Main Social Networks Research Articles

КРОСМЕДІЙНІСТЬ АУДИТОРІЇ ІНФОРМАЦІЙНОЇ АГЕНЦІЇ «112.UA»

The relevance of research is caused by the fact that cross-medіa has become an integral feature of informational space functioning. The main feature of cross-media is based on functioning on several media platforms. Specifically, the informational agency “112.ua” has eight of such media platforms: the web portal “112.ua”, the TV channel “112 Ukraine”, the mobile application “News 112”, the interactive application “Witness 112”, the youtube channel and the profiles in three main social networks. The multi-media audience adopts the cross-media characteristics. This happens also with the assistance of top management “112.ua”: they use the special techniques to encourage the users to take information from different platforms. The main objective of the study is to identify the factors that encourage the audience to use the multiple platforms of cross-media “112.ua”. The audience ratings were revised and using the calculation method it was determined that the TV channel “112 Ukraine” was the main platform with the biggest audience. The survey methodology helped to identify the most significant factors of attracting the cross-media audience: advertisement, announcement, availability, convenience, access to the archive. Using the method of classification, the factors were combined into several groups. The theoretical part and trends of cross-media were processed by using comparative-historical method and analysis of scientific literature. As a phenomenon cross-media is closely related to such terms as multiplatform, trans-media, convergence. The scientific works of Ukrainian and world researchers distinguish often a somewhat philosophical aspect of crossmedia from a purely technical phenomenon of multiplatform and transmedia. The main feature of cross-media communication is coverage of various media platforms. Another important element is users’ interactivity. The audience of multiplatform editionss has certainly the feature of crossmedia. Cross-media management encourages it to use several multiple platforms through such key factors as advertising, promotion, accessibility, convenience, ability to go back to missed or somewhat outdated topics. And the consumers come quite easily under this influence, because the world is changing and multiplatform becomes an integral part of functioning of information environment. This was proved by the example of the audience of the information agency “112.ua”. Only 10% of respondents do not show their mobility and ability to use several platforms of one cross-media edition.The results and conclusions of the study may be of interest for top management of multi-platform media and for those ones, who explore cross-media audience.

COMERCIO Y MARKETING DIGITAL COMO MEDIO DE PROMOCIÓN Y PUBLICIDAD EN LAS EMPRESAS DE LA CIUDAD DE GUAMÚCHIL, SALVADOR ALVARADO, SINALOA, MÉXICO

The research shows the use of digital marketing as a means of promotion and advertising used in companies in the City of Guamuchil, Salvador Alvarado, Sinaloa . The research in its first stage was exploratory, a tour of 880 companies was made to identify those who had this modern dissemination tool, only 82 were identified, for the second stage, the instrument was applied to the latter, using the method descriptive with a quantitative approach, the research techniques: the primary, consisted in convenience sampling; secondary schools were books and electronic journals. Based on the findings of companies that use digital marketing, the main social networks they use are Facebook with 86.6%, Instagram 14.6%, Web page 24.4%; according to the purpose of use, 51.2% for advertising of products and services, 31.7% to develop transactions with suppliers, only 12.2% communication with customers and for promotions 9.8%. However, having been located as a company that designs and implements a digital marketing plan, 67.1% of companies do not elaborate it. For 87.7% of entrepreneurs who use digital marketing have achieved their expectations of marketing their products and services, also, 85.4% consider this economic resource. 85.3% acknowledge that the Internet and social networks have attracted more customers and 90.2% achieved their expectations with the use of it. It is necessary that companies seek a successful digital presence in social networks, incorporate the activities and quality content of the company itself, which are of interest to the actual and potential customers themselves, this to maintain a direct and active communication with loyal customers and prospects. Keywords: Commerce, Digital Marketing, Social Network, Promotion, Advertising and Companies.

LA RELEVANCIA DE LOS PROGRAMAS EDUCATIVOS Y FORMATIVOS COMO ELEMENTOS FAVORECEDORES DEL PROCESO DE REINSERCIÓN SOCIAL Y LABORAL DE LOS MENORES INFRACTORES

Abstract.THE RELEVANCE OF EDUCATIONAL AND TRAINING PROGRAMS AS ELEMENTS THAT FAVOR THE PROCESS OF SOCIAL AND LABOR REINTEGRATION OF JUVENILE OFFENDERS.In a clear attempt to organize, manage and facilitate the process of social and labor reintegration of juvenile offenders, the societies of the moment tend to use a wide range of programs and strategies with which they try to prevent the emergence of Criminal and illicit behaviors or, in the event that they are developed, intervene to redirect them to other types of social and labor behavior that end up being widely accepted and valued by the main social and labor networks. Among these programs and strategies of prevention and intervention that have been developed and implemented, in recent years the scientific community begins to accept and recognize the enormous benefits derived from working with these smaller programs of an educational and formative nature, the most significant being the acquisition (Empathy, solidarity, tolerance, cooperation, sacrifice, self-esteem, self-control, etc.) that end up facilitating their full and effective integration into social, community and labor structures. In order to carry out good research in this field, therefore, it is essential to determine all those variables and factors that are present in this type of educational and training programs. Therefore, the present study analyzes the main works developed on the subject of study, with the intention of analyzing and describing the different factors and variables that are present in the educational and training programs, as well as the most outstanding benefits and Parabienes that can report to juvenile offenders who end up becoming habitual users of them. In this way, it is possible to delimit the point from which the successive empirical investigations and programs that try to manage the process of social reintegration and labor of the juvenile offenders will have to start.Key words: Minor offenders, educational and training programs, social and labor reinsertion, socio-community and labor environment, education, revision.Resumen.Las sociedades del momento suelen recurrir, en un claro intento de organizar, gestionar y facilitar el desarrollo del proceso de reinserción social y laboral de los menores infractores, al empleo de un amplio elenco de programas y estrategias con las que intentan prevenir la aparición de las conductas delictivas e ilícitas o, en el caso de que éstas se acaben desarrollando, intervenir para reconducirlas hacia otro tipo de conductas sociales y laborales que acaben siendo ampliamente aceptadas y valoradas por los principales entramados sociales y laborales. Entre estos programas y estrategias de prevención e intervención que se vienen desarrollando e implementando, en los últimos años la comunidad científica comienza a aceptar y a reconocer los enormes beneficios derivados de trabajar con estos menores programas de naturaleza educativa y formativa, siendo los más significativos la adquisición de un amplio abanico de valores y actitudes personales, sociales y laborales (empatía, solidaridad, tolerancia, cooperación, sacrificio, autoestima, autocontrol, etc.) que acaban facilitando su plena y efectiva integración en las estructuras sociales, comunitarias y laborales. Para realizar buenas investigaciones dentro de este ámbito, por tanto, resulta imprescindible determinar todas aquellas variables y factores que se encuentran presentes en este tipo de programas educativos y formativos. Por lo tanto, en el presente estudio se analizan los principales trabajos desarrollados sobre la temática objeto de estudio, con la intención de analizar y describir los distintos factores y variables que están presentes en los programas educativos y formativos, así como los más destacados beneficios y parabienes que pueden reportar a los menores infractores que se acaben convirtiendo en usuarios habituales de los mismos. De esta manera, es posible delimitar el punto desde el que habrán de partir las sucesivas investigaciones empíricas y programas que traten de gestionar el proceso de reinserción social y laboral de los menores infractores.Palabras clave: Menores infractores, programas educativos y formativos, reinserción social y laboral, entorno socio-comunitario y laboral, educación, revisión.

Link prediction in stochastic social networks: Learning automata approach

Link prediction is a main social network challenge that uses the network structure to predict future links. The common link prediction approaches to predict hidden links use a static graph representation where a snapshot of the network is analyzed to find hidden or future links. For example, similarity metric based link predictions are a common traditional approach that calculates the similarity metric for each non-connected link and sort the links based on their similarity metrics and label the links with higher similarity scores as the future links. Because people activities in social networks are dynamic and uncertainty, and the structure of the networks change over time, using deterministic graphs for modeling and analysis of the social network may not be appropriate. This paper proposes a new link prediction method based on learning automata for stochastic social networks. In a stochastic social network, the weights associated with the links are random variables. To do this, we first redefine some of the similarity metrics for link prediction in stochastic graphs and then propose a method based on learning automata to calculate the distribution of the proposed similarity metrics assuming that the probability distributions of the link weights are unknown. Also, the proposed method has capability to use in online stochastic social networks where the social network changes online and the future links must be predicted. To evaluate the proposed method we use different synthetic stochastic social networks and present that the stochastic link prediction achieves better results in comparison to the classical link prediction algorithms in the stochastic social networks.

Evaluating the Social Media Performance of Hospitals in Spain: A Longitudinal and Comparative Study.

BackgroundSocial media is changing the way in which citizens and health professionals communicate. Previous studies have assessed the use of Health 2.0 by hospitals, showing clear evidence of growth in recent years. In order to understand if this happens in Spain, it is necessary to assess the performance of health care institutions on the Internet social media using quantitative indicators.ObjectivesThe study aimed to analyze how hospitals in Spain perform on the Internet and social media networks by determining quantitative indicators in 3 different dimensions: presence, use, and impact and assess these indicators on the 3 most commonly used social media - Facebook, Twitter, YouTube. Further, we aimed to find out if there was a difference between private and public hospitals in their use of the aforementioned social networks.MethodsThe evolution of presence, use, and impact metrics is studied over the period 2011- 2015. The population studied accounts for all the hospitals listed in the National Hospitals Catalog (NHC). The percentage of hospitals having Facebook, Twitter, and YouTube profiles has been used to show the presence and evolution of hospitals on social media during this time. Usage was assessed by analyzing the content published on each social network. Impact evaluation was measured by analyzing the trend of subscribers for each social network. Statistical analysis was performed using a lognormal transformation and also using a nonparametric distribution, with the aim of comparing t student and Wilcoxon independence tests for the observed variables.ResultsFrom the 787 hospitals identified, 69.9% (550/787) had an institutional webpage and 34.2% (269/787) had at least one profile in one of the social networks (Facebook, Twitter, and YouTube) in December 2015. Hospitals’ Internet presence has increased by more than 450.0% (787/172) and social media presence has increased ten times since 2011. Twitter is the preferred social network for public hospitals, whereas private hospitals showed better performance on Facebook and YouTube. The two-sided Wilcoxon test and t student test at a CI of 95% show that the use of Twitter distribution is higher (P<.001) for private and public hospitals in Spain, whereas other variables show a nonsignificant different distribution.ConclusionsThe Internet presence of Spanish hospitals is high; however, their presence on the 3 main social networks is still not as high compared to that of hospitals in the United States and Western Europe. Public hospitals are found to be more active on Twitter, whereas private hospitals show better performance on Facebook and YouTube. This study suggests that hospitals, both public and private, should devote more effort to and be more aware of social media, with a clear strategy as to how they can foment new relationships with patients and citizens.

A novel time series link prediction method: Learning automata approach

Link prediction is a main social network challenge that uses the network structure to predict future links. The common link prediction approaches to predict hidden links use a static graph representation where a snapshot of the network is analyzed to find hidden or future links. For example, similarity metric based link predictions are a common traditional approach that calculates the similarity metric for each non-connected link and sort the links based on their similarity metrics and label the links with higher similarity scores as the future links. Because people activities in social networks are dynamic and uncertainty, and the structure of the networks changes over time, using deterministic graphs for modeling and analysis of the social network may not be appropriate. In the time-series link prediction problem, the time series link occurrences are used to predict the future links In this paper, we propose a new time series link prediction based on learning automata. In the proposed algorithm for each link that must be predicted there is one learning automaton and each learning automaton tries to predict the existence or non-existence of the corresponding link. To predict the link occurrence in time T, there is a chain consists of stages 1 through T−1 and the learning automaton passes from these stages to learn the existence or non-existence of the corresponding link. Our preliminary link prediction experiments with co-authorship and email networks have provided satisfactory results when time series link occurrences are considered.

A rede social Facebook e o desenvolvimento de recursos humanos – suporte à interação e colaboração na aprendizagem

Web 2.0-based technologies and tools enable organizations to foster collaboration and sharing of knowledge and learning among themselves. This is due to the way management, and more specifically Human Resources Management, have been able to use Web 2.0 in their favor. Featuring tools that provide opportunities for collaboration, learning, sharing and communication, Web 2.0, through social networks, has become a democratic architecture for participation, encouraging the sharing of ideas, promoting discussion and fostering a sense community. Also increasingly, social networks are present in learning environments. This allows the exploration of new forms of teaching and learning. Facebook, as an alternative to traditional platforms, focuses on the collaborative spirit, combining the user's individual profile and the group's interactive tools. With this project, we intend to analyze how Facebook can be used as a support to face-to-face higher education, allowing the creation of interaction and collaboration environments that promote learning. To do so, we will use the DesignBased Research methodology, in order to empirically test and refine to gain new insights and develop related theories. This methodology will be applied in three classes of the degree of Human Resources of the Polytechnic Institute of Oporto, through the use of a Facebook group that will be used as a support for face-to-face classes. This methodology will be based on the triangulation of data (conjugation and confrontation) collected through questionnaires, analysis of electronic records and semi-structured group interviews. With this study, we intend to understand the reflexes of the pedagogical use of social networks, perceiving more concretely the role of Facebook (the main social network used in Portugal, promoting group learning, interaction, sharing and collaboration.

An Investigation of a New Social Networks Contact Suggestion Based on Face Recognition Algorithm

Automated comparison of faces in the photographs is a well established discipline. The main aim of this paper is to describe an approach whereby face recognition can be used in suggestion of a new contacts. The new contact suggestion is a common technique used across all main social networks. Our approach uses a freely available face comparison called together with our automated processig of the user´s Facebook profile. The research´s main point of interest is the comparison of friend´s facial images in a social network itself, how to process such a great amount of photos and what additional sources of data should be used. In this approach we used our automated processing algorithm Betaface in the social network Facebook and for the additional data, the Flickr social network was used. The results and their quality are discussed at the end.

Historia del reporterismo español. Estudio de caso de Miguel de la Quadra-Salcedo bajo la perspectiva digital

El reporterismo en España cuenta con una profusa labor periodística y numerosos profesionales desplazados hasta los lugares donde surgen los hechos y desde los que son narrados. En un contexto de difusión democratizada, digital, ubicua, social y multipantalla, resulta necesario acercarse a la historia del periodismo de reportero en nuestro país, así como conocer la labor realizada para ponerla en valor. El presente artículo estudia la figura de Miguel de la Quadra-Salcedo y la digitalización de su obra periodística llevada a cabo por TVE. Así mismo, rastrea su presencia en las principales redes y plataformas sociales justo antes y después de su fallecimiento.

Mentalizing and Information Propagation through Social Network: Evidence from a Resting-State-fMRI Study.

Microblogs is one of the main social networking channels by which information is spread. Among them, Sina Weibo is one of the largest social networking channels in China. Millions of users repost information from Sina Weibo and share embedded emotion at the same time. The present study investigated participants’ propensity to repost microblog messages of positive, negative, or neutral valence, and studied the neural correlates during resting state with the reposting rate of each type microblog messages. Participants preferred to repost negative messages relative to positive and neutral messages. Reposting rate of negative messages was positively correlated to the functional connectivity of temporoparietal junction (TPJ) with insula, and TPJ with dorsolateral prefrontal cortex. These results indicate that reposting negative messages is related to conflict resolution between the feeling of pain/disgust and the intention to repost significant information. Thus, resposting emotional microblog messages might be attributed to participants’ appraisal of personal and recipient’s interest, as well as their cognitive process for decision making.

Hospitales españoles en la web social. Gestión de Facebook y Twitter por el Hospital Sant Joan de Dèu (Barcelona)

Se analiza la presencia de los hospitales españoles con mejor reputación en la Web participativa y se profundiza en el estudio de caso de uno de ellos, el Hospital Sant Joan de Dèu (Barcelona). El objetivo es doble: diagnosticar la adopción general de social media y evaluar la gestión de Facebook y Twitter por uno de los hospitales más destacados. Metodología. Se combina un estudio observacional descriptivo transversal con el análisis de contenido para el estudio de caso. Resultados y conclusiones. Solo un 50% de los hospitales españoles utilizan Facebook, Twitter o YouTube como canales de comunicación. Los porcentajes descienden por debajo del 30% para el resto de medios sociales. El hospital analizado se convierte en educador en salud en sus principales redes 2.0. Las publicaciones con mayor impacto social son aquellas relacionadas con temáticas sensibles, así como proyectos individuales y solidarios que implican a la red propia del agente en cuestión.

ANALISIS DE NECESIDADES PARA LA IMPLEMENTACION DE DISEÑOS ERGONÓMICOS EN EMPRESAS Y CONTEXTOS EDUCATIVOS CON ESPECIAL REFERENCIA A LA DISCAPACIDAD

Durante los últimos años la Asociación INFAD en colaboración con la Asociación Unión por la Innovación G21 viene centrando parte de sus esfuerzos en la potenciación de la Ergonomía como disciplina científica, y de forma muy concreta aquellas aplicaciones que tocan de cerca el ámbito de la discapacidad ofreciendo estrategias que generen elementos de inclusión social y herramientas útiles para construir entornos accesibles que habrán de contribuir al desarrollo integral de la persona con discapacidad. En este contexto presentamos los resultados del trabajo sobre identificación de necesidades, actitudes y retos de los distintos agentes implicados en el abordaje de la Ergonomía. Los objetivos de este análisis son dar a conocer la situación actual de las empresas en cuanto al nivel real de implementación de Diseños Accesibles y Universales, así como la identificación de actitudes y retos, considerando siempre las principales partes implicadas en este proceso. El cuestionario on-line fue el instrumento básico utilizado para la investigación. Para ello se recogieron las principales variables sobre las que se precisaba información generando preguntas concretas capaces de suscitar respuestas fiables, válidas y susceptibles de ser cuantificadas. La encuesta se distribuyó a través de las principales redes sociales que operan con INFAD, priorizando contextos empresariales, universitarios y educativos. Participaron un total de 100 personas cuyo perfil se corresponde con los principales actores que interactúan en el proceso de implementación de diseños ergonómicos en contextos educativos y empresariales: empresarios, empleadores, directivos, gestores de empresa, trabajadores y trabajadores con algún tipo de discapacidad. Palabras clave: Ergonomía, discapacidad, educación, accesibilidad, empresas, trabajadores

Lean seis sigma: uma contribuição bibliométrica dos últimos 15 anos

A organização de dados sobre a produção científica de um período contribui para a continuidade das investigações e evolução de uma dada área do conhecimento. O objetivo principal desse estudo, portanto, é investigar o perfil das pesquisas sobre o Lean Seis Sigma (LSS), entre 1999 e 2014. O trabalho foi realizado apoiando-se em técnicas bibliométricas, por meio da consulta à base ISI Web of Knowledge e seu tratamento dos dados pelos softwares Sitkis® e Ucinet®. Para a pesquisa utilizou-se “Lean Six Sigma” como expressão-chave, gerando uma amostra constituída por 84 artigos publicados. Ao final do estudo foram apresentados resultados de estatística descritiva com a identificação dos autores, artigos e periódicos mais referenciados por estudiosos em todo o mundo. Além das principais redes de relacionamento de autores e citações; nuvem de palavras-chave; e as abordagens metodológicas preferidas pelos autores. Este trabalho, então, torna-se um importante aliado no desenvolvimento de novas ideias, conceitos e perspectivas de abordagens sobre o LSS.

Personal style bloggers: the most popular visual composition principles and themes on instagram

Instagram is one of the main social networking services personal style bloggers choose for interacting with followers. The goal of the present study is to detect the most common principles of visual composition and themes used by the world’s ten most influential bloggers. To achieve this goal we have employed a content analysis, using a sample of 503 Instagram images. The results indicate that the bloggers’ visual pattern of choice on Instagram corresponds to a wide shot with a full body view of the blogger against a significant background. The shot is taken at eye level angle and the predominant visual elements —the blogger and/or the product— are located in the centre of the photograph.

The Use of Social Networking by Higher Education Institutions in Spain

The objective of this study was to analyse the use Spanish universities are making of the main social network today: Facebook. The research adapts to the Higher Education Institutions context an evaluation index denominated FAI that has been used in other areas. It applies the index to all of Spain's universities, making comparisons between them and the best universities in the world. The results show that Spanish universities' indices are far from the values obtained by the best international universities, and that the country's private universities have better results than the public ones. It is an intention of the work to contribute to the tools the marketing managers of higher education institutions might use in how they relate to social networks and to the opportunities and threats these pose.

Social network analysis and supply chain management

&lt;p&gt;This paper deals with social network analysis and how it could be integrated within supply chain management from a decision-making point of view. Even though the benefits of using social analysis have are widely accepted at both academic and industry/services context, there is still a lack of solid frameworks that allow decision-makers to connect the usage and obtained results of social network analysis – mainly both information and knowledge flows and derived results- with supply chain management objectives and goals. This paper gives an overview of social network analysis, the main social network analysis metrics, supply chain performance and, finally, it identifies how future frameworks could close the gap and link the results of social network analysis with the supply chain management decision-making processes. &lt;/p&gt;

Operations Programming in Production Systems Permutation Flow Shop: A Bibliometric Contribution

The organization of data on the scientific production of a period contributes to the continuity of research and development of a particular field of knowledge. The main objective of this study is therefore to quantitatively analyze what occurred in relation to the programming problem in Production Systems shop permutation. This was a study of bibliometric analysis, using data from the database ISI Web of Knowledge and its treatment by Sitkis® and Ucinet® software. For the research we used the following key terms: scheduling or sequencing and Flow shop permutational or permutation flow shop, generating a sample of 276 articles published. At the end of the study were presented descriptive statistics results with the identification of the authors, articles and journals most referenced by researchers worldwide. Besides the main social networks of authors, citations and keywords. This work, then, becomes an important ally in the development of new ideas, concepts and approaches of perspectives on the subject.

Redes Sociales Visuales: Caracterización, Componentes y posibilidades para el SEO de Sitios Intensivos en Contenidos

Description, functions and components of visual social media. Presentation of an analysis matrix for visual social media, which is applied in a comparative analysis of the three main social networks of that kind: Pinterest, Tumblr and Instagram. Description of content-heavy websites and of the link between visual social media and SEO in this category, highlighting that digital newspapers generate a significant volume of multimedia content which are promoted by visual social media as those analyzed in this article.

Bidirectional Influence: A Longitudinal Analysis of Size of Drug Network and Depression Among Inner-City Residents in Baltimore, Maryland

Background: The prevalence of depression among drug users is high. It has been recognized that drug use behaviors can be influenced and spread through social networks. Objectives: We investigated the directional relationship between social network factors and depressive symptoms among a sample of inner-city residents in Baltimore, MD. Methods: We performed a longitudinal study of four-wave data collected from a network-based HIV/STI prevention intervention for women and network members, consisting of both men and women. Our primary outcome and exposure were depression using CESD scale and social network characteristics, respectively. Linear-mixed model with clustering adjustment was used to account for both repeated measurement and network design. Results: Of the 746 participants, those who had high levels of depression tended to be female, less educated, homeless, smokers, and did not have a main partner. In the univariate longitudinal model, larger size of drug network was significantly associated with depression (OR = 1.38, p < .001). This relationship held after controlling for age, gender, homeless in the past 6 months, college education, having a main partner, cigarette smoking, perceived health, and social support network (aOR = 1.19, p = .001). In the univariate mixed model using depression to predict size of drug network, the data suggested that depression was associated with larger size of drug network (coef. = 1.23, p < .001) and the same relation held in multivariate model (adjusted coef. = 1.08, p = .001). Conclusions: The results suggest that larger size of drug network is a risk factor for depression, and vice versa. Further intervention strategies to reduce depression should address social networks factors.

Management of electronic social networks by students of medicine: The case of publication of photographs with patients and professional medical conduct.

The socio-demographic characterization of medical students at the Pontificia Universidad Javeriana in Cali, Colombia, was made using a survey and focus group discussion to collect information on access to the Internet, management of electronic social networks and the dissemination of photographs with patients taken during medical teaching rounds, a practice that constitutes a breach of professional medical conduct. To identify the management of social electronic networks by students of medicine with respect to the publication of photographs with patients. A descriptive cross-sectional study was undertaken to characterize students of medicine at the Pontificia Universidad Javeriana in Cali. Of the 423 students enrolled in January 2013, 299 participated in a survey designed with the software Cardiff TELEform®, version 10.0. Twenty students were also selected at random for a focus group discussion on the publication of photographs with patients on electronic social networks. Of the students surveyed, 97.6% claimed to be active users of at least one of the main electronic social networks (96.2% Facebook, 70.5% Instagram and 44.1% Twitter). Of these, 52 (17.6%) admitted having published a photograph showing patient care on at least one occasion. Most of the students had smartphones and user profiles on the main social electronic networks, on which they disseminated photographs of patients taken during teaching rounds, as well as images of various activities which could have ethical and legal implications and contravene standards of professional medical conduct.