349 research outputs found

    Integrating Remote Sensing, GIS, Census, and Socioeconomic Data in Studying the Population–Land Use/Cover Nexus in Ghana: A Literature Update

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    Land is a very important asset and a means to sustain livelihood. In the face of a rapidly growing global population, increase in technological capacity, and affluence, the earth’s land cover has been transformed, especially in developing countries. At the same time, social organisation, attitudes, and values have also undergone profound changes. In contemporary times, issues of sustainabledevelopment, pollution prevention, global environmental change and related issues of human-environment interaction have been a major concern globally. This concern has largely been sparked by the phenomenon of global warming and its consequences, which are threatening the very existence of humans on the surface of the earth. Remotely sensed data (mainly from aerial photographs and satellite images) in combination with Geographical Information Systems(GIS) have been observed to have potential scientific value for the study of population-environment interaction. This paper provides an account of how Remote Sensing, GIS, census (mainly population and agricultural) and socioeconomic (household, district and regional) survey data have been integrated in studying the population land-use/cover nexus in Ghana. It also identifies the major methodological challenges, and solutions

    The contribution of Social Network Analysis in Public Policies - The challenges to combine SNA with Multicriteria Analysis

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    This article discusses to which theoretical concepts and research questions in the field of public policies social network analysis (SNA) can make a fruitful contribution. I argue that only by combining SNA with a content analysis we can study appropriately a given decision making process and explain policy outputs. This article illustrates the challenges and possibilities to combine SNA with multicriteria analysis and indicates the contribution of SNA in the field of public policies. Concretely, the analysis of the Swiss climate policy as a case study shows where multicriteria analysis confirms SNA’s findings, and where it gives even additional and necessary content information to explain policy outputs. Finally, the author answers the question if both methods together strengthen the understanding of a specific policy development and if they realise an added value to research projects in social sciences

    Cooperation bibliogram of bird flu

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    The published literature on Bird Flu, now a pandemic animal disease with a possible potential of evolving into a devastating human disease, was analysed primarily with respect of national and international cooperations and networks of authors and countries. The output of research-relevant papers is now around 150 per year and was less than 100 papers per year before 2003. The field is highly cooperative; nearly 90% of the articles have two or more authors. National extramural cooperation is around 50% since 1998, intramural cooperation shows a decreasing tendency and is now about 20%. Between 20% and 30% of the papers have been published in bi- or multinational cooperation. Observed and expected citation rates of international papers are twice as high as the citation rates of national papers. 47 countries are engaged in Bird Flu research, on top USA, followed by PEOPLES R CHINA, UK and JAPAN. These countries are also centers of country networks, but minor centers exist. An Asian local network with strong ties consisting of countries most affected by Bird Flu can be identified.. No strong direct connections exist between Europe and Asia; thus it seems necessary to intensify international cooperation. Author network show interesting cluster structures which must be studied in detail

    Applying clustering coefficient to the pattern of international author collaboration in neuroimmunology and neuroinflammation

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    Aim: To apply cluster coefficient (CC) to the pattern of international author collaborations in neuroimmunology and neuroinflammation using data from Medline and to visualize results using Google maps and social network analysis (SNA).Methods: Selecting 2799 abstracts, author names, countries, and keywords on January 22, 2018 from Medline based on keyword neuroimmunology (or neuroinflammation) within the article title since 1982, we reported following features: (1) nation distribution for the 1st author’s nationality; (2) eminent journals and authors in the field of neuroimmunology and neuroinflammation; (3) notable keywords defined by authors representing both neuroimmunology and neuroinflammation; and (4) CCs in networks. We programmed Microsoft Excel VBA routines to extract data from Medline and used Google Maps and SNA Pajek software to display graphical representations with an easy-to-read feature for readers.Results: We found that: (1) the most number of papers in neuroimmunology and neuroinflammation are from the USA (902, 32.23%) and China (363, 12.97%); (2) the productive journals and authors in neuroimmunology and neuroinflammation are J Neuroinflammation and PLoS One, and Michael T. Heneka (Germany) and Richard M. Ransohoff (USA); (3) the most linked keywords are interleukin (IL), IL-1beta, and blood brain barrier; (4) author networks present higher CC than those nation networks.Conclusion: SNA provides wide and deep insight into the relationships among nations in co-author collaboration. The results can help readers in future submission to a journal in neuroimmunology and neuroinflammation

    Social network analysis workshop for water and resource management

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    April 2014.Social network analysis (SNA) is a system for studying relationships and transactions between people, organizations, countries, and other entities. The purpose of this CWI project was to research and apply SNA techniques, then develop materials to provide a Fall 2013 half-day introductory workshop in Social Network Analysis for Water and Natural Resources Management at Colorado State University (CSU). The SNA workshop introduced interested students and professionals in engineering, natural resources, agriculture, and other scientific disciplines to complimentary analysis for human dimensions of their work and research through SNA principles and techniques. Complex social-ecological systems cannot be well-studied by only relying on technical analysis of the natural systems. SNA can help analyze how humans interact with resources and their environment and how their ties affect management choices. Social network structure can then be improved to enhance cooperation and innovation. CSU TILT instructional designers were involved in periodic workshop materials review with focus on implementing Research-Based Instructional (RBI) design. The workshop was marketed intensively for three weeks prior to delivery. The most effective means of participant recruitment were word of mouth and group emails, rather than posted flyers or campus-wide online calendars and newsletters. Instead of a traditional classroom, the SNA workshop was held in a conference room that permitted all attendees to sit facing one another around a large oval table, which enhanced participation and shared learning. Expert speakers with real world experience and warnings helped attendees better understand SNA application context and nuance. Providing two smaller sessions, rather than one larger offering, also allowed all attendees to participate more fully, and post-workshop evaluations from the first session were used to improve the second session by most evaluation measures. Follow-up included posting an SNA software demo online using CSU Echo 360 software and expanding other resources and discussion at the SNA Workshop Collaborative website to serve as an ongoing source for learning and sharing. Although not in the scope of the original project, in the Spring of 2014, a half-hour panel brief, a shortened seminar for undergraduates, and SNA software training for graduate students were also tested for SNA technical education merit. The SNA workshop will continue to be refined and tailored to specific CSU departments and programs, and it may be offered to more academic institutions and for other groups and agencies statewide and nationwide. Since attendees felt more time was needed to cover the many related topics and better learn SNA software tools for different applications, the SNA workshop will also be developed into a semester-long course and related textbook

    Small-world in Author community of biotechnology: A study

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    The present research emphasizes the small world phenomenon in author community of Biotechnology. The author-community data for the study has been extracted from Web of Knowledge for tenure of 2003-2012 i.e. ten years. The data was then analyzed using scientometirc and social network analysis criteria’s.The results show 94.52% of articles were written by Collaborative authors and 5.47% articles were written by solo authors. Puhler, A stands first in the list of prolific authors of Biotechnology with highest number of articles 62(0.34%) and SNA results also shows that Puhler is highly collaborative. The Characteristic path length of Biotechnology author community is 2.49which supports small world phenomeno

    The Structure of Scientific Collaboration Networks in Scientometrics

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    The structure of scientific collaboration networks in scientometrics was investigated at the level of individuals by using bibliographic data of all papers published in the international journal Scientometrics retrieved from the Science Citation Index (SCI) during 1978 to 2004. Combined analysis of social network analysis (SNA), co-occurrence analysis, cluster analysis and frequency analysis of words was explored to reveal: (1) The microstructure of the collaboration network on scientists’ aspects of scientometrics; (2) The major collaborative fields of the collaborative sub-networks; (3) The collaborative center of the collaboration network in scientometrics

    EXPERIENCES AND PROBLEMS OF THE CIS COUNTRIES IN TRANSITION FROM THE MPS TO THE SNA

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    This paper reviews the transition of national accounts in the Commonwealth of Independent States (CIS) countries from the Material Product System (MPS) to the United Nations System of National Accounts (SNA) and discusses the major problems that still need to be solved in order to improve the quality of their national accounts. It argues that the MPS practice tended to exaggerate growth not because of different concepts, but because of methodological problems such as inadequate deflation due to poor price data and incomplete coverage of the non-observed economy as well as overpricing of new or modified products and institutional flaws that motivated data fabrication by enterprises. However, the heritages of the problems under the MPS, together with the emerging new types of institutional units, new sources of income and market-driven new services, have made the transition difficult. Copyright 2009 The Author. Journal compilation International Association for Research in Income and Wealth 2009.

    The methodological status of co-authorship networks

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    A powerful strategy within the study of collaboration in science is to posit that co-authorship patterns represent social networks. It is prerequisite to an application of Social Network Analysis (SNA) to define the network entities. A network analysis of the inter-institutional collaboration in COLLNET on the basis of co-authorships was conducted. The study reveals that it is crucial whether the co-authorship itself is seen as an author's relational property or as a social event that brings the authors together. The former possibility is represented by a onemode network in which each author can be related to each other author. Quite distinct from that are two-mode networks, the latter approach. They consist of two single data sets in which relations are only possible between different sets. Different modes of representations require different network approaches. One is that co-authorship networks are seen as one-mode networks, which has the advantage of the application of a variety of measures. In contrast, twomode networks, the other option, cannot be analysed by standard techniques but its distinctive features demand a new conceptualisation of measures. In conclusion, the two-mode perspective is more promising because it allows a dual perspective on collaboration in science which includes researchers as well as their scientific output

    Re thinking of the Theory of Financial Out put Accounting

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    一、SnA金融产出核算方法留给我们的难题如果将1968年SnA与1993年SnA相比较,不难发现,它们在金融产出核算理论和方法上存在着较大的差异。众所周知,1968年SnA将利息收入定义为财产收入而不是生产性收入,但它设计出一种变通的核算方法,即将利...Abstract Through the analysis on the theory of SNA financial out put accounting,the author has pointed out its limitation and introduced the concept of risk revenue,finally the author put up a new idea of financial out put accounting which is different from that of SNA
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