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  1. Shibata, N.; Kajikawa, Y.; Takeda, Y.; Matsushima, K.: Comparative study on methods of detecting research fronts using different types of citation (2009) 0.17 
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    Abstract
    In this article, we performed a comparative study to investigate the performance of methods for detecting emerging research fronts. Three types of citation network, co-citation, bibliographic coupling, and direct citation, were tested in three research domains, gallium nitride (GaN), complex network (CNW), and carbon nanotube (CNT). Three types of citation network were constructed for each research domain, and the papers in those domains were divided into clusters to detect the research front. We evaluated the performance of each type of citation network in detecting a research front by using the following measures of papers in the cluster: visibility, measured by normalized cluster size, speed, measured by average publication year, and topological relevance, measured by density. Direct citation, which could detect large and young emerging clusters earlier, shows the best performance in detecting a research front, and co-citation shows the worst. Additionally, in direct citation networks, the clustering coefficient was the largest, which suggests that the content similarity of papers connected by direct citations is the greatest and that direct citation networks have the least risk of missing emerging research domains because core papers are included in the largest component.
    Date
    22. 3.2009 17:52:50
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.571-580
  2. Chen, C.: CiteSpace II : detecting and visualizing emerging trends and transient patterns in scientific literature (2006) 0.16 
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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
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.3, S.359-377
  3. Hu, D.; Kaza, S.; Chen, H.: Identifying significant facilitators of dark network evolution (2009) 0.15 
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    Abstract
    Social networks evolve over time with the addition and removal of nodes and links to survive and thrive in their environments. Previous studies have shown that the link-formation process in such networks is influenced by a set of facilitators. However, there have been few empirical evaluations to determine the important facilitators. In a research partnership with law enforcement agencies, we used dynamic social-network analysis methods to examine several plausible facilitators of co-offending relationships in a large-scale narcotics network consisting of individuals and vehicles. Multivariate Cox regression and a two-proportion z-test on cyclic and focal closures of the network showed that mutual acquaintance and vehicle affiliations were significant facilitators for the network under study. We also found that homophily with respect to age, race, and gender were not good predictors of future link formation in these networks. Moreover, we examined the social causes and policy implications for the significance and insignificance of various facilitators including common jails on future co-offending. These findings provide important insights into the link-formation processes and the resilience of social networks. In addition, they can be used to aid in the prediction of future links. The methods described can also help in understanding the driving forces behind the formation and evolution of social networks facilitated by mobile and Web technologies.
    Date
    22. 3.2009 18:50:30
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.655-665
  4. Morris, S.A.: Mapping research specialties (2008) 0.14 
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    Date
    13. 7.2008 9:30:22
    Source
    Annual review of information science and technology. 42(2008), S.xxx-xxx
  5. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.14 
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    Abstract
    In this research, we aim to identify factors that significantly affect the clickthrough of Web searchers. Our underlying goal is determine more efficient methods to optimize the clickthrough rate. We devise a clickthrough metric for measuring customer satisfaction of search engine results using the number of links visited, number of queries a user submits, and rank of clicked links. We use a neural network to detect the significant influence of searching characteristics on future user clickthrough. Our results show that high occurrences of query reformulation, lengthy searching duration, longer query length, and the higher ranking of prior clicked links correlate positively with future clickthrough. We provide recommendations for leveraging these findings for improving the performance of search engine retrieval and result ranking, along with implications for search engine marketing.
    Date
    22. 3.2009 17:49:11
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.557-570
  6. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.12 
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    Source
    Library and information science research. 22(2000) no.4, S.371-382
  7. Dempsey, L.: ¬The subject gateway : experiences and issues based on the emergence of the Resource Discovery Network (2000) 0.12 
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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
  8. Aringhieri, R.; Damiani, E.; De Capitani di Vimercati, S.; Paraboschi, S.; Samarati, P.: Fuzzy techniques for trust and reputation management in anonymous peer-to-peer systems (2006) 0.12 
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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
  9. Koopmans, N.I.: What's your question? : The need for research information from the perspective of different user groups (2002) 0.10 
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    Abstract
    In this paper results of a field study into the need for research information of different user groups are presented: scientists, policy makers and policy researchers, industry and media. Main questions of semi-structured interviews were: what kind of research information users need, what kind of research information resources are used and which information resources are missing at the moment. User groups are missing for a diversity of reasons the overview of research, experts and institutes in the different scientific fields. Especially for the accessibility and transparency of the scientific world these overviews are reported to be needed. Neither Google nor any of the research institutes or policy research organisations are able to present surveys for different science fields at the moment. Giving users the possibility to search, browse and navigate through accessible and more specialised layers of research information might give answers to different user groups simultaneously.
    Date
    2. 7.2005 12:22:50
    Source
    Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
  10. Wackerow, J.: ¬The Data Documentation Initiative (DDI) (2008) 0.09 
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    Abstract
    The Data Documentation Initiative (DDI) is an international effort to establish an XML-based standard for the compilation, presentation, and exchange of documentation for datasets in the social and behavioral sciences. The most recent version 3.0 of the DDI supports a rich and structured set of metadata elements that not only fully informs a potential data analyst about a given dataset but also facilitates computer processing of the data. Moreover, data producers will find that by adopting the DDI standard they can produce better and more complete documentation as a natural step in designing and fielding computer-assisted interviewing. DDI 3.0 embraces the full life cycle of the data from conception, through development of the data collection instrument, collection and cleaning of data, production of data products, distribution, preservation, and reuse or analysis of the data. DDI 3.0 is designed to facilitate sharing schemes for concepts, questions, coding, and variables within organizations or throughout the social science research community. Comparison through direct inheritance as in the case of comparisonby- design or through the mapping of items like variables or categories allow capture of the harmonization processes used in creating integrated files in an uniform and machine-actionable way. DDI 3.0 is providing the structural support needed to facilitate comparative survey work in a way that was previously unavailable in an open, non-proprietary system. A specific DDI module allows for the capture and expression of native Dublin Core elements (DCMES), used either as references or as descriptions of a particular set of metadata. This module uses the simple Dublin Core namespace represented as XML Schema following the guidelines for implementing Dublin Core in XML. In DDI, the Dublin Core is not used as the primary citation mechanism - this module is included to support applications which understand the Dublin Core XML, but which do not understand DDI. This module is used wherever citations are permitted within DDI 3.0 (like citations of a study description or of other material). DDI 3.0 is aligned with other metadata standards as well: with SDMX (time-series data) for exchanging aggregate data, with ISO/IEC 11179 (metadata registry) for building data registries such as question, variable, and concept banks, and with FGDC and ISO 19115 (geographic standards) for supporting GIS users. DDI 3.0 is described in a conceptual model which is also expressed in the Universal Modeling Language (UML). Modular XML Schemas are derived from the conceptual model. Many elements support computer processing - that is, it will go beyond being "human readable", and move toward the goal of being "machine-actionable". The final release of DDI 3.0 has been published on April 28th 2008. The standard was developed by the DDI Alliance, an international group encompassing data archives and research institutions from several countries in Western Europe and North America. Earlier versions of DDI provide examples of institutions and applications: the Inter-university Consortium for Political and Social Research (ICPSR) Data Catalog, the Council of European Social Science Data Services (CESSDA) Data Portal, the Dataverse Network, the International Household Survey Network (IHSN), NESSTAR Software for publishing data on the Web and online analysis, and the Microdata Management Toolkit (by the World Bank Data Group for IHSN).
    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
  11. Aris, A.; Shneiderman, B.; Qazvinian, V.; Radev, D.: Visual overviews for discovering key papers and influences across research fronts (2009) 0.09 
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    Abstract
    Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts, is an increasingly common task due to the growing amount of interdisciplinary collaboration. Visual overviews that show temporal patterns of paper publication and citation links among papers can help researchers and analysts to see the rate of growth of topics, identify key papers, and understand influences across subdisciplines. This article applies a novel network-visualization tool based on meaningful layouts of nodes to present research fronts and show citation links that indicate influences across research fronts. To demonstrate the value of two-dimensional layouts with multiple regions and user control of link visibility, we conducted a design-oriented, preliminary case study with 6 domain experts over a 4-month period. The main benefits were being able (a) to easily identify key papers and see the increasing number of papers within a research front, and (b) to quickly see the strength and direction of influence across related research fronts.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2219-2228
  12. MacMullen, W.J.; Denn, S.O.: Information problems in molecular biology and bioinformatics (2005) 0.09 
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    Abstract
    In this article we provide an overview of opportunities for research and practice in the domain of molecular biology by information and library scientists. We introduce the changing role of data and information in molecular biology, and how molecular biology is evolving from a technique- and technology-driven science to an information-driven science. We then describe the high-level objectives of molecular biology and some broad classes of problems from an information perspective. We illustrate the high-level objectives with examples of specific tasks performed by biologists. Finally, we provide some programmatic direction for information and library science research streams and insertion points.
    Date
    22. 7.2006 14:24:36
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.5, S.447-456
  13. Nahl, D.: User-centered revolution: 1995-2008 (2009) 0.09 
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    Abstract
    This entry reviews a sample of current research on information behavior (IB), examines recent research on online IB and use of electronic resources offered in libraries, describes the state of user-centered design, provides evidence of a commitment to the user-centered paradigm in library and information science research and education, and presents the response to the unprecedented rise of online participatory culture.
    Date
    27. 8.2011 14:32:22
  14. Yang, C.C.; Luk, J.: Automatic generation of English/Chinese thesaurus based on a parallel corpus in laws (2003) 0.09 
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    Abstract
    The information available in languages other than English in the World Wide Web is increasing significantly. According to a report from Computer Economics in 1999, 54% of Internet users are English speakers ("English Will Dominate Web for Only Three More Years," Computer Economics, July 9, 1999, http://www.computereconomics. com/new4/pr/pr990610.html). However, it is predicted that there will be only 60% increase in Internet users among English speakers verses a 150% growth among nonEnglish speakers for the next five years. By 2005, 57% of Internet users will be non-English speakers. A report by CNN.com in 2000 showed that the number of Internet users in China had been increased from 8.9 million to 16.9 million from January to June in 2000 ("Report: China Internet users double to 17 million," CNN.com, July, 2000, http://cnn.org/2000/TECH/computing/07/27/ china.internet.reut/index.html). According to Nielsen/ NetRatings, there was a dramatic leap from 22.5 millions to 56.6 millions Internet users from 2001 to 2002. China had become the second largest global at-home Internet population in 2002 (US's Internet population was 166 millions) (Robyn Greenspan, "China Pulls Ahead of Japan," Internet.com, April 22, 2002, http://cyberatias.internet.com/big-picture/geographics/article/0,,5911_1013841,00. html). All of the evidences reveal the importance of crosslingual research to satisfy the needs in the near future. Digital library research has been focusing in structural and semantic interoperability in the past. Searching and retrieving objects across variations in protocols, formats and disciplines are widely explored (Schatz, B., & Chen, H. (1999). Digital libraries: technological advances and social impacts. IEEE Computer, Special Issue an Digital Libraries, February, 32(2), 45-50.; Chen, H., Yen, J., & Yang, C.C. (1999). International activities: development of Asian digital libraries. IEEE Computer, Special Issue an Digital Libraries, 32(2), 48-49.). However, research in crossing language boundaries, especially across European languages and Oriental languages, is still in the initial stage. In this proposal, we put our focus an cross-lingual semantic interoperability by developing automatic generation of a cross-lingual thesaurus based an English/Chinese parallel corpus. When the searchers encounter retrieval problems, Professional librarians usually consult the thesaurus to identify other relevant vocabularies. In the problem of searching across language boundaries, a cross-lingual thesaurus, which is generated by co-occurrence analysis and Hopfield network, can be used to generate additional semantically relevant terms that cannot be obtained from dictionary. In particular, the automatically generated cross-lingual thesaurus is able to capture the unknown words that do not exist in a dictionary, such as names of persons, organizations, and events. Due to Hong Kong's unique history background, both English and Chinese are used as official languages in all legal documents. Therefore, English/Chinese cross-lingual information retrieval is critical for applications in courts and the government. In this paper, we develop an automatic thesaurus by the Hopfield network based an a parallel corpus collected from the Web site of the Department of Justice of the Hong Kong Special Administrative Region (HKSAR) Government. Experiments are conducted to measure the precision and recall of the automatic generated English/Chinese thesaurus. The result Shows that such thesaurus is a promising tool to retrieve relevant terms, especially in the language that is not the same as the input term. The direct translation of the input term can also be retrieved in most of the cases.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.7, S.671-682
  15. Campos, L.M. de; Fernández-Luna, J.M.; Huete, J.F.: Implementing relevance feedback in the Bayesian network retrieval model (2003) 0.09 
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    Abstract
    Relevance Feedback consists in automatically formulating a new query according to the relevance judgments provided by the user after evaluating a set of retrieved documents. In this article, we introduce several relevance feedback methods for the Bayesian Network Retrieval ModeL The theoretical frame an which our methods are based uses the concept of partial evidences, which summarize the new pieces of information gathered after evaluating the results obtained by the original query. These partial evidences are inserted into the underlying Bayesian network and a new inference process (probabilities propagation) is run to compute the posterior relevance probabilities of the documents in the collection given the new query. The quality of the proposed methods is tested using a preliminary experimentation with different standard document collections.
    Date
    22. 3.2003 19:30:19
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.302-313
  16. Thelwall, M.; Wilkinson, D.; Uppal, S.: Data mining emotion in social network communication : gender differences in MySpace (2009) 0.09 
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    Abstract
    Despite the rapid growth in social network sites and in data mining for emotion (sentiment analysis), little research has tied the two together, and none has had social science goals. This article examines the extent to which emotion is present in MySpace comments, using a combination of data mining and content analysis, and exploring age and gender. A random sample of 819 public comments to or from U.S. users was manually classified for strength of positive and negative emotion. Two thirds of the comments expressed positive emotion, but a minority (20%) contained negative emotion, confirming that MySpace is an extraordinarily emotion-rich environment. Females are likely to give and receive more positive comments than are males, but there is no difference for negative comments. It is thus possible that females are more successful social network site users partly because of their greater ability to textually harness positive affect.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.190-199
  17. Börner, K.; Sanyal, S.; Vespignani, A.: Network science (2007) 0.09 
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    Source
    Annual review of information science and technology. 41(2007), S.xxx-xxx
  18. Raan, A.F.J. van: Scaling rules in the science system : influence of field-specific citation characteristics on the impact of research groups (2008) 0.09 
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    Abstract
    A representation of science as a citation density landscape is proposed and scaling rules with the field-specific citation density as a main topological property are investigated. The focus is on the size-dependence of several main bibliometric indicators for a large set of research groups while distinguishing between top-performance and lower-performance groups. It is demonstrated that this representation of the science system is particularly effective to understand the role and the interdependencies of the different bibliometric indicators and related topological properties of the landscape.
    Date
    22. 3.2009 19:03:12
    Footnote
    Vgl. auch: Costas, R., M. Bordons u. T.N. van Leeuwen u.a.: Scaling rules in the science system: Influence of field-specific citation characteristics on the impact of individual researchers. In: Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.740-753.
    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.4, S.565-576
  19. White, M.D.; Marsh, E.E.: Content analysis : a flexible methodology (2006) 0.09 
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    Abstract
    Content analysis is a highly flexible research method that has been widely used in library and information science (LIS) studies with varying research goals and objectives. The research method is applied in qualitative, quantitative, and sometimes mixed modes of research frameworks and employs a wide range of analytical techniques to generate findings and put them into context. This article characterizes content analysis as a systematic, rigorous approach to analyzing documents obtained or generated in the course of research. It briefly describes the steps involved in content analysis, differentiates between quantitative and qualitative content analysis, and shows that content analysis serves the purposes of both quantitative research and qualitative research. The authors draw on selected LIS studies that have used content analysis to illustrate the concepts addressed in the article. The article also serves as a gateway to methodological books and articles that provide more detail about aspects of content analysis discussed only briefly in the article.
    Source
    Library trends. 55(2006) no.1, S.22-45
  20. Kwakkel, J.H.; Cunningham, S.W.: Managing polysemy and synonymy in science mapping using the mixtures of factor analyzers model (2009) 0.09 
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    Abstract
    A new method for mapping the semantic structure of science is described. We assume that different researchers, working on the same set of research problems, will use the same words for concepts central to their research problems. Therefore, different research fields and disciplines should be identifiable by different words and the pattern of co-occurring words. In natural language, however, there is quite some diversity because many words have multiple meaning. In addition, the same meaning can be expressed by using different words. We argue that traditional factor analytic and cluster analytic techniques are inadequate for mapping the semantic structure if such polysemous and synonymous words are present. Instead, an alternative model, the mixtures of factor analyzers (MFA) model, is utilized. This model extends the traditional factor analytic model by allowing multiple centroids of the dataset. We argue that this model is structurally better suited to map the semantic structure of science. The model is illustrated by a case study of the uncertainty literature sampled from data from the ISI Web of Science. The MFA model is applied with the goal of discovering multiple, potentially incommensurate, conceptualizations of uncertainty in the literature. In this way, the MFA model can help in creating understanding of the use of language in science, which can benefit multidisciplinary research and interdisciplinary understanding, and assist in the development of multidisciplinary taxonomies of science.
    Date
    26. 9.2009 9:29:22
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.10, S.2064-2078

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