Time-aware Egocentric network-based User Profiling

International audienceImproving the egocentric network-based user's profile building process by taking into account the dynamic characteristics of social networks can be relevant in many applications. To achieve this aim, we propose to apply a time-aware method into an existing egocentric-based user profiling process, based on previous contributions of our team. The aim of this strategy is to weight user's interests according to their relevance and freshness. The time awareness weight of an interest is computed by combining the relevance of individuals in the user's egocentric network (computed by taking into account the freshness of their ties) with the information relevance (computed by taking into account its freshness). The experiments on scientific publications networks (DBLP/Mendeley) allow us to demonstrate the effectiveness of our proposition compared to the existing time-agnostic egocentric network-based user profiling process

Enrichissement du profil utilisateur à partir de son réseau social dans un contexte dynamique : application d'une méthode de pondération temporelle

International audienceLe profil de l’utilisateur est un élément central dans les systèmes d’adaptation de l’information. Les réseaux sociaux numériques représentent une source d'informations très riche sur l’utilisateur. Nous nous intéressons au processus d’enrichissement du profil utilisateur à partir de son réseau social. Ce processus extrait les intérêts de l’utilisateur à partir des individus dans son réseau égocentrique afin de construire la dimension sociale du profil de l'utilisateur. Afin de prendre en compte le caractère dynamique des réseaux sociaux, nous proposons, dans ce travail, de construire cette dimension sociale en intégrant un critère temporel afin de pondérer les intérêts de l’utilisateur. Ce poids "temporel", qui reflète la pertinence d’un intérêt, est calculé, d’une part, à partir de la pertinence des individus du réseau égocentrique de l’utilisateur en prenant en compte la fraicheur de leurs liens avec l’utilisateur et, d’autre part, à partir de la pertinence des informations qu’ils partagent en prenant en compte la fraicheur de ces informations. Les expérimentations sur les réseaux de publicationsscientifiques DBLP et Mendeley ont permis de montrer montrer que notre proposition fournit des résultats plus satisfaisants que ceux du processus existant

Improved Annealing Process for 6H-SiC p⁺-n Junction Creation by Al Implantation

International audienceFive-fold Al implantations at both room temperature and 300°C ranging from 25 keV to 300 keV and a total fluence of 1.75x10 15 cm-2 , have been performed in 6H-SiC epilayers to create p +-n junctions. The samples have been annealed at 1700°C during 30 mn in an inductively heated furnace especially configured. Surface effects, recrystallization, dopant distribution and electrical activation are investigated by XPS, RBS, SIMS and sheet resistance measurements. For both RT and 300°C-implanted samples, good recrystallization and surface stoichiometry are found as well as no dopant loosing and an interesting electrical activation (46% and 99%, respectively). Introduction p +-n junctions in SiC power devices must be realized by ion implantation due to very low diffusion coefficients of dopants in silicon carbide. SiC high density and its structural crystallinity involve a delicate post-implantation annealing. The implantation temperature, annealing environment, time and temperature of annealing and the heating rate are the essential parameters to reorder the crystal damage induced by ion implantation and to activate the dopants by migrating in SiC atomic sites. Initially, after ion implantation, almost all Al dopants are distributed in interstitial sites, where they are not electrically active. We utilized a JIPELEC TM rf induction furnace. This technique of annealing has significant advantages such as the very high rising slope in temperature and the very localized zone of heating (the susceptor). But this one implies high temperature variations, vertically in the enclosure and laterally on the surface of the SiC wafers. These temperature gradients may cause an etching of, or a layer deposition on the SiC surface. Moreover, Si is known to volatilize towards 1400°C at one atmosphere pressure, and in lack of a Si supersaturating vapor the carbonization of the surface is inevitable. This paper presents the results of an optimized thermal rf annealing, which avoids these problems

Improved Annealing Process for 6H-SiC p⁺-n Junction Creation by Al Implantation

International audienceFive-fold Al implantations at both room temperature and 300°C ranging from 25 keV to 300 keV and a total fluence of 1.75x10 15 cm-2 , have been performed in 6H-SiC epilayers to create p +-n junctions. The samples have been annealed at 1700°C during 30 mn in an inductively heated furnace especially configured. Surface effects, recrystallization, dopant distribution and electrical activation are investigated by XPS, RBS, SIMS and sheet resistance measurements. For both RT and 300°C-implanted samples, good recrystallization and surface stoichiometry are found as well as no dopant loosing and an interesting electrical activation (46% and 99%, respectively). Introduction p +-n junctions in SiC power devices must be realized by ion implantation due to very low diffusion coefficients of dopants in silicon carbide. SiC high density and its structural crystallinity involve a delicate post-implantation annealing. The implantation temperature, annealing environment, time and temperature of annealing and the heating rate are the essential parameters to reorder the crystal damage induced by ion implantation and to activate the dopants by migrating in SiC atomic sites. Initially, after ion implantation, almost all Al dopants are distributed in interstitial sites, where they are not electrically active. We utilized a JIPELEC TM rf induction furnace. This technique of annealing has significant advantages such as the very high rising slope in temperature and the very localized zone of heating (the susceptor). But this one implies high temperature variations, vertically in the enclosure and laterally on the surface of the SiC wafers. These temperature gradients may cause an etching of, or a layer deposition on the SiC surface. Moreover, Si is known to volatilize towards 1400°C at one atmosphere pressure, and in lack of a Si supersaturating vapor the carbonization of the surface is inevitable. This paper presents the results of an optimized thermal rf annealing, which avoids these problems

YAG nano-light sources with high Ce concentration

We investigate the luminescence properties of 10 nm YAG nanoparticles doped with Ce ions at 0.2%, 4% and 13% that are designed as active probes for Scanning Near field Optical Microscopy. They are produced by a physical method without any subsequent treatment, which is imposed by the desired application. The structural analysis reveals the amorphous nature of the particles, which we relate to some compositional defect as indicated by the elemental analysis. The optimum emission is obtained with a doping level of 4%. The emission of the YAG nanoparticles doped at 0.2% is strongly perturbed by the crystalline disorder whereas the 13% doped particles hardly exhibit any luminescence. In the latter case, the presence of Ce4+ ions is confirmed, indicating that the Ce concentration is too high to be incorporated efficiently in YAG nanoparticles in the trivalent state. By a unique procedure combining cathodoluminescence and Rutherford backscattering spectrometry, we demonstrate that the enhancement of the particles luminescence yield is not proportional to the doping concentration, the emission enhancement being larger than the Ce concentration increase. Time-resolved photoluminescence reveals the presence of quenching centres likely related to the crystalline disorder as well as the presence of two distinct Ce ions populations. Eventually, nano-cathodoluminescence indicates that the emission and therefore the distribution of the doping Ce ions and of the defects are homogeneous

Toward a combinatorial analysis and parametric study to build time-aware social profiles.

Research has shown the effectiveness of inferring user interests from social neighbors, also called "social profiling". However, the evolution in the social profile is not widely taken into consideration. To overcome this drawback, we propose a time-aware social profiling method that considers the temporal factors of the information and the relationships between the user and his/her social neighbors. This method aims at weighting user interests in the social profile, by applying a time decay function. The temporal score of a given interest is computed by combining the temporal score of information used to extract the interests with the temporal score of individuals who share the information in the network. The experiments conducted on a co-authorship network, DBLP showed that the time-aware social profiling process applying our proposed time-aware method outperforms the existing time-agnostic social profiling process. The combinatorial analysis and the parametric study led us to observe that in the context of co-authorship network, the individual temporal score has more influence than the information temporal score. As this kind of network does not exhibit a rapid evolution of information and relationships, to obtain a relevant social profile, the information should be damped slowly

A Comparative Study of Two Egocentric-based User Profiling Algorithms Experiment in Delicious

With the growing amount of social media contents, the user needs more accurate information that reflects his interests. We focus on deriving user’s profile and especially user’s interests, which are key elements to improve adaptive mechanisms in information systems (e.g. recommendation, customization). In this paper, we are interested in studying two approaches of user’s profile derivation from egocentric networks: individual-based approach and community-based approach. As these approaches have been previously applied in a co-author network and have shown their efficiency, we are interested in comparing them in the context of social annotations or tags. The motivation to use tagging information is that tags are proved relevant by many researches to describe user’s interests. The evaluation in Delicious social databases shows that the individual-based approach performs well when the semantic weight of user’s interests is taken more in consideration and the community-based approach perf orms better in the opposite case. We also take into consideration the dynamic of social tagging networks. To study the influence of time in the efficiency of the two user’s profile derivation approaches, we have applied a time-awareness method in our comparative study. The evaluation in Delicious demonstrates the importance of taking into account the dynamic of social tagging networks to improve effectiveness of the tag-based user profiling approaches

A case study on the influence of the user profile enrichment on buzz propagation in social media: Experiments on Delicious

The user is the main contributor for creating information in social media. In these media, users are influenced by the information shared through thenetwork. In a social context, there are so-called “buzz”, which is a technique to make noise around an event. This technique engenders that several users will be interested in this event at a time t. A buzz is then popular information in a specific time. A buzz may be a fact (true information) or a rumour (fake, false information). We are interested in studying buzz propagation through time in the social network Delicious. Also, we study the influence of enriched user profilesthat we proposed [2] to propagate the buzz in the same social network. In this paper, we state a case study on some information of the social network Delicious. This latter contains social annotations (tags) provided by users. These tags contribute to influence the other users to follow this information or to use it. This study relies onthree main axes: 1) we focus on tags considered as buzz and analyse their propagation through time 2) we consider a user profile as the set of tags provided by him. We will use the result of our previous work on dynamic user profile enrichment in order to analyse the influence of this enrichment in the buzz propagation. 3) we analyse each enriched user profile in order to show if the enrichment approach anticipate the buzz propagation. So, we can see the interest of filtering the information in order to avoid potential rumours and then, to propose relevant results to the user (e.g. avoid “bad” recommendation)

Studying the Boundary Layer Late Afternoon nd Sunset Turbulence (BLLAST)

At the end of the afternoon, when the surface heat fluxes start to sharply decrease, the CBL turns from a convective well-mixed layer to an intermittently turbulent residual layer overlying a stably-stratified boundary layer. This transition raises several observational and modeling issues. Even the definition of the boundary layer during this period is fuzzy, since there is no consensus on what criteria to use and no simple scaling laws to apply. Yet it plays an important role in such diverse atmospheric phenomena as transport and diffusion of trace constituents or wind energy production. This phase of the diurnal cycle remains largely unexplored, partly due to the difficulty of measuring weak and intermittent turbulence, anisotropy, horizontal heterogeneity, and rapid time changes. The Boundary Layer Late Afternoon and Sunset Turbulence (BLLAST) project is gathering about thirty research scientists from the European Union and the United States to work on this issue. A field campaign (BLLAST-FE) is planned for spring or summer 2011 in Europe. BLLAST will utilize these observations, as well as previous datasets, large-eddy and direct numerical simulations, and mesoscale modeling to better understand the processes, suggest new parameterizations, and evaluate forecast models during this transitional period. We will present the issues raised by the late afternoon transition and our strategy to study it.Peer ReviewedPostprint (published version

Studying the Boundary Layer Late Afternoon and Sunset Turbulence (BLLAST)

At the end of the afternoon, when the surface heat fluxes start to sharply decrease, the CBL turns from a convective well-mixed layer to an intermittently turbulent residual layer overlying a stably-stratified boundary layer. This transition raises several observational and modelling issues. Even the definition of the boundary layer during this period is fuzzy, since there is no consensus on what criteria to use and no simple scaling laws to apply. Yet it plays an important role in such diverse atmospheric phenomena as transport and diffusion of trace constituents or wind energy production. This phase of the diurnal cycle remains largely unexplored, partly due to the difficulty of measuring weak and intermittent turbulence, anisotropy, horizontal heterogeneity, and rapid time changes. The Boundary Layer Late Afternoon and Sunset Turbulence (BLLAST) project is gathering about thirty research scientists from the European Union and the United States to work on this issue. A field campaign (BLLAST-FE) is planned for spring or summer 2011 in Europe. BLLAST will utilize these observations, as well as previous datasets, large-eddy and direct numerical simulations, and mesoscale modelling to better understand the processes, suggest new parameterisations, and evaluate forecast models during this transitional period. We will present the issues raised by the late afternoon transition and our strategy to study it.Peer ReviewedPostprint (published version