre le père et la mère, immigration familiale, descendance restreinte, arrêt prématuré des études parentales...) est l’élément fondamental et structurant que l’auteur place au centre d’une analyse “socio-généalogique”.



2.

Record Nr.

UNISALENTO991004380429407536

Autore

Force, James E.

Titolo

Essays on the context, nature and influence of Isaac Newtonʼs theology / by James E. Force and Richard H. Popkin

Pubbl/distr/stampa

Dordrecht [etc.] : Kluwer Academic Publishers, 1990

ISBN

0792305833

Descrizione fisica

IX, 226 p. : ill. ; 25 cm

Collana

Archives internationales d'histoire des idées = International archives of the history of ideas ; 129

Altri autori (Persone)

Popkin, Richard H.

Disciplina

273.8092

Soggetti

Newton, Isaac Religione

Newton, Isaac Religione

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



3.

Record Nr.

UNINA9910300604603321

Titolo

Network Intelligence Meets User Centered Social Media Networks / / edited by Reda Alhajj, H. Ulrich Hoppe, Tobias Hecking, Piotr Bródka, Przemyslaw Kazienko

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-90312-8

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (VI, 247 p. 63 illus., 54 illus. in color.)

Collana

Lecture Notes in Social Networks, , 2190-5436

Disciplina

004.60151982

Soggetti

Sociology - Methodology

Graph theory

Data mining

Telemarketing

Internet marketing

Sociological Methods

Graph Theory

Data Mining and Knowledge Discovery

Digital Marketing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Data-based centrality measures -- Extracting the Main Path of historic events from Wikipedia -- Simulating trade in economic networks with TrEcSim -- Community Aliveness: Discovering interaction decay patterns in online social communities -- Network Patterns of Direct and Indirect Reciprocity in edX MOOC Forums -- Targeting influential nodes for recovery in bootstrap percolation on hyperbolic networks -- Trump versus Clinton – Twitter communication during the US primaries -- Extended feature-driven graph model for Social Media Networks -- Market basket analysis using minimum spanning trees -- Behavior-based relevance estimation for social networks interaction relations -- Sponge walker: Community detection in large directed social networks using local structures and random walks -- Identifying promising research topics in Computer Science -- Identifying accelerators of



information diffusion across social media channels  -- Towards anILP approach for learning privacy heuristics from users' regrets -- Strength of nations: A case study on estimating the influence of leading countries using social media analysis -- Incremental learning in dynamic networks for node classification.

Sommario/riassunto

This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. It contains the best papers of notable scientists from the 4th European Network Intelligence Conference (ENIC 2017) that have been peer reviewed and expanded into the present format. The aim of this text is to share knowledge and experience as well as to present recent advances in the field. The book is a nice mix of basic research topics such as data-based centrality measures along with intriguing applied topics, for example, interaction decay patterns in online social communities. This book will appeal to students, professors, and researchers working in the fields of data science, computational social science, and social network analysis. .