Models of Social Groups in Blogosphere Based on Information about Comment Addressees and Sentiments

This work concerns the analysis of number, sizes and other characteristics of groups identified in the blogosphere using a set of models identifying social relations. These models differ regarding identification of social relations, influenced by methods of classifying the addressee of the comments (they are either the post author or the author of a comment on which this comment is directly addressing) and by a sentiment calculated for comments considering the statistics of words present and connotation. The state of a selected blog portal was analyzed in sequential, partly overlapping time intervals. Groups in each interval were identified using a version of the CPM algorithm, on the basis of them, stable groups, existing for at least a minimal assumed duration of time, were identified.Comment: Gliwa B., Ko\'zlak J., Zygmunt A., Models of Social Groups in Blogosphere Based on Information about Comment Addressees and Sentiments, in the K. Aberer et al. (Eds.): SocInfo 2012, LNCS 7710, pp. 475-488, Best Paper Awar

Social Network Analysis shed light on a study case, a typical company with NodeXL

The interest in social network has extended to different disciplines, such as Computer Science. This approach brings Social Network Analysis (SNA) as the study of social structure in different environments, like companies. For this reason, the present paper highlights basic network information like graphs using actors and relations, and important concepts related to companies like hierarchy. Finally, to obtain a practical approach of SNA, we describe the company as a sociometric experiment using NodeXL to verify the contrast of traditional Company chart and the application of sociometry to data sets; keeping attention to show how employees make informal contact and the knowledge this brings. Furthermore, companies in society, are a system of actors joined by relationships

Social Network Analysis shed light on a study case, a typical company with NodeXL

The interest in social network has extended to different disciplines, such as Computer Science. This approach brings Social Network Analysis (SNA) as the study of social structure in different environments, like companies. For this reason, the present paper highlights basic network information like graphs using actors and relations, and important concepts related to companies like hierarchy. Finally, to obtain a practical approach of SNA, we describe the company as a sociometric experiment using NodeXL to verify the contrast of traditional Company chart and the application of sociometry to data sets; keeping attention to show how employees make informal contact and the knowledge this brings. Furthermore, companies in society, are a system of actors joined by relationships

Social Network Analysis shed light on a study case, a typical company with NodeXL

The interest in social network has extended to different disciplines, such as Computer Science. This approach brings Social Network Analysis (SNA) as the study of social structure in different environments, like companies. For this reason, the present paper highlights basic network information like graphs using actors and relations, and important concepts related to companies like hierarchy. Finally, to obtain a practical approach of SNA, we describe the company as a sociometric experiment using NodeXL to verify the contrast of traditional Company chart and the application of sociometry to data sets; keeping attention to show how employees make informal contact and the knowledge this brings. Furthermore, companies in society, are a system of actors joined by relationships.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Social Network Analysis shed light on a study case, a typical company with NodeXL

The interest in social network has extended to different disciplines, such as Computer Science. This approach brings Social Network Analysis (SNA) as the study of social structure in different environments, like companies. For this reason, the present paper highlights basic network information like graphs using actors and relations, and important concepts related to companies like hierarchy. Finally, to obtain a practical approach of SNA, we describe the company as a sociometric experiment using NodeXL to verify the contrast of traditional Company chart and the application of sociometry to data sets; keeping attention to show how employees make informal contact and the knowledge this brings. Furthermore, companies in society, are a system of actors joined by relationships.Sociedad Argentina de Informática e Investigación Operativa (SADIO

Diamond Dicing

In OLAP, analysts often select an interesting sample of the data. For example, an analyst might focus on products bringing revenues of at least 100 000 dollars, or on shops having sales greater than 400 000 dollars. However, current systems do not allow the application of both of these thresholds simultaneously, selecting products and shops satisfying both thresholds. For such purposes, we introduce the diamond cube operator, filling a gap among existing data warehouse operations. Because of the interaction between dimensions the computation of diamond cubes is challenging. We compare and test various algorithms on large data sets of more than 100 million facts. We find that while it is possible to implement diamonds in SQL, it is inefficient. Indeed, our custom implementation can be a hundred times faster than popular database engines (including a row-store and a column-store).Comment: 29 page

Using social network analysis in the classroom: a case study applying nodeXL

The interest in social networks has extended to different disciplines, such as Computer Science. This approach brings Social Network Analysis (SNA) as the study of social structure in different environments, like companies, establishment, and schools, among others. For this reason, this article highlights basic network information like graphs using actors and relations and important concepts related to classroom like structure which constitutes it. Therefore, the main aim of this research is to examine the educational use of SNA. Furthermore, schools in society are a system of actors joined by relationships. Accordingly, the current paper presents a qualitative analysis through a practical approach of SNA, by describing the classroom as a sociometric experiment using NodeXL, to verify the contrast keeping attention in show how students make informal contact and the knowledge that this brings.XIII Workshop Tecnología Informática Aplicada en Educación (WTIAE)Red de Universidades con Carreras en Informática (RedUNCI

Using social network analysis in the classroom: a case study applying nodeXL

The interest in social networks has extended to different disciplines, such as Computer Science. This approach brings Social Network Analysis (SNA) as the study of social structure in different environments, like companies, establishment, and schools, among others. For this reason, this article highlights basic network information like graphs using actors and relations and important concepts related to classroom like structure which constitutes it. Therefore, the main aim of this research is to examine the educational use of SNA. Furthermore, schools in society are a system of actors joined by relationships. Accordingly, the current paper presents a qualitative analysis through a practical approach of SNA, by describing the classroom as a sociometric experiment using NodeXL, to verify the contrast keeping attention in show how students make informal contact and the knowledge that this brings.XIII Workshop Tecnología Informática Aplicada en Educación (WTIAE)Red de Universidades con Carreras en Informática (RedUNCI

A Bio-Inspired Algorithm for Searching Relationships in Social Networks

Proceedings of: Third International Conference on Computational Aspects of Social Networks (CASoN).Took place 2011, October,19-21 , in Salamanca (Sapin).The event Web site is http://www.mirlabs.net/cason11/Nowadays the Social Networks are experiencing a growing importance. The reason of this is that they enable the information exchange among people, meeting people in the same field of work or establishing collaborations with other research groups. In order to manage social networks and to find people inside them, they are usually represented as graphs with persons as nodes and relationships between them as edges. Once this is done, establishing contact with anyone involves searching the chain of people to reach him/her, that is, the search of the path inside the graph which joins two nodes. In this paper, a new algorithm based on nature is proposed to realize this search: SoS-ACO (Sense of Smell - Ant Colony Optimization). This algorithm improves the classical ACO algorithm when it is applied in huge graphs.This study was funded through a competitive grant awarded by the Spanish Ministry of Education and Science for the THUBAN Project (TIN2008-02711) and through MA2VICMR consortium (S2009/TIC-1542, http://www.mavir.net), a network of excellence funded by the Madrid Regional Government.Publicad