Information sharing and social network dynamics : a coevolutionary approach

The capacity to interact socially and share information underlies the success of many animal species, humans included. Researchers of many fields have emphasized the evo¬lutionary significance of how patterns of connections between individuals, or the social networks, and learning abilities affect the information obtained by animal societies. To date, studies have focused on the dynamics either of social networks, or of the spread of information. The present work aims to study them together. We make use of mathematical and computational models to study the dynamics of networks, where social learning and information sharing affect the structure of the population the individuals belong to. The number and strength of the relationships between individuals, in turn, impact the accessibility and the diffusion of the shared information. Moreover, we inves¬tigate how different strategies in the evaluation and choice of interacting partners impact the processes of knowledge acquisition and social structure rearrangement. First, we look at how different evaluations of social interactions affect the availability of the information and the network topology. We compare a first case, where individuals evaluate social exchanges by the amount of information that can be shared by the partner, with a second case, where they evaluate interactions by considering their partners' social status. We show that, even if both strategies take into account the knowledge endowments of the partners, they have very different effects on the system. In particular, we find that the first case generally enables individuals to accumulate higher amounts of information, thanks to the more efficient patterns of social connections they are able to build. Then, we study the effects that homophily, or the tendency to interact with similar partners, has on knowledge accumulation and social structure. We compare the case where individuals who know the same information are more likely to learn socially from each other, to the opposite case, where individuals who know different information are instead more likely to learn socially from each other. We find that it is not trivial to claim which strategy is better than the other. Depending on the possibility of forgetting information, the way new social partners can be chosen, and the population size, we delineate the conditions for which each strategy allows accumulating more information, or in a faster way For these conditions, we also discuss the topological characteristics of the resulting social structure, relating them to the information dynamics outcome. In conclusion, this work paves the road for modeling the joint dynamics of the spread of information among individuals and their social interactions. It also provides a formal framework to study jointly the effects of different strategies in the choice of partners on social structure, and how they favor the accumulation of knowledge in the population. - La capacité d'interagir socialement et de partager des informations est à la base de la réussite de nombreuses espèces animales, y compris les humains. Les chercheurs de nombreux domaines ont souligné l'importance évolutive de la façon dont les modes de connexions entre individus, ou réseaux sociaux et les capacités d'apprentissage affectent les informations obtenues par les sociétés animales. À ce jour, les études se sont concentrées sur la dynamique soit des réseaux sociaux, soit de la diffusion de l'information. Le présent travail a pour but de les étudier ensemble. Nous utilisons des modèles mathématiques et informatiques pour étudier la dynamique des réseaux, où l'apprentissage social et le partage d'information affectent la structure de la population à laquelle les individus appartiennent. Le nombre et la solidité des relations entre les individus ont à leurs tours un impact sur l'accessibilité et la diffusion de l'informa¬tion partagée. Par ailleurs, nous étudions comment les différentes stratégies d'évaluation et de choix des partenaires d'interaction ont une incidence sur les processus d'acquisition des connaissances ainsi que le réarrangement de la structure sociale. Tout d'abord, nous examinons comment des évaluations différentes des interactions sociales influent sur la disponibilité de l'information ainsi que sur la topologie du réseau. Nous comparons un premier cas, où les individus évaluent les échanges sociaux par la quantité d'information qui peut être partagée par le partenaire, avec un second cas, où ils évaluent les interactions en tenant compte du statut social de leurs partenaires. Nous montrons que, même si les deux stratégies prennent en compte le montant de connaissances des partenaires, elles ont des effets très différents sur le système. En particulier, nous constatons que le premier cas permet généralement aux individus d'accumuler de plus grandes quantités d'information, grâce à des modèles de connexions sociales plus efficaces qu'ils sont capables de construire. Ensuite, nous étudions les effets que l'homophilie, ou la tendance à interagir avec des partenaires similaires, a sur l'accumulation des connaissances et la structure sociale. Nous comparons le cas où des personnes qui connaissent les mêmes informations sont plus sus¬ceptibles d'apprendre socialement l'une de l'autre, au cas où les individus qui connaissent des informations différentes sont au contraire plus susceptibles d'apprendre socialement l'un de l'autre. Nous constatons qu'il n'est pas trivial de déterminer quelle stratégie est meilleure que l'autre. En fonction de la possibilité d'oublier l'information, la façon dont les nouveaux partenaires sociaux peuvent être choisis, et la taille de la population, nous déterminons les conditions pour lesquelles chaque stratégie permet d'accumuler plus d'in¬formations, ou d'une manière plus rapide. Pour ces conditions, nous discutons également les caractéristiques topologiques de la structure sociale qui en résulte, les reliant au résultat de la dynamique de l'information. En conclusion, ce travail ouvre la route pour la modélisation de la dynamique conjointe de la diffusion de l'information entre les individus et leurs interactions sociales. Il fournit également un cadre formel pour étudier conjointement les effets de différentes stratégies de choix des partenaires sur la structure sociale et comment elles favorisent l'accumulation de connaissances dans la population.

CleanEx: a database of heterogeneous gene expression data based on a consistent gene nomenclature.

The main goal of CleanEx is to provide access to public gene expression data via unique gene names. A second objective is to represent heterogeneous expression data produced by different technologies in a way that facilitates joint analysis and cross-data set comparisons. A consistent and up-to-date gene nomenclature is achieved by associating each single experiment with a permanent target identifier consisting of a physical description of the targeted RNA population or the hybridization reagent used. These targets are then mapped at regular intervals to the growing and evolving catalogues of human genes and genes from model organisms. The completely automatic mapping procedure relies partly on external genome information resources such as UniGene and RefSeq. The central part of CleanEx is a weekly built gene index containing cross-references to all public expression data already incorporated into the system. In addition, the expression target database of CleanEx provides gene mapping and quality control information for various types of experimental resource, such as cDNA clones or Affymetrix probe sets. The web-based query interfaces offer access to individual entries via text string searches or quantitative expression criteria. CleanEx is accessible at: http://www.cleanex.isb-sib.ch/.

IPIB Monthly Column, February 2015

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

IPIB Monthly Column, November 2014

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

IPIB Monthly Column, August 2014

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

IPIB Monthly Column, December 2014

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

IPIB Monthly Column, July 2014

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

IPIB Monthly Column, June 2014

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

IPIB Monthly Column, May 2014

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

IPIB Monthly Column, October 2014

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

IPIB Monthly Column, September 2014

This is a monthly column prepared by the Iowa Public Information Board to update Iowans on the IPIB’s activities and provide information on some of the issues routinely addressed by the board.

Análisis del ECPN y del EFE en el sector público

El nuevo Plan General de Contabilidad Pública (Orden EHA/ 1037/2010) de 13 de abril dispone la elaboración de dos nuevos documentos contables: el Estado de cambios en el patrimonio neto y el Estado de flujos de efectivo. En este trabajo se detallan la estructura, función y utilidad de esos documentos en el ámbito del sector público para conseguir una información consistente y comparable entre las diferentes entidades en sintonía con la normativa internacional. Este estudio finaliza con una interpretación de los dos documentos analizados.

Highway/Railroad Grade Crossings Identification and Signing, HR-254, 1987

In 1982, Iowa's crossing warning identification system and signage at rail crossings were outdated, inconsistent and inadequate. Iowa's railroad system had been reduced and reorganized during the 1970's and many of the surviving railroad companies were unable to install new signs or devote staff to updating information. The preliminary engineering part of this project improved the information inventory about each crossing, provided for installation of identification tags and resulted in a comprehensive list of posts and signs eligible for replacement. The sign installation portion of this project resulted in erection of nearly 10,000 new crossbuck signs and 10,000 advance warning signs with high intensity reflectorization. In addition, new posts and multiple track signs were replaced where appropriate. Increased visibility of crossings for the motoring public has resulted from proper sign placement and use of high intensity reflectorization. The tagging has provided a consistent correct identification of crossings for accident reporting. The computer inventory of information about the crossings is now correct and provides for informed decision making to administrators of Federal and State crossing safety funds.

Review of State Comprehensive Computerized Highway Information System, HR-1053, 1987

This report presents an overview of where the computerized highway information system is now, and its status as a planning and programming tool for state highway agencies. A computerized highway information system is simply a computer linked system which can be used by many divisions of a transportation agency to obtain information to meet data reporting, analyses or other informational needs. The description of the highway information system includes: current use and status, applications, organization and system development, benefits and problems.