14.11.09

CFP: Special Issue of International Journal of Electronic Commerce on Mining Social Media

CFP: Special Issue of International Journal of Electronic Commerce on Mining Social Media

Abstracts: 15 January 2010; Full papers: 15 April 2010

After the experience of organizing the First International Workshop on Social Media, we have been organizing a special issue of the IJEC (International Journal of Electronic Commerce) on Mining Social Media. Now we release the CFP hoping to receive high quality papers on Mining Social Media.

OVERVIEW

Recently, Forrester published a report, "The Future of the Social Web" where they sketched a timeline of the development of the Social Web, dividing its evolution in 5 eras. According to that report, the first era of the development of the Social Web started to explode the social relationships among users. Then, in the social functionality era, these social relationships resulted in the social functionality era where several websites started to add social functionalities in order to help users to interact with their peers. We are now in the era of Social Colonization, where technologies like Facebook Connect or Google Friend Connect have standardized social functionalities among websites and a vast majority of websites now include several social functionalities. Soon these federated identities will empower people to enter the era of social context with personalized and social content, and the development of tools for personalize social content will aim the development of the era of social commerce.

The primary goal of the proposed special issue of International Journal of Electronic Commerce is to foster research in the interplay between Social Media, Data Mining and Electronic Commerce, trying to reflect the actual developments on technologies that fit on the Social Context era.

SCOPE

The International Journal of Electronic Commerce is the #1-ranked journal on Electronic Commerce globally. This Special Issue will provide a significant opportunity for authors to publish important novel and original contributions in the area of Data Mining applied to Social Media. The guest editors seek papers and proposals that address various aspects of Mining Social Media, including recommender systems for social media, data mining algorithms designed to explode Social Networks, information management for Social Networks, etc.

RESEARCH QUESTIONS

We invite scholars and professionals from a broad range of disciplines to submit to this Special Issue. Papers may encompass any or all of the following: foundational theoretical analyses, modelling, simulation, and empirical studies. Authors may examine different aspects of mining social media in any of a variety of possible contexts. Special topics of interest include, but are not limited to, the following:

A. Data Mining for Social Networks

  • Novel Algorithms
  • Association Rules
  • Mining semi-structured data
  • Classification and Ranking
  • Clustering
  • Text Mining
  • Machine Learning
  • Privacy Preserved Data Mining
  • Statistical Methods
  • Temporal and spatial data mining
  • Parallel and Distributed Data Mining
  • Interactive and Online Mining Data and Knowledge Visualization
  • Multimedia mining (audio/video)
  • Ensemble Methods
  • Web Mining
  • Graph Mining
  • Link Mining

B. Information Management for Social Networks

  • Recommender Systems
  • Information Retrieval
  • Sentiment Analysis
  • Natural Language Processing
  • Question Answering
  • Semantic Processing
  • Graph Analysis and Complex Networks
  • Social Network Analysis

C. Possible applications

  • Electronic Commerce
  • E-Mail Spam Detection
  • Blog/Social Networks Spam Detection
  • Community Detection
  • Users/content recommenders
  • Trends discovery
  • Blogs/Social Networks Community Dynamics
  • User Reviews Ranking
  • Blogs/Social Networks Contributions Summarization
  • Abuse/Fraud Detection
  • User Profile Modelling
  • Event Detection and Tracking in Social Media
  • Online Advertising

SUBMISSION GUIDELINES

Manuscripts submitted to the special issue should contain original material not published in nor submitted to other journals. Each manuscript has to have a cover page with the author information and another page with title and abstract but the author information omitted. The review process is double-blind and papers which do not meet publication quality standards will be rejected before the review process.

Interested authors are required to submit extended abstracts of no more than two pages for their planned submissions. This will give the editorial team an opportunity to determine if a given submission is appropriate for expedited handling and review.

Full papers should be sent via e-mail to Jose Carlos Cortizo (josecarlos.cortizo@wipley.com) in anonymized PDF Format, not including any author names or affiliations, and should not exceed 40 pages.

IMPORTANT DATES

  • Abstracts DeadLine: 15 January 2010
  • Abstracts Feedback: 30 January 2010
  • Full Paper Submission: 15 April 2010
  • Revision Notification: 1 June 2010
  • Revised Manuscripts: 1 August 2010
  • Final Decision: 1 October 2010

Seguridad Twitter

Un correo recibido amablemente desde una dirección de administración de Twitter (twitter-resetpw-jmgo***=yah***@postmaster.twitter.com, los asteriscos los he puesto yo):

Si yo no he solicitado un recordatorio de contraseña, ¿porqué me mandan este correo? ¿Porque no me he logado hace X días? ¿Porque otro ha intentado hacerse con mi cuenta? Bueno, si es lo primero, no me gusta nada, y desde luego es una de las razones que explican la cantidad de spam que hay en Twitter, junto con otras como la reducción de direcciones que se utiliza para que quepa tu mcropost (y otros para ocultar una web con software malicioso), etc.

13.11.09

Opinion Mining applied to Scientific Literature

Before I read this interesting presentation by Simone Teufel at the Text Mining for Scholarly Communications and Repositories Joint Workshop held at the NACTEM, I did not realized how useful may be Sentiment Analysis and Opinion Mining applied to scientific literature.

Scientific papers are read by many people, with different profiles. You can be editing a journal, reviewing it for a conference, or informing yourself with respect to your research (among other things...). In each role, you may want to check an specific part of a paper: the one in which the technique is described, the related work one, the one which summarizes (and sells) the novel contribution, etc. Opinion Mining (with the specifics of scientific texts) can detect those sections you should read first, or which just act as a discharge summary of relevance for investing more time on the paper, for instance. The following paper is annotated with the semantic (scientific) functions:

The work by Teufel also focus on the analysis of citations. Used to support your work or mine, in contrast with it, etc? For instance, the following graph shows a paper, some of the citations and if they are supporting or contrasting:

I find it very interesting and potentially work-saving. Although as tools able to do this analysis go to e.g. Scientific Publishing market, there will be "adversaries" trying to take advantage of them in order to get some low quality papers accepted in journals and conferences... Another adversarial text classification problem!

12.11.09

Seminarios MAVIR: Peter Mika y Bing Liu 16-18/11/2009

SEMINARIOS MAVIR: Peter Mika y Bing Liu
Lunes 16, martes 17 y miércoles 18 de noviembre de 2009 en la UNED

Con motivo de la participación de Peter Mika y Bing Liu en las IV Jornadas MAVIR, se han organizado para los días previos un seminarios de carácter científico dirigidos a los alumnos de máster y a los investigadores del consorcio, que se celebrarán de lunes a miércoles por la tarde en la ETSI Industriales de la UNED.

TÍTULO: SearchMonkey, Micro-formats and Yahoo! APIs
PONENTE: Peter Mika (Yahoo! Research Barcelona)
HORARIO: lunes 16/11/2009 y martes 17/11/2009 a las 15h00

TÍTULO: Web Content Mining and NLP
PONENTE: Bing Liu (University of Illinois at Chicago)
HORARIO: miércoles 18/11/2009 a las 15h00

LUGAR DE CELEBRACIÓN:
Salón de Grados
ETSI Industriales, UNED
c/ Juan del Rosal, 12
28040 Madrid

6.11.09

Novática: Software libre para empresas y Referencias Autorizadas

El último número publicado (199, mayo-junio, 2009) de la revista Novática se encuentra disponible al completo para todo el público debido a su temática: software libre para empresas. Extraído del artículo El software libre en el mundo corporativo, escrito por Jesús M. Gonzalez-Barahona, Teófilo Romera Otero y Björn Lundell:

El software libre es un nuevo mundo en sí mismo tanto para las empresas como para los profesionales. Es por eso que comprender cómo encontrar oportunidades en él es cada vez más importante a medida que los productos de software libre se usan más y más en la industria del software y en otros sectores que dependen del software para sus actividades. En este texto, se exploran algunos de los nuevos aspectos que aparecen al aproximarse al software libre y cómo las empresas reaccionan a ellos.

Las Referencias Autorizadas de los últimos números también están disponibles en PDF en la web de Novática, incluyendo las de la sección de Acceso y Recuperación de Información, en la que colaboro con Manuel Maña:

5.11.09

First Spring School on Social Media Retrieval

The First Spring School on Social Media Retrieval will be held during February 22-25, 2010 in Interlaken, Switzerland. The event is organized by the EU PetaMedia Network of Excellence.

Application deadline: November 17, 2009.

Multimedia content has become ubiquitous on the web, creating new challenges for indexing, access, search and retrieval. At the same time, much of this content is made available on content sharing websites like YouTube or Flickr, or shared on social networks like Facebook. In such environments, the content is usually accompanied with metadata, tags, ratings, comments, information about the uploaders and their social network, etc.

Analysis of these "social media" shows a great potential in improving the performance of traditional multimedia information analysis/retrieval approaches by bridging the semantic gap between the "objective" multimedia content analysis and "subjective" users' needs and impressions. The integration of these aspects however is non-trivial and has created a vibrant, interdisciplinary field of research.

The Spring School on Social Media Retrieval aims at bringing together young researchers from neighboring disciplines, offering:

  1. Lectures delivered by experts from academy and industry providing a clear and in-depth summary of state-of-the-art research in social media retrieval,
  2. Collaborative projects in small groups providing hands-on experience on integrative work on selected problems from the field.

Scope:

  • Content distribution over social/peer-to-peer networks
  • Multimedia content analysis
  • Automatic multimedia annotation/tagging
  • Multimedia indexing/search/retrieval
  • Implicit media tagging
  • Social data analysis
  • Collaborative tagging

Lecturers:

  • Prof. Dr. Susanne Boll (University of Oldenburg, Germany)
  • Dr. Ciro Cattuto (ISI Foundation, Turin, Italy)
  • Prof. Dr. Ramesh Jain (University of California, Irvine, USA)
  • Dr. Roelof van Zwol (Yahoo! Research Barcelona, Spain)

Nuevos canales de INTECO en Redes Sociales

Desde INTECO se han abierto nuevos canales en las diferentes redes sociales. El objetivo de estos canales es poder informar y concienciar a los usuarios con diferentes avisos de seguridad así como informar sobre cuestiones especificas de seguridad a través de estos canales, ampliando los canales tradicionales. En concreto se han abierto canales desde dos áreas de eConfianza:

  • Desde INTECO-CERT, enfocado principalmente a un perfil de usuario medio / avanzado, administradores de sistemas, empresas, etc.
  • Desde la Oficina de seguridad del internauta (OSI), enfocado principalmente a un perfil de usuario con conocimientos básicos en materia TIC.

Los nuevos canales que INTECO-CERT ha abierto son los siguientes:

  • Youtube: desde donde podréis ver diferentes vídeos. Actualmente podéis ver un vídeo de difusión, pero también se incluirán pequeños vídeo-tutoriales sobre cuestiones relativas a la seguridad.
  • Twitter: desde donde difundirán diferentes avisos de seguridad, así como cuestiones específicas de este canal.
  • Facebook: desde donde podéis pasar a haceros "fan" del perfil. En esta web de INTECO-CERT también podréis ver avisos de seguridad, consejos de seguridad, y cuestiones específicas de este canal.

Los nuevos canales que desde la Oficina de seguridad del Internauta (OSI) ha abierto son los siguientes:

  • Youtube, será el canal donde se publicarán los diferentes videos "virales" con un carácter de concienciación intentando encontrar similitudes entre la vida virtual y la real, os invitamos a visitar este canal y ver el video que tenemos publicado actualmente. También se incluirán video-tutoriales de cara a estos perfiles.
  • Twitter, desde donde se lanzarán cuestiones básicas relativas a la seguridad de la información.
  • Facebook, en este caso si tenéis una cuenta en Facebook, podéis haceros fan desde perfil. También servirá como canal para hacerse eco de avisos de seguridad importantes y consejos de seguridad básicos, etc