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The proceedings publish selected papers from the 2nd International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools. With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field. The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; the other is on the use of computational techniques. Finally, some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.

Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. Proposal planning and writing phase -- 3. Project start-up and data management phase -- 4. Data collection and file creation phase -- 5. Data analysis phase -- 6. Final project phase - preparing data for sharing -- 7. Data publishing -- References -- Contributors to the fourth edition

This paper presents considerations on the concept of fundamental social rights, such as those which require positive action on the part of the Public Administration to guarantee satisfactory life conditions to all. In the introduction, Donnely, Laporta and Noriega's classifications are presented; then the constitutional definition of the theme in Spain is discussed to build the concept of congenial freedom as the starting point to criticize positions at the far right or the far left, showing that it is necessary to recognize congenial freedom as the mechanism to understand fundamental rights, even if it may seem a contradictory concept. Once the concept has been presented, the thesis that fundamental social rights are simply political and economic policies, or political targets, is critized. Fundamental social rights are fundamental individual rights that must be recognized. That is, fundamental individual rights or fundamental social rights are indissociable. Finally, the limits of the concept of fundamental social rights are discussed based on the study of juridical concepts regarding general rights, fundamental rights and basic lega positions. ; Esto trabajo busca presentar las reflexiones sobre el concepto de los derechos fundamentales sociales como aquellos que requieren acción positiva de los Poderes públicos para garantizar condiciones de vida digna a todos los hombres. En la introducción, serán presentadas las clasificaciones de Donnely, Laporta y Noriega, para, después, tratar de la posición constitucional del tema en España para se construir el concepto de libertad solidaria señalando-se como el punto de partida para criticar posiciones de extrema derecha e izquierda donde se propone que es necesario reconocer la libertad solidaria como el mecanismo de comprensión de los derechos fundamentales, aunque parezca un concepto contradictorio. Puesto el concepto de libertad solidaria, pasa-se a criticar la tesis de que los derechos fundamentales sociales sean apenas principios de política económica y social o ...

From Social Science to Data Science is a fundamental guide to scaling up and advancing your programming skills in Python. From beginning to end, this book will enable you to understand merging, accessing, cleaning and interpreting data whilst gaining a deeper understanding into computational techniques and seeing the bigger picture. With key features such as tables, figures, step-by-step instruction and explanations giving a wider context, Hogan presents a clear and concise analysis on key data collection and skills in Python