Intérêts de l’étude des interactions précoces mère-bébé par des méthodes automatisées de traitement du signal social : applications à la psychopathologie

2016 ◽  
Vol 200 (6) ◽  
pp. 1203-1220
Author(s):  
David Cohen ◽  
Sylvie Viaux ◽  
Catherine Saint-georges ◽  
Chloé Leclère ◽  
Mohamed Chétouani ◽  
...  
2016 ◽  
Vol 6 (2) ◽  
Author(s):  
David E. Scharff

Enrique Pichon-Rivière, a pioneer of psychoanalysis, worked and wrote in Argentina in the mid-twentieth century, but his work has not so far been translated into English. From the beginning, Pichon-Rivière understood the social applications of analytic thinking, centring his ideas on "el vinculo", which is generally translated as "the link", but could equally be translated as "the bond". The concept that each individual is born into human social links, is shaped by them, and simultaneously contributes to them inextricably ties people's inner worlds to the social world of family and society in which they live. Pichon-Rivière believed, therefore, that family analysis and group and institutional applications of analysis were as important as individual psychoanalysis. Many of the original family and couple therapists from whom our field learned trained with him. Because his work was centred in the analytic writings of Fairbairn and Klein, as well as those of the anthropologist George Herbert Mead and the field theory of Kurt Lewin, his original ideas have important things to teach us today. This article summarises some of his central ideas such as the link, spiral process, the single determinate illness, and the process of therapy.


2021 ◽  
Vol 27 (3) ◽  
pp. 32-36
Author(s):  
Judith Donath

Though today we think of the web and social media as nearly synonymous, the technology of the early web made social interaction difficult. The author discusses her work creating some of the web's earliest social applications and asks why our interfaces for seeing and communicating with each other online are still so primitive.


Author(s):  
Andrea Calì ◽  
Stefano Capuzzi ◽  
Mirko Michele Dimartino ◽  
Riccardo Frosini

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Wei Jiang ◽  
Ruijin Wang ◽  
Zhiyuan Xu ◽  
Yaodong Huang ◽  
Shuo Chang ◽  
...  

The fast developing social network is a double-edged sword. It remains a serious problem to provide users with excellent mobile social network services as well as protecting privacy data. Most popular social applications utilize behavior of users to build connection with people having similar behavior, thus improving user experience. However, many users do not want to share their certain behavioral information to the recommendation system. In this paper, we aim to design a secure friend recommendation system based on the user behavior, called PRUB. The system proposed aims at achieving fine-grained recommendation to friends who share some same characteristics without exposing the actual user behavior. We utilized the anonymous data from a Chinese ISP, which records the user browsing behavior, for 3 months to test our system. The experiment result shows that our system can achieve a remarkable recommendation goal and, at the same time, protect the privacy of the user behavior information.


2015 ◽  
Vol 2015 ◽  
pp. 1-18 ◽  
Author(s):  
Na Yu ◽  
Qi Han

Sensor-equipped mobile devices have allowed users to participate in various social networking services. We focus on proximity-based mobile social networking environments where users can share information obtained from different places via their mobile devices when they are in proximity. Since people are more likely to share information if they can benefit from the sharing or if they think the information is of interest to others, there might exist community structures where users who share information more often are grouped together. Communities in proximity-based mobile networks represent social groups where connections are built when people are in proximity. We consider information influence (i.e., specify who shares information with whom) as the connection and the space and time related to the shared information as the contexts. To model the potential information influences, we construct an influence graph by integrating the space and time contexts into the proximity-based contacts of mobile users. Further, we propose a two-phase strategy to detect and track context-aware communities based on the influence graph and show how the context-aware community structure improves the performance of two types of mobile social applications.


Author(s):  
Juan Jara ◽  
Florian Daniel ◽  
Fabio Casati ◽  
Maurizio Marchese

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