Éditeur(s) : INRA : Institut National de la Recherche Agronomique Université des Antilles. Service commun de la documentation
Extrait de : 52e congrès annuel de la Société caribéenne des plantes alimentaires / 52nd annual meeting of the Caribbean food crops society (CFCS), du 10 au 16 juillet 2016. INRA, CFCS
Description : Plant genetic resources are instrumental in the adaptation of agriculture to social and environmental change. They are the backbone of research and breeding programs aimed at the development and transfer of new crop varieties best suited to consumers? needs and tastes and to new farming systems. To this aim, plant germplasm collections have been constituted worldwide. Securing such collections requires substantial human and financial investments that can prove difficult to maintain on the long run for small countries and territories such as most Caribbean countries. In Guadeloupe and Martinique, INRA and CIRAD have constituted large plant germplasm collections of tropical crops over several decades. They joined forces in 2010 to create the Tropical Plant Biological Resource Center of the French West Indies (CRB-PT), which is affiliated to both institutions. In this paper, we describe CRB-PT?s collections, services provided to end users and research programs as well as scientific and technical networking strategy. Les ressources génétiques d'usine sont instrumentales dans l'adaptation de l'agriculture au changement social et environnemental. Elles sont l'épine dorsale de la recherche et les programmes d'élevage ont visé le développement et le transfert de nouvelles variétés de culture adaptées aux besoins et aux goûts des consommateurs et à de nouveaux systèmes d'exploitation agricole. À ce but, des collections de matériel génétique d'usine ont été constituées dans le monde entier. La fixation de telles collections exige les investissements humains et substantiels qui peuvent être difficile à maintenir sur le long terme pour de petits pays et territoires tels que la plupart des pays des Caraïbes. En Guadeloupe et Martinique, l'AICN et les CIRAD ont constitué de grandes collections de matériel génétique d'usine de cultures tropicales au-delà de plusieurs décennies. Ils ont joint des forces en 2010 pour créer le centre de ressources biologique de plante tropicale des Antilles françaises (CRB-PT), qui sont affiliées aux deux établissements. En ce document, nous décrivons les collections de CRB-PT, services fournis aux utilisateurs et les programmes de recherche aussi bien que la stratégie scientifique et technique de mise en réseau.
Siècle(s) traité(s) : 21
Droits : CC-BY-NC-ND - Attribution - Pas d'utilisation commerciale - Pas de modification
Permalien : http://www.manioc.org/fichiers/V16258
V16258

Éditeur(s) : HAL CCSD
Résumé : International audience
Structure and evolution of networks have been areas of growing interest in recent years, especially with the emergence of Social Network Analysis (SNA) and its application in numerous fields. Researches on diffusion are focusing on network modeling for studying spreading phenomena. While the impact of network properties on spreading is now widely studied, involvement of network dynamicity is very little known. In this paper, we address the epidemiology context and study the consequences of network evolutions on spread of diseases. Experiments are conducted by comparing incidence curves obtained by evolution strategies applied on two generated and two real networks. Results are then analyzed by investigating network properties and discussed in order to explain how network evolution influences the spread. We present the MIDEN framework, an approach to measure impact of basic changes in network structure, and DynSpread, a 2D simulation tool designed to replay infections scenarios on evolving networks.
Database and Expert Systems Applications - 22nd International Conference, DEXA 2011, Toulouse, France, August 29 - September 2, 2011, Proceedings, Part II
Toulouse, France

hal-00614925
https://hal.archives-ouvertes.fr/hal-00614925
DOI : 10.1007/978-3-642-23091-2_49

Éditeur(s) : HAL CCSD
Résumé : The concept of network provides a model for representing a wide variety of objects and systems, both natural and social, in which a set of homogeneous or heterogeneous entities interact. It is now widely used to describe various kinds of relational structures. However, if everyone has an idea of the concept of network, we often ignore the implications that these structures have in real world phenomena. This is for example the case of processes such as the spread of a rumor, the disease transmission, or even the emergence of subjects of common interest for a group of individuals, in which the relations maintained between individuals, and their nature, often prove to be the main factors determining the evolution of the phenomenon. This is the reason why the study of networks has become one of the emerging areas in the 21st century called the "Science of networks." In this thesis, we address three issues of the domain of the science of networks: the problem of diffusion in social networks, where we have addressed more particularly the impact of the network dynamics on the diffusion process, the problem of the analysis of social networks, in which we have proposed a solution to take full advantage of all information available on the network by combining information on both structure and node attributes and the central problem of the social data collection, for which we have focused on the particular case of the data collection in a wild environment.
Le concept de réseau offre un modèle de représentation pour une grande variété d'objets et de systèmes, aussi bien naturels que sociaux, dans lesquels un ensemble d'entités homogènes ou hétérogènes interagissent entre elles. Il est aujourd'hui employé couramment pour désigner divers types de structures relationnelles. Pourtant, si chacun a une idée plus ou moins précise de ce qu'est un réseau, nous ignorons encore souvent les implications qu'ont ces structures dans de nombreux phénomènes du monde qui nous entoure. C'est par exemple le cas de processus tels que la diffusion d'une rumeur, la transmission d'une maladie, ou même l'émergence de sujets d'intérêt commun à un groupe d'individus, dans lesquels les relations que maintiennent les individus entre eux et leur nature s'avèrent souvent être les principaux facteurs déterminants l'évolution du phénomène. C'est ainsi que l'étude des réseaux est devenue l'un des domaines émergents du 21e siècle appelé la "Science des réseaux". Dans ce mémoire, nous abordons trois problèmes de la science des réseaux: le problème de la diffusion dans les réseaux sociaux, où nous nous sommes intéressés plus particulièrement à l'impact de la dynamique du réseau sur le processus de diffusion, le problème de l'analyse des réseaux sociaux, dans lequel nous avons proposé une solution pour tirer parti de l'ensemble des informations disponibles en combinant les informations sur la structure du réseau et les attributs des noeuds et le problème central de la collecte de données sociales, où nous nous sommes intéressés au cas particulier de la collecte de données en milieux sauvages.
https://tel.archives-ouvertes.fr/tel-00830882

Droits : info:eu-repo/semantics/OpenAccess
tel-00830882
https://tel.archives-ouvertes.fr/tel-00830882
https://tel.archives-ouvertes.fr/tel-00830882/document
https://tel.archives-ouvertes.fr/tel-00830882/file/These_STATTNER_2012.pdf

Éditeur(s) : HAL CCSD
Résumé : International audience
One of the most common tasks in the area of social network mining is the extraction of frequent patterns from social networks. Although traditional approaches have been mainly focused on subgraphs occurring frequently in a network or a set of networks, new approaches have attempted to exploit network structure and node properties in order to elicit new kinds of patterns. One of these news approaches is the extraction of conceptual links, a solution that combines both structure and node properties for providing knowledge on the groups of nodes the most connected in a social network. However, if the extraction of conceptual links offers a great potential in terms of knowledge discovery as well as network visualization, the search for these kinds of patterns remains a computationally intensive problem. Thus, the efficiency of the extraction processes highly depends on the efficiency of the underlying algorithm. In this paper, we focus on the extraction of maximal frequent conceptual links (MFCL) and we propose a hybrid algorithm that applies a filter on the nodes for reducing the search space to the most frequent groups of nodes. Although our solution potentially causes loss of some patterns, we demonstrate its efficiency by comparison with the MFCLMin algorithm. We investigate the potential loss of patterns, the gain on the runtime, and the gain on the number of comparisons.
IEEE International Conference on Research Challenges in Information Science
Paris, France

hal-00841699
https://hal.archives-ouvertes.fr/hal-00841699

Éditeur(s) : People's Progressive Party People's Progressive Party ( Georgetown, Guyana )
Résumé : Articles which originally appeared in the Sunday Mirror, Dec. 1974-Feb. 1975.
(Biographical) Biographical information from Wikipedia on 15 Aug. 2013, http://en.wikipedia.org/wiki/Cheddi_Jagan : Cheddi Berret Jagan (22 March 1918 – 6 March 1997) was a Guyanese politician who was first elected Chief Minister in 1953 and later Premier of British Guiana from 1961–64, prior to independence. He later served as President of Guyana from 1992–97. He is widely regarded in Guyana as the "Father of the Nation".
(Additional Physical Form) Cheddi Jagan archival collections and materials held at multiple institutions can be found through the Terms of Use | Privacy Statement | About | prototype historical resource Social Networks and Archival Context (SNAC) Project: http://socialarchive.iath.virginia.edu/xtf/view?docId=jagan-cheddi-cr.xml
Guyana

Droits : All rights reserved by the submitter.
024804111
3541361
http://ufdc.ufl.edu/AA00016537/00001

Éditeur(s) : HAL CCSD IGI Global
Résumé : International audience
Standard data mining techniques have been applied and adapted for eliciting knowledge from social networks, by achieving classical tasks such as classification, search for frequent patterns or link prediction. Most works have exploited only the network topological structure, and therefore cannot be used to answer questions involving nodes features. For instance, the frequent pattern discovery task generally refers to the search for sub-networks frequently found in a single network or in a set of networks. In the same area, this paper focuses on the concept of frequent link that stands as a regularity found in a network on links between node groups that share common characteristics. The extraction of such links from a social network is a particularly challenging and computationally intensive problem, since it is much dependent on the number of links and attributes. In this study, we propose a solution for reducing the search space of frequent links, by filtering the nodes features on a criterion of frequency. We make the assumption that frequent links occur between sets of features that are themselves frequent. This property is used to reduce the search space and speed up the extraction process. We empirically show that it is well founded. We discuss the efficiency of the solution in terms of computation time and number of frequent patterns found depending on several frequency thresholds.
ISSN: 1947-8186

hal-00786166
https://hal.archives-ouvertes.fr/hal-00786166

Éditeur(s) : HAL CCSD
Résumé : International audience
In the network modeling area, the most widely used definition of a "pattern" is that of a subgraph, a notion that considers only the network topological structure. While this definition has been very useful for extracting subgraphs frequently found in a network or a set of networks, it does not take into account the node attributes, an intrinsic component of social networks that often provides relevant information on the role or the position of a node in a network. In this paper, we propose a novel approach for extracting frequent patterns in social networks, called frequent link mining, based on the search for particular patterns that combine information on both network structure and node attributes. This kind of patterns, that we call frequent links, provides knowledge on the groups of nodes connected in the social network. In this article, we detail the method proposed for extracting frequent links and discuss its flexibility and its complexity. We demonstrate the efficiency of our solution by carrying out qualitative and quantitative studies.
Advances in Database (Weston, Conn.)s and Information Systems
Poznań, Poland

hal-00767050
https://hal.archives-ouvertes.fr/hal-00767050
DOI : 10.1007/978-3-642-33074-2_28

Éditeur(s) : EDP Sciences
Résumé : Lessons for the future from two development projects in aquaculture in the French overseas territories. Numerous research and development projects have been launched since the seventies in the French overseas territories. Their aim was to foster new activities in agriculture based on local productions for local markets, notably in the French West Indies (FWI). In this paper we analyze two development projects on the rearing of giant freshwater prawn, one in the FWI and the other in French Guyana, over twenty years after their launching. The purpose of these compared studies is twofold: first to try to understand why a set of relevant technical innovations ended in failure 15 years later; second to identify recommendations in terms of methodology in order to diminish risks of mistakes or failure for future projects. To reach this goal we followed two approaches. A first analysis is based on a set of three criteria: social acceptability, legitimacy and time planning. The second analysis, justified by the subjective need for an explanatory tool, is based on the actor-network theory. The results show that beyond the levels of political support and financial investment and support the three key criteria for success are: (i) reactivity of the decision-makers, notably when markets change, (ii) quality of leadership transfer between the launching phase and the stabilized phase, and (iii) capacity of the decision-makers to take into account the concrete consequences of the various scenarios. Regarding this third criterion, our analysis suggests that the scenario of full technical success needs to be explored, notably in terms of economic sustainability. The integration of these two types of analyses into an ex-ante frame should contribute to reducing risks of failure in similar development projects.
De nombreux projets d’aquaculture ont été menés depuis les années 1970 dans les territoires et départements français d’outre-mer. L’objectif était de diversifier l’agriculture avec des productions destinées au marché local comme aux Antilles, ou à l’exportation comme en Guyane. L’étude s’intéresse au bilan de deux projets d’élevage de la crevette tropicale d’eau douce aux Antilles et en Guyane, plus de vingt ans après leur lancement. L’objectif est de comprendre comment des innovations technologiques pertinentes ont conduit à deux échecs sur le moyen terme et de tirer des recommandations de méthode afin de réduire les risques d’erreurs ultérieures. Pour cela, deux cadres d’analyse sont mobilisés : le premier s’appuie sur les concepts de temporalité, légitimité et acceptabilité ; le second, motivé par la recherche subjective de cadres explicatifs, emprunte la vision de la théorie de l’acteur-réseau. Les trois déterminants majeurs du succès ou de l’échec se révèlent être la réactivité des responsables face aux problèmes d’adaptation à l’évolution des marchés, la qualité du transfert du leadership lors du passage de la phase de lancement à la phase de croisière et enfin la capacité de prendre en compte dès le départ les conséquences des scénarios d’évolution du projet, y compris la réussite technique. Une capacité d’intégration de ces types d’analyse, dans un cadre ex ante, devrait permettre de réduire les risques d’échec dans des projets de développement similaires à venir.
Natures Sciences et Sociétés (1240-1307) (EDP Sciences), 2013-12 , Vol. 21 , N. 4 , P. 400-415

Droits : NSS-Dialogues, EDP Sciences 2014
http://archimer.ifremer.fr/doc/00187/29784/28242.pdf
DOI:10.1051/nss/2014004
http://archimer.ifremer.fr/doc/00187/29784/

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
BackgroundFor a long time biologists and linguists have been noticing surprising similarities between the evolution of life forms and languages. Most of the proposed analogies have been rejected. Some, however, have persisted, and some even turned out to be fruitful, inspiring the transfer of methods and models between biology and linguistics up to today. Most proposed analogies were based on a comparison of the research objects rather than the processes that shaped their evolution. Focusing on process-based analogies, however, has the advantage of minimizing the risk of overstating similarities, while at the same time reflecting the common strategy to use processes to explain the evolution of complexity in both fields.ResultsWe compared important evolutionary processes in biology and linguistics and identified processes specific to only one of the two disciplines as well as processes which seem to be analogous, potentially reflecting core evolutionary processes. These new process-based analogies support novel methodological transfer, expanding the application range of biological methods to the field of historical linguistics. We illustrate this by showing (i) how methods dealing with incomplete lineage sorting offer an introgression-free framework to analyze highly mosaic word distributions across languages; (ii) how sequence similarity networks can be used to identify composite and borrowed words across different languages; (iii) how research on partial homology can inspire new methods and models in both fields; and (iv) how constructive neutral evolution provides an original framework for analyzing convergent evolution in languages resulting from common descent (Sapir’s drift).ConclusionsApart from new analogies between evolutionary processes, we also identified processes which are specific to either biology or linguistics. This shows that general evolution cannot be studied from within one discipline alone. In order to get a full picture of evolution, biologists and linguists need to complement their studies, trying to identify cross-disciplinary and discipline-specific evolutionary processes. The fact that we found many process-based analogies favoring transfer from biology to linguistics further shows that certain biological methods and models have a broader scope than previously recognized. This opens fruitful paths for collaboration between the two disciplines.
ISSN: 1745-6150

Droits : http://creativecommons.org/licenses/by/
hal-01378396
http://hal.upmc.fr/hal-01378396
http://hal.upmc.fr/hal-01378396/document
http://hal.upmc.fr/hal-01378396/file/unity.pdf
DOI : 10.1186/s13062-016-0145-2

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
These last years, many analysis methods have been proposed to extract knowledge from social networks. As for the traditional data mining domain, these network-based approaches can be classified according to two main families. The approaches based on predictive modelling, which encompass the techniques that analyse current and historical facts to make predictive assumptions about future or unknown events. The approaches based on descriptive modelling, which cover the set of techniques that aim to summarize the data by identifying some relevant features in order to describe how things organize and actually work. In this paper, we review the main descriptive modelling methods of social networks and show for each of them the resulting useful knowledge on a running example. We particularly emphasize on the most recent methods that combine information available on both the network structure and the node attributes in order to provide original description models taking into account the context.
EISSN: 1877-0509

hal-01312383
https://hal.univ-antilles.fr/hal-01312383
DOI : 10.1016/j.procs.2015.05.505

Éditeur(s) : HAL CCSD
Résumé : International audience
In the area of the link mining, frequent pattern discovery tasks generally consist in the search for subgraphs frequently found in a network or a set of networks. Very recently, new axes of this problem has been proposed through the search for frequent links. Unlike traditional approaches that focus solely on structural regularities, frequent link mining methods exploit both the network structure and the attributes of nodes for extracting regularities in the links existing between node groups that share common characteristics. However, extracting frequent links is still a particularly challenging and computationally intensive issue since it is much dependent on the number of links. In this study, we propose a solution that is able to reduce the computing time by reducing the search to only a subset of of nodes. Experiments were conducted to understand the effects of different thresholds of the subset size on the loss of patterns and the gain in terms of computation time. Our solution proves to be efficient for a rather wide range of thresholds.
Research Challenges in Information Science
Vallence, Spain

hal-00767039
https://hal.archives-ouvertes.fr/hal-00767039
DOI : 10.1109/RCIS.2012.6240432

Éditeur(s) : HAL CCSD IGI Global
Résumé : International audience
The social behavior of individuals is an important factor of the transmission and the evolution of many diseases. As such, epidemic studies have attempted to integrate social aspects in dissemination modeling. Since the pioneering works of Klovdahl on AIDS in 1985, epidemiological investigations and interventions increasingly focus on social networks. Significant factors of the transmission and outbreak of many infectious diseases are the structure and nature of human interactions. Network-based modeling approaches have found various applications in epidemiology as a simple yet efficient way to represent the complexity of human relationships implicated in dissemination processes. However, most results have been obtained by considering social networks as steady stage structures. Evolving networks have not been explored. The objective is first to give an overview of network-based modeling attempts in epidemiology to analyze and understand the dissemination processes with an emphasis on dynamic networks. The authors approach is designed to understand the impact of social links dynamics on epidemic spread. The authors present the results obtained by combining network evolution patterns (link creation and deletion) and a typical epidemic model. The speed of link dynamics and the infection time strongly influence the occurrence and value of the epidemic peak.
ISSN: 1947-8186

hal-00700105
https://hal.archives-ouvertes.fr/hal-00700105
DOI : 10.4018/jismd.2012070103

Éditeur(s) : HAL CCSD
Résumé : International audience
While the impact of network properties on information spread- ing is now widely studied, in uence of network dynamics is very little known. In this paper, we study how evolution mechanisms tradition- ally observed within social networks can a ect information di usion. We present an approach that merges two models: model of informa- tion di usion through social networks and model of network evolution. Since epidemics provide a reference in application domains of information spreading, we measure the impact of basic network structure changes on epidemic peak value and timing. Then we investigate observed trends in terms of changes appearing in the network structure. Our results provide promising results on how and why network dynamics is a strong param- eter to integrate in requirements for information spreading modelling.
World Summit on the Knowledge Society
Mykonos, Greece

hal-00768405
https://hal.archives-ouvertes.fr/hal-00768405

Éditeur(s) : Université des Antilles Études caribéennes
Résumé : Le débat théorique sur les migrations et la famille connait une ambivalence allant du postulat de la migration comme une logique « individualiste » et de distanciation de la famille à celui de la migration vue comme une stratégie de survie portée par le réseau familial. C’est dans le but de contribuer à ce débat que le présent texte aborde l’analyse du processus migratoire sous l’angle des stratégies déployées par les migrants « Hloua » de la côte béninoise. Quatre dimensions ont particulièrement retenu notre attention : la prise de décision, le financement et l’organisation du voyage, l'intégration dans le milieu d’accueil, et les rapports maintenus avec le milieu d'origine.L’analyse s’appuie sur les récits de migration collectés auprès de migrants de retour ou de membres de familles restés au village, ceci dans le cadre d’une enquête plus large sur la pauvreté et les stratégies de survie dans le milieu de la pêche artisanale (Avloh, Ayiguinnou et Agoué) au Bénin. Cette analyse de récit a été complétée par des analyses de type quantitatif sur la fréquence des recours pour l’organisation et la prise de décision, la fréquence de recours pour l’insertion résidentielle et professionnelle, et le montant des envois de fonds. Les résultats montrent la place centrale du réseau familial le long du processus migratoire depuis la prise de décision, l’organisation du voyage, le « confiage » de la femme et des enfants du migrant, à l’établissement résidentiel et l’insertion professionnelle dans le milieu d’accueil. Ce réseau organise et structure efficacement le phénomène migratoire en intervenant lors des étapes décisives. Cependant, une fois insérés, les rapports maintenus avec le réseau familial se limitent pour la plupart à une solidarité affective, caractérisée par des contacts téléphoniques ou transferts de message et quelques envois de fonds largement en deçà des attentes. Ce qui fait dire de plus en plus que le migrant diminue le capital social de la famille sans pour autant y contribuer de façon substantielle sur le plan financier : Un paradoxe qui pourrait bien trouver son explication dans les recherches futures sous une perspective dynamique des migrations.
The theoretical debate on migration and family is ambivalent. Migration can be seen from an “individualist’’ and distant logic of the family or, on the other hand, migration can be viewed as a strategy of survival for the family network. It is in the objective of contributing to this debate, the present article will analyze the migration process from a migrant strategy perspective, more specifically from the perspective of the “Hloua” migrants off the Benin coast. Four dimensions are of particular interest: the decision making process, the cost and organization of the trip, integration in the host community and the maintenance of relations with the host community. Within a large scale research on poverty and the strategies of survival of artisan fishing (Avloh, Ayiguinnou et Agoué) in Bénin, the present analysis is based on migration stories collected from returning migrants or from family members still living in the village. This story analysis has been completed with quantitative analyses on the frequency of the use of organization and decision making, the frequency of the use of residential and professional insertion, and the amount of remittances. The results show the central place of family ties during the migratory process from the start of the decision making process, the travel planning, the entrusting of the women and children of the migrant, to the residential establishment and the professional insertion in the host society. This network organizes and structures efficiently the migratory phenomenon by intervening during the decisive steps. However, once inserted, the connections maintained with the family network are limited for the majority to an affective solidarity characterized by telephone contacts or message transfers, and sometimes remittances sent back largely lower to the family’s expectations. This results more and more in the migrant diminishing the social capital of the family without always contributing in some substantially way on the financial side. A paradox which could find its explanation in future researches under a perspective of migrations’ dynamics.
Bénin

Droits : info:eu-repo/semantics/openAccess
urn:doi:10.4000/etudescaribeennes.5785
http://journals.openedition.org/etudescaribeennes/5785

Éditeur(s) : HAL CCSD Wiley
Résumé : International audience
While the effects of deforestation and habitat fragmentation on parasite prevalence or richness are well investigated, host-parasite networks are still understudied despite their importance in understanding the mechanisms of these major disturbances. Because fragmentation may negatively impact species occupancy, abundance and co-occurrence, we predict a link between spatiotemporal changes in habitat and the architecture of host-parasite networks. For this, we used an extensive data set on 16 rodent species and 29 helminth species from seven localities of South-East Asia. We analysed the effects of rapid deforestation on connectance and modularity of helminth-parasite networks. We estimated both the degree of fragmentation and the rate of deforestation through the development of land uses and their changes through the last 20 to 30years in order to take into account the dynamics of habitat fragmentation in our statistical analyses. We found that rapid fragmentation does not affect helminth species richness per se but impacts host-parasite interactions as the rodent-helminth network becomes less connected and more modular. Our results suggest that parasite sharing among host species may become more difficult to maintain with the increase of habitat disturbance.
ISSN: 0021-8790

hal-01355307
https://hal.archives-ouvertes.fr/hal-01355307
DOI : 10.1111/1365-2656.12368
IRD : fdi:010064927

Éditeur(s) : HAL CCSD
Résumé : International audience
The paper proposes a new knowledge discovery method called MAX-FLMin for extracting frequent patterns in social networks. Unlike traditional approaches that mainly focus on the network topological structure, the originality of our solution is its ability to exploit information both on the network structure and the attributes of nodes in order to elicit specific regularities that we call "Frequent Links". This kind of patterns provides relevant knowledge about the groups of nodes most connected within the network. First, we detail the method proposed to extract maximal frequent links from social networks. Second, we show how the extracted patterns are used to generate aggregated networks that represent the initial social network with more semantics. Qualitative and quantitative studies are conducted to evaluate the performances of our algorithm in various configurations.
Database (Weston, Conn.) and Expert Systems Applications
Vienna, Austria

hal-00767052
https://hal.archives-ouvertes.fr/hal-00767052
DOI : 10.1007/978-3-642-32600-4_35

Éditeur(s) : HAL CCSD Taylor & Francis (Routledge)
Résumé : International audience
The French Antilles (Martinique, Saint Martin and Guadeloupe) and French Guiana are the French territories most affected by the HIV epidemic. Some population groups such as men who have sex with men (MSM), especially those involved in transactional sex, are thought to be particularly vulnerable to HIV but few data exist to help characterize their health-related needs and thus implement relevant prevention interventions. To fill this knowledge gap, we used data collected from an HIV/AIDS Knowledge, Attitudes, Behaviours and Practices survey conducted in 2012 among MSM living in the French Antilles and French Guiana and recruited through snowball sampling. Our objectives were to compare social and demographic characteristics and sexual behaviours between MSM engaging in transactional sex and MSM not engaging in transactional sex and to identify factors associated with transactional sex involvement using a logistic regression model. A total of 733 MSM were interviewed, 21% of whom reported to undergo transactional sex. Their behaviour and social and demographic characteristics were different from other MSMs’ and they were more exposed to factors that are recognized to potentiate HIVvulnerability, at the individual, community, network and structural levels. The variables positively associated with sex trade involvement were having ever consumed drug (OR = 2.84 [1.23–6.52]; p = .002), having a greater number of sex partners than the median (OR = 8.31 [4.84–14.30]; p < .001), having experienced intimate partner violence (OR = 1.72 [0.99–3.00]; p = .053) and having undergone physical aggression because of sexual orientation (OR = 2.84 [1.23–6.52];p = .014). Variables negatively associated with sex trade involvement were being older (OR = 0.93 [0.90–0.97] per year; p = .001), having a stable administrative situation (OR = 0.10 [0.06–0.19]; p < .001), having a stable housing (OR = 0.29 [0.15–0.55]; p < .001) and being employed full-time (OR = 0.29 [1.23–6.52]; p = .002).
ISSN: 0954-0121

inserm-01407263
http://www.hal.inserm.fr/inserm-01407263
http://www.hal.inserm.fr/inserm-01407263/document
http://www.hal.inserm.fr/inserm-01407263/file/AIDS%20Care%20final%20version.pdf
DOI : 10.1080/09540121.2016.1234680

Éditeur(s) : HAL CCSD
Résumé : International audience
Human spatial motions determine geographic social contacts that influence the way an information is spread on a population or a community. As mobility is a transverse dimension to social practices it is important to better understand its role. With the Eternal-Return model we propose, we simulate an artificial world populated by heterogeneous agents who differ in their mobility. We have chosen a multi-agent framework perspective for this simulation. We endow the agents with simple rules on how to move around the space and how to establish proximity-contacts. This allows to distinguish different kinds of mobile agents, from sedentary ones to travelers. To summarize the dynamics induced by mobility over time, we define the mobility-based Social Proximity Network as being the network of all distinct contacts between agents. Its properties give insight in the process of information spreading. We conduct simulations to understand how an information can be broadcast when agent-nodes are in motion.
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Niagara falls, Canada

hal-00874344
https://hal.archives-ouvertes.fr/hal-00874344

Éditeur(s) : HAL CCSD Royal Society, The
Résumé : International audience
Individuals can play different roles in maintaining connectivity and socialcohesion in animal populations and thereby influence population robustnessto perturbations.We performed a social network analysis in a reef shark populationto assess the vulnerability of the global network to node removal underdifferent scenarios. We found that the network was generally robust to theremoval of nodes with high centrality. The network appeared also highlyrobust to experimental fishing. Individual shark catchability decreased as afunction of experience, as revealed by comparing capture frequency and sitepresence. Altogether, these features suggest that individuals learnt to avoidcapture, which ultimately increased network robustness to experimentalcatch-and-release. Our results also suggest that some caution must be takenwhen using capture–recapture models often used to assess population sizeas assumptions (such as equal probabilities of capture and recapture) maybe violated by individual learning to escape recapture.
EISSN: 1471-2954

hal-01561754
https://hal-univ-perp.archives-ouvertes.fr/hal-01561754
DOI : 10.1098/rsbl.2016.0824

Éditeur(s) : HAL CCSD
Résumé : International audience
The extraction of knowledge from social networks is an area that has experienced significant growth in recent years. Indeed, thanks to the improvement of storage and calculation capacities, and the heterogeneity of data that can currently be extracted, much effort has been made to go beyond traditional knowledge, by proposing new kinds of patterns that take into account the context. However, while many works were interested in designing new patterns of knowledge or in optimizing existing approaches, few studies have been focused in merging patterns and on the useful knowledge emerging from such fusions. In this work, we focus on two network clustering approaches, able to extract two distinct kinds of patterns, and we seek to understand both the intersections that can exist between them and the knowledge that emerges from their fusion. The first is the classical nodes clustering approach that consists in searching for communities into a network. The second is the search for frequent conceptual links, a new link clustering approach that aims identifying frequent links between groups of nodes sharing common attributes. We propose a set of original measures that aim to evaluate the amount of shared information between these patterns when they are extracted from a same network. These measures are applied to three datasets and demonstrate the interest in simultaneously considering several sources of knowledge.
Advances in Knowledge Discovery and Management (AKDM)

hal-01514227
https://hal.archives-ouvertes.fr/hal-01514227
DOI : 10.1007/978-3-319-45763-5_13