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    Survival analysis of author keywords: An application to the library and information sciences area

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    "This is the peer reviewed version of the following article: Peset, F, F Garzón-Farinós, LM González, X García-Massó, A Ferrer-Sapena, JL Toca-Herrera, and EA Sánchez-Pérez. 2019. "Survival Analysis of Author Keywords: An Application to the Library and Information Sciences Area." Journal of the Association for Information Science and Technology 71 (4). Wiley: 462-73. doi:10.1002/asi.24248, which has been published in final form at https://doi.org/10.1002/asi.24248. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] Our purpose is to adapt a statistical method for the analysis of discrete numerical series to the keywords appearing in scientific articles of a given area. As an example, we apply our methodological approach to the study of the keywords in the Library and Information Sciences (LIS) area. Our objective is to detect the new author keywords that appear in a fixed knowledge area in the period of 1 year in order to quantify the probabilities of survival for 10 years as a function of the impact of the journals where they appeared. Many of the new keywords appearing in the LIS field are ephemeral. Actually, more than half are never used again. In general, the terms most commonly used in the LIS area come from other areas. The average survival time of these keywords is approximately 3 years, being slightly higher in the case of words that were published in journals classified in the second quartile of the area. We believe that measuring the appearance and disappearance of terms will allow understanding some relevant aspects of the evolution of a discipline, providing in this way a new bibliometric approach.Peset Mancebo, MF.; Garzón Farinós, MF.; Gonzalez, L.; García-Massó, X.; Ferrer Sapena, A.; Toca-Herrera, JL.; Sánchez Pérez, EA. (2020). 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    Rethinking the information dimension of marketing

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    This article discusses the information dimension of marketing from a technical, theoretical and behavioral perspective. It also comments about the relationship between marketing and the library and information science (LIS). It is an exploratory and descriptive study and its qualitative approaches are carried out through classic documentary analysis. From the technical perspective, it addresses the presence of information in all marketing management processes, from market research to the final preparation of the marketing plan. From the theoretical perspective, it addresses the frameworks for marketing information processing, the influence of the information value theory and the application of techniques from dissimilar areas of study to analyze the information. From the behavioral perspective, it shows empirical evidence of human information behavior of marketing managers and other actors, based on cognitive and social viewpoints. Regarding disciplinary relations, marketing and LIS share theories related to information behavior, information management, and systems analysis and design. The marketing approaches are more noticeable on LIS studies than LIS approaches to marketing studies, considering the analysed literature. Information, as a link between both disciplines, makes way to delve into new research, academic and practical scenarios

    ACCIDENTAL DISCOVERY OF INFORMATION ON THE USER-DEFINED SOCIAL WEB: A MIXED-METHOD STUDY

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    Frequently interacting with other people or working in an information-rich environment can foster the accidental discovery of information (ADI) (Erdelez, 2000; McCay-Peet & Toms, 2010). With the increasing adoption of social web technologies, online user-participation communities and user-generated content have provided users the potential for ADI. However, ADI on t he Social Web has been under-examined in the literature of library and information science. This gap needs to be addressed in order to get a more complete picture of human information behavior. The objectives of this dissertation were to develop the propositions that describe and explain ADI behaviors among individual users of web-based social tools. Two research questions were addressed: 1) What are the characteristics of ADI on the Social Web? 2) What are the users’ perceptions about ADI on the Social Web? This dissertation used a sequential mixed-method research design involving three data collection methods: a survey, and follow-up logs, and interviews. The sample includes 45 participants in an academic environment. Among the survey participants, a purposeful sample of 13 individuals completed follow-up incident logs and in-depth interviews. Qualitative analysis with Stata 12/MP (StataCorp, 2011) and qualitative analysis with ATLAS.ti v.6 (http://www.atlasti.com/) were performed on the data. The results presented include descriptive statistics and thematic findings. The important findings include: 1) ADI on the Social Web has many unique characteristics that can be identified within the six elements of user, motivation, context, information behavior, information, and information need; 2) participating users considered the Social Web as a useful environment for ADI, and they even used some self-developed strategies to facilitate ADI; 3) prior experience and anticipation of ADI can be the motivations to use particular social tools; 4) social tools can serve as information grounds where users gather together and form relations, precipitating conditions which foster ADI; 5) users considered ADI on the Social Web as supplementary to their overall information acquisition; the unexpected information that they found was most beneficial for addressing long-term information needs. The findings of this study expand on existing information behavior theories and offer practical insights for the design of information services and library instruction

    Electronic Publishing: Research Issues for Academic Librarians and Users

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    published or submitted for publicatio

    Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package

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    This paper describes the R package crqa to perform cross-recurrence quantification analysis of two time series of either a categorical or continuous nature. Streams of behavioral information, from eye movements to linguistic elements, unfold over time. When two people interact, such as in conversation, they often adapt to each other, leading these behavioral levels to exhibit recurrent states. In dialogue, for example, interlocutors adapt to each other by exchanging interactive cues: smiles, nods, gestures, choice of words, and so on. In order for us to capture closely the goings-on of dynamic interaction, and uncover the extent of coupling between two individuals, we need to quantify how much recurrence is taking place at these levels. Methods available in crqa would allow researchers in cognitive science to pose such questions as how much are two people recurrent at some level of analysis, what is the characteristic lag time for one person to maximally match another, or whether one person is leading another. First, we set the theoretical ground to understand the difference between 'correlation' and 'co-visitation' when comparing two time series, using an aggregative or cross-recurrence approach. Then, we describe more formally the principles of cross-recurrence, and show with the current package how to carry out analyses applying them. We end the paper by comparing computational efficiency, and results' consistency, of crqa R package, with the benchmark MATLAB toolbox crptoolbox. We show perfect comparability between the two libraries on both levels

    On the framing of patent citations and academic paper citations in refl ecting knowledge linkage: A discussion of the discrepancy of their divergent value-orientations

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    It has been widely recognized that academic paper citations will reflect scientific knowledge linkage. Patent citations are similar to academic paper citations in many aspects: Citation frequency distribution is often skewed; citation frequency varies from one subject field to another and authors&rsquo;/inventors&rsquo;preference for citing relevant literature is usually confined to their own native language. However, regardless of these seemingly similarities, the patent citation is unique and special. It is constructed by incorporating information providers from multiple sources, such as from examiners, inventors, attorneys and/or the public. It is driven by a value-orientation for the monopolization of market production under regulations of Patent Laws. It is also practiced under the sway of an industrial culture embedded with a notion of &ldquo;creative destruction&rdquo;. In view of the contextual complexities of patent citations, simply applying the data criteria and citation behavior analysis of academic paper citations to that of patentbibliometrics for the purpose of reflecting knowledge linkage is both conceptually and technically illogical and unreasonable. This paper attempts to delve into the issue of the currently misconceived assertions and practice about &quot;transplanting&rdquo; the methodology of academic paper citations en masse indiscriminately into the practice of patent citations. It is hoped that such a study would yield improved result stemming from the practice of patent citations for reflecting knowledge linkage in the future.</p

    A visual analysis of the usage efficiency of library books

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    The monographic collections in academic libraries have undergone a period of tremendous growth in volume, in subject diversity, and in formats during the recent several decades. Readers may find it difficult to prioritize which book(s) should be borrowed for a specific purpose. The log data of book loan record may serve as a visible indicator for the more sought-after books by the readers. This paper describes our experimental efforts in works in a university library setting. The visual analysis is thought to provide an effective way to extract the book usage information, which may yield new insights into a host of other related technical as well as user behavior issues. Initial experiment has demonstrated that the proposed approach as articulated in this article can actually benefit end-users as well as library collection development personnel in their endeavor of book selections with effective measure.</p

    Information Behavior in the Mobile Environment: An Overview

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    As smartphones become ubiquitous, they increasingly influence the way in which students seek and use information. It is important to understand emerging information behavior as a result of wide spread use of smartphones. This paper provides an overview of information behavior in the mobile environment. Gender differences in mobile information seeking are discussed. People interact with mobile information in varied and unpredictable locations or while in transit. The mobility of information engagement is an important issue that human information theory should embrace
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