Search (15729 results, page 2 of 787)

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Source

Library and information science research. 22(2000) no.4, S.371-382

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Abstract

This study proposes an approach for visualizing knowledge structures that creates a "research-focused parallelship network," "keyword co-occurrence network," and a knowledge map to visualize Sci-Tech policy research structure. A total of 1,125 Sci-Tech policy-related papers (873 journal papers [78%], 205 conference papers [18%], and 47 review papers [4%]) have been retrieved from the Web of Science database for quantitative analysis and mapping. Different network and contour maps based on these 1,125 papers can be constructed by choosing different information as the main actor, such as the paper title, the institute, the country, or the author keywords, to reflect Sci-Tech policy research structures in micro-, meso-, and macro-levels, respectively. The quantitative way of exploring Sci-Tech policy research papers is investigated to unveil important or emerging Sci-Tech policy implications as well as to demonstrate the dynamics and visualization of the evolution of Sci-Tech policy research.

Source

Journal of the American Society for Information Science and Technology. 63(2012) no.2, S.242-255

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Abstract

Charts the history and development of the UK's Resource Discovery Network, which brings together under a common business, technical and service framework a range of subject gateways and other services for the academic and research community. Considers its future relationship to other services, and position within the information ecology

Date

22. 6.2002 19:36:13

Object

Resource Discovery Network

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Abstract

Information technology (IT) outsourcing has become a widely accepted management strategy. As a consequence, a great deal of research on the IT outsourcing domain, covering a wide range of issues, has been conducted. This study investigates the IT outsourcing knowledge infrastructure from a network point of view. Triple helix indicators and social network analysis techniques are employed on 288 scholarly papers obtained from the Web of Science database using keywords related to IT outsourcing. The results reveal the key players in IT outsourcing research collaborations; their network characteristics, such as degree centrality; and the relationship of academia, industry, and government in terms of IT outsourcing knowledge production. This article also provides results-based implications.

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2366-2378

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Abstract

Collaborator recommendation is of great significance for facilitating research collaboration. Proximities have been demonstrated to be significant factors and determinants of research collaboration. Research leadership is associated with not only the capability to integrate resources to launch and sustain the research project but also the production and academic impact of the collaboration team. However, existing studies mainly focus on social or cognitive proximity, failing to integrate critical proximities comprehensively. Besides, existing studies focus on recommending relationships among all the coauthors, ignoring leadership in research collaboration. In this article, we propose a proximity-aware research leadership recommendation (PRLR) model to systematically integrate critical node attribute information (critical proximities) and network features to conduct research leadership recommendation by predicting the directed links in the research leadership network. PRLR integrates cognitive, geographical, and institutional proximity as node attribute information and constructs a leadership-aware coauthorship network to preserve the research leadership information. PRLR learns the node attribute information, the local network features, and the global network features with an autoencoder model, a joint probability constraint, and an attribute-aware skip-gram model, respectively. Extensive experiments and ablation studies have been conducted, demonstrating that PRLR significantly outperforms the state-of-the-art collaborator recommendation models in research leadership recommendation.

Source

Journal of the Association for Information Science and Technology. 73(2022) no.1, S.70-89

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Abstract

Peer-to-peer (P2P) applications are rapidly gaining acceptance among users of Internet-based services, especially because of their capability of exchanging resources while preserving the anonymity of both requesters and providers. However, concerns have been raised about the possibility that malicious users can exploit the network to spread tampered-with resources (e.g., malicious programs and viruses). A considerable amount of research has thus focused on the development of trust and reputation models in P2P networks. In this article, we propose to use fuzzy techniques in the design of reputation systems based on collecting and aggregating peers' opinions. Fuzzy techniques are used in the evaluation and synthesis of all the opinions expressed by peers. The behavior of the proposed system is described by comparison with probabilistic approaches.

Date

22. 7.2006 17:06:18

Source

Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.528-537

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Abstract

Result of a conference held in Dallas, TX, Oct.1990. The 16 papers deal with very different areas of neural network research, such as, e.g. computer science, cognitive science, linguistics, logic, neurobiology and psychology

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Abstract

We perform session analysis for our domain of people search within a professional social network. We find that the content-based method is appropriate to serve as a basis for the session identification in our domain. However, there remain some problems reported in previous research which degrade the identification performance (such as accuracy) of the content-based method. Therefore, in this article, we propose two important refinements to address these problems. We describe the underlying rationale of our refinements and then empirically show that the content-based method equipped with our refinements is able to achieve an excellent identification performance in our domain (such as 99.820% accuracy and 99.707% F-measure in our experiments). Next, because the time-based method has extremely low computation costs, which makes it suitable for many real-world applications, we investigate the feasibility of the time-based method in our domain by evaluating its identification performance based on our refined content-based method. Our experiments demonstrate that the performance of the time-based method is potentially acceptable to many real applications in our domain. Finally, we analyze several features of the identified sessions in our domain and compare them with the corresponding ones in general web search. The results illustrate the profession-oriented characteristics of our domain.

Date

19. 4.2013 20:31:22

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.929-950

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Abstract

We propose a minimum span clustering (MSC) method for clustering and visualizing complex networks using the interrelationship of network components. To demonstrate this method, it is applied to classify the social science network in terms of aggregated journal-journal citation relations of the Institute of Scientific Information (ISI) Journal Citation Reports. This method of network classification is shown to be efficient, with a processing time that is linear to network size. The classification results provide an in-depth view of the network structure at various scales of resolution. For the social science network, there are 4 resolution scales, including 294 batches of journals at the highest scale, 65 categories of journals at the second, 15 research groups at the third scale, and 3 knowledge domains at the lowest resolution. By comparing the relatedness of journals within clusters, we show that our clustering method gives a better classification of social science journals than ISI's heuristic approach and hierarchical clustering. In combination with the minimum spanning tree approach and multi-dimensional scaling, MSC is also used to investigate the general structure of the network and construct a map of the social science network for visualization.

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.12, S.2404-2413

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Abstract

Knowledge engineering and information mapping are two recent scientific disciplines in constant development where mathematics, linguistics, computer science, and information visualization converge. Their main focus is to discover and display new knowledge in large document databases. They have broad and innovative fields of application for strategic scouting in science and technology, knowledge management, business intelligence, and scientific and technological evaluation. This article presents a new method for mapping the strategic research network and illustrates its application to the strategic analysis of the knowledge domain "Spanish Research in Protected Areas for the Period 1981-2005." This strategic knowledge is displayed through a set of two-dimensional cartographic maps and three-dimensional images of two networks: the international network WoS_KWAJ (1981-2005) and the national network IEDCYT_KWAJ (1981-2005). These maps can be very useful in decision-making processes for science and technology policy.

Source

Journal of the American Society for Information Science and Technology. 63(2012) no.4, S.796-804

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Abstract

Online communities are becoming an important tool in the communication and participation processes in our society. However, the most widespread applications are difficult to use for people with disabilities, or may involve some risks if no previous training has been undertaken. This work describes a novel social network for cognitively disabled people along with a clustering-based method for modeling activity and socialization processes of its users in a noninvasive way. This closed social network is specifically designed for people with cognitive disabilities, called Guremintza, that provides the network administrators (e.g., social workers) with two types of reports: summary statistics of the network usage and behavior patterns discovered by a data mining process. Experiments made in an initial stage of the network show that the discovered patterns are meaningful to the social workers and they find them useful in monitoring the progress of the users.

Date

22. 1.2016 12:02:26

Source

Journal of the Association for Information Science and Technology. 67(2016) no.2, S.305-317

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Date

1. 4.2002 12:04:22

Imprint

Ahmedabad : Information and Library Network Centre (INFLIBNET)

Source

CALIBER 99: Academic libraries in the Internet: Proceedings of the 6th National Convention for Automation of Libraries in Education and Research, Nagpur, India, 18.-20.2.1999. Ed. by P.S.G. Kumar and C.P. Vahishth

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Abstract

The past 2 decades have witnessed the emergence of information as a scientific discipline and the growth of information schools around the world. We analyzed the current state of the iSchool community in the U.S. with a special focus on the evolution of the community. We conducted our study from the perspectives of acquiring talents and producing research, including the analysis on iSchool faculty members' educational backgrounds, research topics, and the hiring network among iSchools. Applying text mining techniques and social network analysis to data from various sources, our research revealed how the iSchool community gradually built its own identity over time, including the growing number of faculty members who received their doctorates from the field that studies information, the deviation from computer science and library science, the rising emphasis on the intersection of information, technology, and people, and the increasing educational and research homogeneity as a community. These findings suggest that iSchools in the U.S. are evolving into a mature and independent discipline with a more established identity.

Source

Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1266-1277

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Abstract

Overviews UK library and information science resources currently accessible on the Internet. Covers: library catalogues, library information servers, departments of library and information science, library related organizations, research centres and projects, e-mail lists and general resource directories

Date

11. 2.1999 22:09:53

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Abstract

This article has three goals. It begins by reviewing the current state of the Internet as a data transport system and some of its emerging problems. Then it discusses 2 major research initiatives - Internet 2 and the Next Generation Internet (NGI) program - and some of the new network-level services that may first see substantial deployment in these new research testbeds. The article concludes with a few speculations about future changes to the Internet as a data transport system

Source

Journal of the American Society for Information Science. 49(1998) no.11, S.961-972

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Series

Communications in computer and information science; 672

Source

Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

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Abstract

The number of research studies on social tagging has increased rapidly in the past years, but few of them highlight the characteristics and research trends in social tagging. A set of 862 academic documents relating to social tagging and published from 2005 to 2011 was thus examined using bibliometric analysis as well as the social network analysis technique. The results show that social tagging, as a research area, develops rapidly and attracts an increasing number of new entrants. There are no key authors, publication sources, or research groups that dominate the research domain of social tagging. Research on social tagging appears to focus mainly on the following three aspects: (a) components and functions of social tagging (e.g., tags, tagging objects, and tagging network), (b) taggers' behaviors and interface design, and (c) tags' organization and usage in social tagging. The trend suggest that more researchers turn to the latter two integrated with human computer interface and information retrieval, although the first aspect is the fundamental one in social tagging. Also, more studies relating to social tagging pay attention to multimedia tagging objects and not only text tagging. Previous research on social tagging was limited to a few subject domains such as information science and computer science. As an interdisciplinary research area, social tagging is anticipated to attract more researchers from different disciplines. More practical applications, especially in high-tech companies, is an encouraging research trend in social tagging.

Source

Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.2045-2057

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Abstract

Describes a pilot low cost current awareness service, developed at the Science and Engineering Library, Minnesota Univ., for providing weekly literature search updates to faculty. The Current Awareness Service (CAS) employs micrcomputer databases, a high speed compus network, mainframe computing, and electronic mail to deliver references retrieved from databases via user profiles

Source

College and research libraries. 54(1993) no.2, S.115-123

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Abstract

Teenagers are among the most prolific users of social network sites (SNS). Emerging studies find that youth spend a considerable portion of their daily life interacting through social media. Subsequently, questions and controversies emerge about the effects SNS have on adolescent development. This review outlines the theoretical frameworks researchers have used to understand adolescents and SNS. It brings together work from disparate fields that examine the relationship between SNS and social capital, privacy, youth safety, psychological well-being, and educational achievement. These research strands speak to high-profile concerns and controversies that surround youth participation in these online communities, and offer ripe areas for future research.

Series

Advances in information science

Source

Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1435-1445

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Date

5. 8.2006 13:22:44

Source

Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u, L. Kajberg