Search (35 results, page 1 of 2)

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Abstract

Aggregated journal-journal citation networks based on the Journal Citation Reports 2004 of the Science Citation Index (5,968 journals) and the Social Science Citation Index (1,712 journals) are made accessible from the perspective of any of these journals. A vector-space model Is used for normalization, and the results are brought online at http://www.leydesdorff.net/jcr04 as input files for the visualization program Pajek. The user is thus able to analyze the citation environment in terms of links and graphs. Furthermore, the local impact of a journal is defined as its share of the total citations in the specific journal's citation environments; the vertical size of the nodes is varied proportionally to this citation impact. The horizontal size of each node can be used to provide the same information after correction for within-journal (self-)citations. In the "citing" environment, the equivalents of this measure can be considered as a citation activity index which maps how the relevant journal environment is perceived by the collective of authors of a given journal. As a policy application, the mechanism of Interdisciplinary developments among the sciences is elaborated for the case of nanotechnology journals.

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Abstract

QVIZ will research and create a framework for visualizing and querying archival resources by a time-space interface based on maps and emergent knowledge structures. The framework will also integrate social software, such as wikis, in order to utilize knowledge in existing and new communities of practice. QVIZ will lead to improved information sharing and knowledge creation, easier access to information in a user-adapted context and innovative ways of exploring and visualizing materials over time, between countries and other administrative units. The common European framework for sharing and accessing archival information provided by the QVIZ project will open a considerably larger commercial market based on archival materials as well as a richer understanding of European history.

Content

Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".

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Abstract

In the last few years, there is an increasing interest to generate visual representations of very large scientific domains. A methodology based on the combined use of ISI-JCR category cocitation and social networks analysis through the use of the Pathfinder algorithm has demonstrated its ability to achieve high quality, schematic visualizations for these kinds of domains. Now, the next step would be to generate these scientograms in an on-line fashion. To do so, there is a need to significantly decrease the run time of the latter pruning technique when working with category cocitation matrices of a large dimension like the ones handled in these large domains (Pathfinder has a time complexity order of O(n4), with n being the number of categories in the cocitation matrix, i.e., the number of nodes in the network). Although a previous improvement called Binary Pathfinder has already been proposed to speed up the original algorithm, its significant time complexity reduction is not enough for that aim. In this paper, we make use of a different shortest path computation from classical approaches in computer science graph theory to propose a new variant of the Pathfinder algorithm which allows us to reduce its time complexity in one order of magnitude, O(n3), and thus to significantly decrease the run time of the implementation when applied to large scientific domains considering the parameter q = n - 1. Besides, the new algorithm has a much simpler structure than the Binary Pathfinder as well as it saves a significant amount of memory with respect to the original Pathfinder by reducing the space complexity to the need of just storing two matrices. An experimental comparison will be developed using large networks from real-world domains to show the good performance of the new proposal.

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Source

Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas

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Footnote

Rez. in: JASIST 56(2005) no.10, S.1126-1128 (P.K. Nayar): "How Images Think is an exercise both in philosophical meditation and critical theorizing about media, images, affects, and cognition. Burnett combines the insights of neuroscience with theories of cognition and the computer sciences. He argues that contemporary metaphors - biological or mechanical - about either cognition, images, or computer intelligence severely limit our understanding of the image. He suggests in his introduction that "image" refers to the "complex set of interactions that constitute everyday life in image-worlds" (p. xviii). For Burnett the fact that increasing amounts of intelligence are being programmed into technologies and devices that use images as their main form of interaction and communication-computers, for instance-suggests that images are interfaces, structuring interaction, people, and the environment they share. New technologies are not simply extensions of human abilities and needs-they literally enlarge cultural and social preconceptions of the relationship between body and mind. The flow of information today is part of a continuum, with exceptional events standing as punctuation marks. This flow connects a variety of sources, some of which are continuous - available 24 hours - or "live" and radically alters issues of memory and history. Television and the Internet, notes Burnett, are not simply a simulated world-they are the world, and the distinctions between "natural" and "non-natural" have disappeared. Increasingly, we immerse ourselves in the image, as if we are there. We rarely become conscious of the fact that we are watching images of events-for all perceptioe, cognitive, and interpretive purposes, the image is the event for us. The proximity and distance of viewer from/with the viewed has altered so significantly that the screen is us. However, this is not to suggest that we are simply passive consumers of images. As Burnett points out, painstakingly, issues of creativity are involved in the process of visualization-viewwes generate what they see in the images. This involves the historical moment of viewing-such as viewing images of the WTC bombings-and the act of re-imagining. As Burnett puts it, "the questions about what is pictured and what is real have to do with vantage points [of the viewer] and not necessarily what is in the image" (p. 26). In his second chapter Burnett moves an to a discussion of "imagescapes." Analyzing the analogue-digital programming of images, Burnett uses the concept of "reverie" to describe the viewing experience. The reverie is a "giving in" to the viewing experience, a "state" in which conscious ("I am sitting down an this sofa to watch TV") and unconscious (pleasure, pain, anxiety) processes interact. Meaning emerges in the not-always easy or "clean" process of hybridization. This "enhances" the thinking process beyond the boundaries of either image or subject. Hybridization is the space of intelligence, exchange, and communication.
Moving an to virtual images, Burnett posits the existence of "microcultures": places where people take control of the means of creation and production in order to makes sense of their social and cultural experiences. Driven by the need for community, such microcultures generate specific images as part of a cultural movement (Burnett in fact argues that microcultures make it possible for a "small cinema of twenty-five seats to become part of a cultural movement" [p. 63]), where the process of visualization-which involves an awareness of the historical moment - is central to the info-world and imagescapes presented. The computer becomms an archive, a history. The challenge is not only of preserving information, but also of extracting information. Visualization increasingly involves this process of picking a "vantage point" in order to selectively assimilate the information. In virtual reality systems, and in the digital age in general, the distance between what is being pictured and what is experienced is overcome. Images used to be treated as opaque or transparent films among experience, perception, and thought. But, now, images are taken to another level, where the viewer is immersed in the image-experience. Burnett argues-though this is hardly a fresh insight-that "interactivity is only possible when images are the raw material used by participants to change if not transform the purpose of their viewing experience" (p. 90). He suggests that a work of art, "does not start its life as an image ... it gains the status of image when it is placed into a context of viewing and visualization" (p. 90). With simulations and cyberspace the viewing experience has been changed utterly. Burnett defines simulation as "mapping different realities into images that have an environmental, cultural, and social form" (p. 95). However, the emphasis in Burnett is significant-he suggests that interactivity is not achieved through effects, but as a result of experiences attached to stories. Narrative is not merely the effect of technology-it is as much about awareness as it is about Fantasy. Heightened awareness, which is popular culture's aim at all times, and now available through head-mounted displays (HMD), also involves human emotions and the subtleties of human intuition.
The sixth chapter looks at this interfacing of humans and machines and begins with a series of questions. The crucial one, to my mind, is this: "Does the distinction between humans and technology contribute to a lack of understanding of the continuous interrelationship and interdependence that exists between humans and all of their creations?" (p. 125) Burnett suggests that to use biological or mechanical views of the computer/mind (the computer as an input/output device) Limits our understanding of the ways in which we interact with machines. He thus points to the role of language, the conversations (including the one we held with machines when we were children) that seem to suggest a wholly different kind of relationship. Peer-to-peer communication (P2P), which is arguably the most widely used exchange mode of images today, is the subject of chapter seven. The issue here is whether P2P affects community building or community destruction. Burnett argues that the trope of community can be used to explore the flow of historical events that make up a continuum-from 17th-century letter writing to e-mail. In the new media-and Burnett uses the example of popular music which can be sampled, and reedited to create new compositions - the interpretive space is more flexible. Private networks can be set up, and the process of information retrieval (about which Burnett has already expended considerable space in the early chapters) involves a lot more of visualization. P2P networks, as Burnett points out, are about information management. They are about the harmony between machines and humans, and constitute a new ecology of communications. Turning to computer games, Burnett looks at the processes of interaction, experience, and reconstruction in simulated artificial life worlds, animations, and video images. For Burnett (like Andrew Darley, 2000 and Richard Doyle, 2003) the interactivity of the new media games suggests a greater degree of engagement with imageworlds. Today many facets of looking, listening, and gazing can be turned into aesthetic forms with the new media. Digital technology literally reanimates the world, as Burnett demonstrates in bis concluding chapter. Burnett concludes that images no longer simply represent the world-they shape our very interaction with it; they become the foundation for our understanding the spaces, places, and historical moments that we inhabit. Burnett concludes his book with the suggestion that intelligence is now a distributed phenomenon (here closely paralleling Katherine Hayles' argument that subjectivity is dispersed through the cybernetic circuit, 1999). There is no one center of information or knowledge. Intersections of human creativity, work, and connectivity "spread" (Burnett's term) "intelligence through the use of mediated devices and images, as well as sounds" (p. 221).

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Abstract

This article describes the latest development of a generic approach to detecting and visualizing emerging trends and transient patterns in scientific literature. The work makes substantial theoretical and methodological contributions to progressive knowledge domain visualization. A specialty is conceptualized and visualized as a time-variant duality between two fundamental concepts in information science: research fronts and intellectual bases. A research front is defined as an emergent and transient grouping of concepts and underlying research issues. The intellectual base of a research front is its citation and co-citation footprint in scientific literature - an evolving network of scientific publications cited by research-front concepts. Kleinberg's (2002) burst-detection algorithm is adapted to identify emergent research-front concepts. Freeman's (1979) betweenness centrality metric is used to highlight potential pivotal points of paradigm shift over time. Two complementary visualization views are designed and implemented: cluster views and time-zone views. The contributions of the approach are that (a) the nature of an intellectual base is algorithmically and temporally identified by emergent research-front terms, (b) the value of a co-citation cluster is explicitly interpreted in terms of research-front concepts, and (c) visually prominent and algorithmically detected pivotal points substantially reduce the complexity of a visualized network. The modeling and visualization process is implemented in CiteSpace II, a Java application, and applied to the analysis of two research fields: mass extinction (1981-2004) and terrorism (1990-2003). Prominent trends and pivotal points in visualized networks were verified in collaboration with domain experts, who are the authors of pivotal-point articles. Practical implications of the work are discussed. A number of challenges and opportunities for future studies are identified.

Date

22. 7.2006 16:11:05

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Abstract

Studies on the state and structure of digital knowledge concerning science generally relate to macro and meso scales. Supported by visualizations, these studies can deliver knowledge about emerging scientific fields or collaboration between countries, scientific centers, or groups of researchers. Analyses of individual activities or single scientific career paths are rarely presented and discussed. The authors decided to fill this gap and developed a web application for visualizing the scientific output of particular researchers. This free software based on bibliographic data from local databases, provides six layouts for analysis. Researchers can see the dynamic characteristics of their own writing activity, the time and place of publication, and the thematic scope of research problems. They can also identify cooperation networks, and consequently, study the dependencies and regularities in their own scientific activity. The current article presents the results of a study of the application's usability and functionality as well as attempts to define different user groups. A survey about the interface was sent to select researchers employed at Nicolaus Copernicus University. The results were used to answer the question as to whether such a specialized visualization tool can significantly augment the individual information space of the contemporary researcher.

Date

21.12.2018 17:22:13

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Abstract

The authors of this paper investigate terms of consumers' diabetes based on a log from the Yahoo!Answers social question and answers (Q&A) forum, ascertain characteristics and relationships among terms related to diabetes from the consumers' perspective, and reveal users' diabetes information seeking patterns. In this study, the log analysis method, data coding method, and visualization multiple-dimensional scaling analysis method were used for analysis. The visual analyses were conducted at two levels: terms analysis within a category and category analysis among the categories in the schema. The findings show that the average number of words per question was 128.63, the average number of sentences per question was 8.23, the average number of words per response was 254.83, and the average number of sentences per response was 16.01. There were 12 categories (Cause & Pathophysiology, Sign & Symptom, Diagnosis & Test, Organ & Body Part, Complication & Related Disease, Medication, Treatment, Education & Info Resource, Affect, Social & Culture, Lifestyle, and Nutrient) in the diabetes related schema which emerged from the data coding analysis. The analyses at the two levels show that terms and categories were clustered and patterns were revealed. Future research directions are also included.

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Abstract

Visualization of scientific results using networks has become popular in scientometric research. We provide base maps for Mendeley reader count data using the publication year 2012 from the Web of Science data. Example networks are shown and explained. The reader can use our base maps to visualize other results with the VOSViewer. The proposed overlay maps are able to show the impact of publications in terms of readership data. The advantage of using our base maps is that it is not necessary for the user to produce a network based on all data (e.g., from 1 year), but can collect the Mendeley data for a single institution (or journals, topics) and can match them with our already produced information. Generation of such large-scale networks is still a demanding task despite the available computer power and digital data availability. Therefore, it is very useful to have base maps and create the network with the overlay technique.

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Source

Social Semantic Web: Web 2.0, was nun? Hrsg.: A. Blumauer u. T. Pellegrini

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Abstract

This study proposes a new methodology that allows for the generation of scientograms of major scientific domains, constructed on the basis of cocitation of Institute of Scientific Information categories, and pruned using PathfinderNetwork, with a layout determined by algorithms of the spring-embedder type (Kamada-Kawai), then corroborated structurally by factor analysis. We present the complete scientogram of the world for the Year 2002. It integrates the natural sciences, the social sciences, and arts and humanities. Its basic structure and the essential relationships therein are revealed, allowing us to simultaneously analyze the macrostructure, microstructure, and marrow of worldwide scientific output.

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Abstract

An event is a specific occurrence involving participants, which is a typed, n-ary association of entities or other events, each identified as a participant in a specific semantic role in the event (Pyysalo et al. 2012; Linguistic Data Consortium 2005). Event types may vary across domains. Representing relationships between events can facilitate the understanding of knowledge in complex systems (such as economic systems, human body, social systems). In the simplest form, an event can be represented as Entity A <Relation> Entity B. This paper evaluates several knowledge organization and visualization models and tools, such as concept maps (Cmap), topic maps (Ontopia), network analysis models (Gephi), and ontology (Protégé), then proposes an event relationship model that aims to integrate the strengths of these models, and can represent complex knowledge expressed in events and their relationships.

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Abstract

Icon system could represent an efficient solution for collective iconic categorization of knowledge by providing graphical interpretation. Their pictorial characters assist visualizing the structure of text to become more understandable beyond vocabulary obstacle. In this paper we are proposing a Knowledge Engineering (KM) based iconic representation approach. We assume that these systematic icons improve collective knowledge management. Meanwhile, text (constructed under our knowledge management model - Hypertopic) helps to reduce the diversity of graphical understanding belonging to different users. This "position paper" also prepares to demonstrate our hypothesis by an "iconic social tagging" experiment which is to be accomplished in 2011 with UTT students. We describe the "socio semantic web" information portal involved in this project, and a part of the icons already designed for this experiment in Sustainability field. We have reviewed existing theoretical works on icons from various origins, which can be used to lay the foundation of robust "icons systems".

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Abstract

This research takes the academic articles in the Web of Science's core collection database as a corpus to draw a series of knowledge maps, to explore the relationships, connectivity, dis-tribution, and evolution among their keywords with respect to smart cities in the last decade. Beyond just drawing a text cloud or measuring their sizes, we further explore their texture by iden-tifying the hottest keywords in academic articles, construct links between and among them that share common keywords, identify islands, rocks, reefs that are formed by connected articles-a metaphor inspired by Ong et al. (2005)-and analyze trends in their evolution. We found the following phenomena: 1) "Internet of Things" is the most frequently mentioned keyword in recent research articles; 2) the numbers of islands and reefs are increas-ing; 3) the evolutions of the numbers of weighted links have frac-tal-like structure; and, 4) the coverage of the largest rock, formed by articles that share a common keyword, in the largest island is converging into around 10% to 20%. These phenomena imply that a common interest in the technology of smart cities has been emerging among researchers. However, the administrative, social, economic, and cultural issues need more attention in academia in the future.

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Abstract

Science maps are visual representations of the structure and dynamics of scholarly knowl­edge. They aim to show how fields, disciplines, journals, scientists, publications, and scientific terms relate to each other. Science mapping is the body of methods and techniques that have been developed for generating science maps. This entry is an introduction to science maps and science mapping. It focuses on the conceptual, theoretical, and methodological issues of science mapping, rather than on the mathematical formulation of science mapping techniques. After a brief history of science mapping, we describe the general procedure for building a science map, presenting the data sources and the methods to select, clean, and pre-process the data. Next, we examine in detail how the most common types of science maps, namely the citation-based and the term-based, are generated. Both are based on networks: the former on the network of publications connected by citations, the latter on the network of terms co-occurring in publications. We review the rationale behind these mapping approaches, as well as the techniques and methods to build the maps (from the extraction of the network to the visualization and enrichment of the map). We also present less-common types of science maps, including co-authorship networks, interlocking editorship networks, maps based on patents' data, and geographic maps of science. Moreover, we consider how time can be represented in science maps to investigate the dynamics of science. We also discuss some epistemological and sociological topics that can help in the interpretation, contextualization, and assessment of science maps. Then, we present some possible applications of science maps in science policy. In the conclusion, we point out why science mapping may be interesting for all the branches of meta-science, from knowl­edge organization to epistemology.

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Abstract

In this article, we propose a graph-based interactive bibliographic information retrieval system-GIBIR. GIBIR provides an effective way to retrieve bibliographic information. The system represents bibliographic information as networks and provides a form-based query interface. Users can develop their queries interactively by referencing the system-generated graph queries. Complex queries such as "papers on information retrieval, which were cited by John's papers that had been presented in SIGIR" can be effectively answered by the system. We evaluate the proposed system by developing another relational database-based bibliographic information retrieval system with the same interface and functions. Experiment results show that the proposed system executes the same queries much faster than the relational database-based system, and on average, our system reduced the execution time by 72% (for 3-node query), 89% (for 4-node query), and 99% (for 5-node query).

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Abstract

Purpose - The purpose of this paper is to evaluate the functionality of the particular epistemological schools with regard to the issues of users with visual impairment, to offer a theoretical answer to the question why these issues are not in the center of the interest of information science, and to try to find an epistemological approach that has ambitions to create the theoretical basis for the analysis of the relationship between information and visually impaired users. Design/methodology/approach - The methodological basis of the paper is determined by the selection of the epistemological approach. In order to think about the concept of information and to put it in relation to issues associated with users with visual impairment, a conceptual analysis is applied. Findings - Most of information science theories are based on empiricism and rationalism; this is the reason for their low interest in the questions of visually impaired users. Users with visual disabilities are out of the interest of rationalistic epistemology because it underestimates sensory perception; empiricism is not interested in them paradoxically because it overestimates sensory perception. Realism which fairly reflects such issues is an approach which allows the providing of information to persons with visual disabilities to be dealt with properly. Research limitations/implications - The paper has a speculative character. Its findings should be supported by empirical research in the future. Practical implications - Theoretical questions solved in the paper come from the practice of providing information to visually impaired users. Because practice has an influence on theory and vice versa, the author hopes that the findings included in the paper can serve to improve practice in the field. Social implications - The paper provides theoretical anchoring of the issues which are related to the inclusion of people with disabilities into society and its findings have a potential to support such efforts. Originality/value - This is first study linking questions of users with visual disabilities to highly abstract issues connected to the concept of information.

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Abstract

Many real-world domains can be represented as large node-link graphs: backbone Internet routers connect with 70,000 other hosts, mid-sized Web servers handle between 20,000 and 200,000 hyperlinked documents, and dictionaries contain millions of words defined in terms of each other. Computational manipulation of such large graphs is common, but previous tools for graph visualization have been limited to datasets of a few thousand nodes. Visual depictions of graphs and networks are external representations that exploit human visual processing to reduce the cognitive load of many tasks that require understanding of global or local structure. We assert that the two key advantages of computer-based systems for information visualization over traditional paper-based visual exposition are interactivity and scalability. We also argue that designing visualization software by taking the characteristics of a target user's task domain into account leads to systems that are more effective and scale to larger datasets than previous work. This thesis contains a detailed analysis of three specialized systems for the interactive exploration of large graphs, relating the intended tasks to the spatial layout and visual encoding choices. We present two novel algorithms for specialized layout and drawing that use quite different visual metaphors. The H3 system for visualizing the hyperlink structures of web sites scales to datasets of over 100,000 nodes by using a carefully chosen spanning tree as the layout backbone, 3D hyperbolic geometry for a Focus+Context view, and provides a fluid interactive experience through guaranteed frame rate drawing. The Constellation system features a highly specialized 2D layout intended to spatially encode domain-specific information for computational linguists checking the plausibility of a large semantic network created from dictionaries. The Planet Multicast system for displaying the tunnel topology of the Internet's multicast backbone provides a literal 3D geographic layout of arcs on a globe to help MBone maintainers find misconfigured long-distance tunnels. Each of these three systems provides a very different view of the graph structure, and we evaluate their efficacy for the intended task. We generalize these findings in our analysis of the importance of interactivity and specialization for graph visualization systems that are effective and scalable.