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  • × author_ss:"Björneborn, L."
  1. Björneborn, L.; Ingwersen, P.: Toward a basic framework for Webometrics (2004) 0.00
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    Abstract
    In this article, we define webometrics within the framework of informetric studies and bibliometrics, as belonging to library and information science, and as associated with cybermetrics as a generic subfield. We develop a consistent and detailed link typology and terminology and make explicit the distinction among different Web node levels when using the proposed conceptual framework. As a consequence, we propose a novel diagram notation to fully appreciate and investigate link structures between Web nodes in webometric analyses. We warn against taking the analogy between citation analyses and link analyses too far.
    Type
    a
  2. Björneborn, L.: Three key affordances for serendipity : toward a framework connecting environmental and personal factors in serendipitous encounters (2017) 0.00
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    Abstract
    Purpose Serendipity is an interesting phenomenon to study in information science as it plays a fundamental - but perhaps underestimated - role in how we discover, explore, and learn in all fields of life. The purpose of this paper is to operationalize the concept of serendipity by providing terminological "building blocks" for understanding connections between environmental and personal factors in serendipitous encounters. Understanding these connections is essential when designing affordances in physical and digital environments that can facilitate serendipity. Design/methodology/approach In this paper, serendipity is defined as what happens when we, in unplanned ways, encounter resources (information, things, people, etc.) that we find interesting. In the outlined framework, serendipity is understood as an affordance, i.e., a usage potential when environmental and personal factors correspond with each other. The framework introduces three key affordances for facilitating serendipity: diversifiability, traversability, and sensoriability, covering capacities of physical and digital environments to be diversified, traversed, and sensed. The framework is structured around couplings between the three key affordances and three key personal serendipity factors: curiosity, mobility, and sensitivity. Ten sub-affordances for serendipity and ten coupled personal sub-factors are also briefly outlined. Related research is compared with and mapped into the framework aiming at a theoretical validation. The affordance approach to serendipity is discussed, including different degrees and types of serendipity.
    Findings All the terminological "building blocks" in the framework are seen to resonate with the included related research. Serendipity is found to be a commonplace phenomenon in everyday life. It is argued that we cannot "engineer" nor "design" serendipity per se, but can design affordances for serendipity. Serendipity may thus be intended by designers, but must always be unplanned by users. The outlined affordance approach to serendipity points to the importance of our sensory-motor abilities to discover and explore serendipitous affordances. Research limitations/implications Implications of the framework for designing physical and digital environments with affordances for serendipity are briefly considered. It is suggested that physical environments may have a primacy regarding affordances of sensoriability for facilitating serendipity, and digital environments a primacy regarding traversability, whereas physical and digital environments may afford similar degrees of diversifiability. In future research, the framework needs further empirical validation in physical and digital environments. Originality/value No other research has been found addressing affordances for serendipity and connections between environmental and personal factors in similarly detailed ways. The outlined framework and typology may function as a baseline for further serendipity studies.
    Type
    a
  3. Thelwall, M.; Vaughan, L.; Björneborn, L.: Webometrics (2004) 0.00
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    Abstract
    Webometrics, the quantitative study of Web-related phenomena, emerged from the realization that methods originally designed for bibliometric analysis of scientific journal article citation patterns could be applied to the Web, with commercial search engines providing the raw data. Almind and Ingwersen (1997) defined the field and gave it its name. Other pioneers included Rodriguez Gairin (1997) and Aguillo (1998). Larson (1996) undertook exploratory link structure analysis, as did Rousseau (1997). Webometrics encompasses research from fields beyond information science such as communication studies, statistical physics, and computer science. In this review we concentrate on link analysis, but also cover other aspects of webometrics, including Web log fle analysis. One theme that runs through this chapter is the messiness of Web data and the need for data cleansing heuristics. The uncontrolled Web creates numerous problems in the interpretation of results, for instance, from the automatic creation or replication of links. The loose connection between top-level domain specifications (e.g., com, edu, and org) and their actual content is also a frustrating problem. For example, many .com sites contain noncommercial content, although com is ostensibly the main commercial top-level domain. Indeed, a skeptical researcher could claim that obstacles of this kind are so great that all Web analyses lack value. As will be seen, one response to this view, a view shared by critics of evaluative bibliometrics, is to demonstrate that Web data correlate significantly with some non-Web data in order to prove that the Web data are not wholly random. A practical response has been to develop increasingly sophisticated data cleansing techniques and multiple data analysis methods.
    Type
    a
  4. Jepsen, E.T.; Seiden, P.; Ingwersen, P.; Björneborn, L.; Borlund, P.: Characteristics of scientific Web publications : preliminary data gathering and analysis (2004) 0.00
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    Abstract
    Because of the increasing presence of scientific publications an the Web, combined with the existing difficulties in easily verifying and retrieving these publications, research an techniques and methods for retrieval of scientific Web publications is called for. In this article, we report an the initial steps taken toward the construction of a test collection of scientific Web publications within the subject domain of plant biology. The steps reported are those of data gathering and data analysis aiming at identifying characteristics of scientific Web publications. The data used in this article were generated based an specifically selected domain topics that are searched for in three publicly accessible search engines (Google, AlITheWeb, and AItaVista). A sample of the retrieved hits was analyzed with regard to how various publication attributes correlated with the scientific quality of the content and whether this information could be employed to harvest, filter, and rank Web publications. The attributes analyzed were inlinks, outlinks, bibliographic references, file format, language, search engine overlap, structural position (according to site structure), and the occurrence of various types of metadata. As could be expected, the ranked output differs between the three search engines. Apparently, this is caused by differences in ranking algorithms rather than the databases themselves. In fact, because scientific Web content in this subject domain receives few inlinks, both AItaVista and AlITheWeb retrieved a higher degree of accessible scientific content than Google. Because of the search engine cutoffs of accessible URLs, the feasibility of using search engine output for Web content analysis is also discussed.
    Type
    a