Showing papers in "Journal of the Association for Information Science and Technology in 2003"
TL;DR: It is concluded that Pearson's r is probably not an optimal choice of a similarity measure in ACA and further empirical research is needed to show if, and in that case to what extent, the use of similarity measures in ACA that fulfill these requirements would lead to objectively better results In full-scale studies.
Abstract: Author cocitation analysis (ACA), a special type of cocitation analysis, was introduced by White and Griffith in 1981. This technique is used to analyze the intellectual structure of a given scientific field. In 1990, McCain published a technical overview that has been largely adopted as a standard. Here, McCain notes that Pearson's correlation coefficient (Pearson's r) is often used as a similarity measure in ACA and presents some advantages of its use. The present article criticizes the use of Pearson's r in ACA and sets forth two natural requirements that a similarity measure applied in ACA should satisfy. It is shown that Pearson's r does not satisfy these requirements. Real and hypothetical data are used in order to obtain counterexamples to both requirements. It is concluded that Pearson's r is probably not an optimal choice of a similarity measure in ACA. Still, further empirical research is needed to show if, and in that case to what extent, the use of similarity measures in ACA that fulfill these requirements would lead to objectively better results In full-scale studies. Further, problems related to incomplete cocitation matrices are discussed.
681 citations
TL;DR: The concept of relevance as viewed and applied in the context of IR evaluation is introduced, by presenting an overview of the multidimensional and dynamic nature of the concept.
Abstract: This article introduces the concept of relevance as viewed and applied in the context of IR evaluation, by presenting an overview of the multidimensional and dynamic nature of the concept. The literature on relevance reveals how the relevance concept, especially in regard to the multidimensionality of relevance, is many faceted, and does not just refer to the various relevance criteria users may apply in the process of judging relevance of retrieved information objects. From our point of view, the multidimensionality of relevance explains why some will argue that no consensus has been reached on the relevance concept. Thus, the objective of this article is to present an overview of the many different views and ways by which the concept of relevance is used--leading to a consistent and compatible understanding of the concept. In addition, special attention is paid to the type of situational relevance. Many researchers perceive situational relevance as the most realistic type of user relevance, and therefore situational relevance is discussed with reference to its potential dynamic nature, and as a requirement for interactive information retrieval (IIR) evaluation.
520 citations
417 citations
TL;DR: This paper describes collaboration among a group of scientists, and considers how their experiences are socially shaped, which may inform the specification of social and organizational practices, which are needed to establish collaboration in distributed, multi-disciplinary research centers.
Abstract: Collaboration is often a critical aspect of scientific research, which is dominated by complex problems, rapidly changing technology, dynamic growth of knowledge, and highly specialized areas of expertise. An individual scientist can seldom provide all of the expertise and resources necessary to address complex research problems. This paper describes collaboration among a group of scientists, and considers how their experiences are socially shaped. The scientists were members of a newly formed distributed, multi-disciplinary academic research center that was organized into four multi-disciplinary research groups. Each group had 14 to 34 members, including faculty, postdoctoral fellows and students, at four geographically dispersed universities. To investigate challenges that emerge in establishing scientific collaboration, data were collected about members' previous and current collaborative experiences, perceptions regarding collaboration, and work practices during the center's first year of operation. The data for the study includes interviews with members of the center, observations of videoconferences and meetings, and a center-wide sociometric survey. Data analysis has led to the development of a framework that identifies forms of collaboration that emerged among scientists (e.g., complementary and integrative collaboration) and associated factors, which influenced collaboration including personal compatibility, work connections, incentives, and infrastructure. These results may inform the specification of social and organizational practices, which are needed to establish collaboration in distributed, multi-disciplinary research centers.
415 citations
TL;DR: The identity measure and the best fingerprinting technique are both able to accurately identify coderivative documents, and it is demonstrated that the identity measure is clearly superior for fingerprinting parameters.
Abstract: The widespread use of on-line publishing of text promotes storage of multiple versions of documents and mirroring of documents in multiple locations, and greatly simplifies the task of plagiarizing the work of others. We evaluate two families of methods for searching a collection to find documents that are coderivative, that is, are versions or plagiarisms of each other. The first, the ranking family, uses information retrieval techniques; extending this family, we propose the identity measure, which is specifically designed for identification of co-derivative documents. The second, the fingerprinting family, uses hashing to generate a compact document description, which can then be compared to the fingerprints of the documents in the collection. We introduce a new method for evaluating the effectiveness of these techniques, and demonstrate it in practice. Using experiments on two collections, we demonstrate that the identity measure and the best fingerprinting technique are both able to accurately identify coderivative documents. However, for fingerprinting parameters must be carefully chosen, and even so the identity measure is clearly superior.
378 citations
TL;DR: A fuller description of the information-seeking process of social scientists studying stateless nations should include four additional features besides those identified by Ellis, and a new model is developed, which groups all the features into four interrelated stages: searching, accessing, processing, and ending.
Abstract: This paper revises David Ellis's information-seeking behavior model of social scientists, which includes six generic features: starting, chaining, browsing, differentiating, monitoring, and extracting. The paper uses social science faculty researching stateless nations as the study population. The description and analysis of the information-seeking behavior of this group of scholars is based on data collected through structured and semistructured electronic mail interviews. Sixty faculty members from 14 different countries were interviewed by e-mail. For reality check purposes, face-to-face interviews with five faculty members were also conducted. Although the study confirmed Ellis's model, it found that a fuller description of the information-seeking process of social scientists studying stateless nations should include four additional features besides those identified by Ellis. These new features are: accessing, networking, verifying, and information managing. In view of that, the study develops a new model, which, unlike Ellis's, groups all the features into four interrelated stages: searching, accessing, processing, and ending. This new model is fully described and its implications on research and practice are discussed. How and why scholars studied here are different than other academic social scientists is also discussed.
357 citations
TL;DR: This work aims to establish a tentative typology of disiciplines and research areas according to their degree of interdisciplinarity, and provides a general overview of all scientific disciplines with special attention to their interrelation.
Abstract: Interdisciplinarity is considered the best way to face practical research topics since synergy between traditional disciplines has proved very fruitful. Studies on interdisciplinarity from all possible perspectives are increasingly demanded. Different interdisciplinarity measures have been used in case studies but, up to now, no general interdisciplinarity indicator useful for Science Policy purposes has been accepted. The bibliometric methodology presented here provides a general overview of all scientific disciplines, with special attention to their interrelation. This work aims to establish a tentative typology of disiciplines and research areas according to their degree of interdisciplinarity. Interdisciplinarity is measured through a series of indicators based on Institute for Scientific Information (ISI) multi-assignation of journals in subject categories. Research areas and categories are described according to the quantity of their links (number of related categories) and their quality (with close or distant categories, diversity, and strength of links). High levels of interrelations between categories are observed. Four different types of categories are found through cluster analysis. This differentiates "big" interdisciplinarity, which links distant categories, from "small" interdisciplinarity, in which close categories are related. The location of specific categories in the clusters is discussed.
299 citations
TL;DR: It is demonstrated that the acknowledgment has gradually established itself as a constitutive element of academic writing, one that provides a revealing insight into the nature and extent of subauthorship collaboration.
Abstract: We chronicle the use of acknowledgments in 20th-century scholarship by analyzing and classifying more than 4,500 specimens covering a 100-year period. Our results show that the intensity of acknowledgment varies by discipline, reflecting differences in prevailing sociocognitive structures and work practices. We demonstrate that the acknowledgment has gradually established itself as a constitutive element of academic writing, one that provides a revealing insight into the nature and extent of subauthorship collaboration. Complementary data on rates of coauthorship are also presented to highlight the growing importance of collaboration and the increasing division of labor in contemporary research and scholarship.
284 citations
TL;DR: The Pathfinder Networks (PFNETs) as mentioned in this paper are used in AuthorLink, a new web-based system that creates live interfaces for cocited author retrieval on the fly, and they can be generated from matrices of raw counts rather than Pearson correlations, which removes a computational step associated with traditional ACA.
Abstract: In their 1998 article "Visualizing a discipline: An author cocitation analysis of information science, 1972-1995," White and McCain used multidimensional scaling, hierarchical clustering, and factor analysis to display the specialty groupings of 120 highly-cited ("paradigmatic") information scientists. These statistical techniques are traditional in author cocitation analysis (ACA). It is shown here that a newer technique, Pathfinder Networks (PFNETs), has considerable advantages for ACA. In PFNETs, nodes represent authors, and explicit links represent weighted paths between nodes, the weights in this case being cocitation counts. The links can be drawn to exclude all but the single highest counts for author pairs, which reduces a network of authors to only the most salient relationships. When these are mapped, dominant authors can be defined as those with relatively many links to other authors (i.e., high degree centrality). Links between authors and dominant authors define specialties, and links between dominant authors connect specialties into a discipline. Maps are made with one rather than several computer routines and in one rather than many computer passes. Also, PFNETs can, and should, be generated from matrices of raw counts rather than Pearson correlations, which removes a computational step associated with traditional ACA. White and McCain's raw data from 1998 are remapped as a PFNET. It is shown that the specialty groupings correspond closely to those seen in the factor analysis of the 1998 article. Because PFNETs are fast to compute, they are used in AuthorLink, a new Web-based system that creates live interfaces for cocited author retrieval on the fly.
284 citations
TL;DR: Experimental results show that the proposed approach to relevant term extraction and term suggestion can provide organized and highly relevant terms, and can exploit the contextual information in a user's query session to make more effective suggestions.
Abstract: This paper proposes an effective term suggestion approach to interactive Web search. Conventional approaches to making term suggestions involve extracting co-occurring keyterms from highly ranked retrieved documents. Such approaches must deal with term extraction difficulties and interference from irrelevant documents, and, more importantly, have difficulty extracting terms that are conceptually related but do not frequently co-occur in documents. In this paper, we present a new, effective log-based approach to relevant term extraction and term suggestion. Using this approach, the relevant terms suggested for a user query are those that co-occur in similar query sessions from search engine logs, rather than in the retrieved documents. In addition, the suggested terms in each interactive search step can be organized according to its relevance to the entire query session, rather than to the most recent single query as in conventional approaches. The proposed approach was tested using a proxy server log containing about two million query transactions submitted to search engines in Taiwan. The obtained experimental results show that the proposed approach can provide organized and highly relevant terms, and can exploit the contextual information in a user's query session to make more effective suggestions.
273 citations
TL;DR: This paper explores the use of self-citation and authorial mention in a corpus of 240 research articles and 800 abstracts in eight disciplines and shows how self-mention is used and the ways these uses reflect both the promotional strategies of individuals and the epistemological practices of their disciplines.
Abstract: Author self-citation has long been of interest to those working in informetrics for what it reveals about the publishing behavior of individuals and their relationships within academic networks. While this research has produced interesting insights, it typically assumes either that self-citation is a neutral form of reporting not unlike references to others' work or an unsavory kind of academic egotism. By examining self-citation in a wider context of self-mention, however, the phenomenon can be seen as part of a more comprehensive rhetorical strategy for emphasizing a writer's personal contribution to a piece of research and strengthening his or her knowledge claims, research credibility, and wider standing in the discipline. These meanings are not easily revealed through quantitative bibliometric methods and require careful text analyses and discourse-based interviews with academics. In this paper I explore the use of self-citation and authorial mention in a corpus of 240 research articles and 800 abstracts in eight disciplines. Through an analysis of these texts and interviews with expert informants I show how self-mention is used and the ways these uses reflect both the promotional strategies of individuals and the epistemological practices of their disciplines.
TL;DR: STIN models provide a richer understanding of human behavior with online scholarly communications forums and help to further a more complete understanding of the conditions and activities that support the sustainability of these forums within a field than does the Standard Model.
Abstract: In this article, we examine the conceptual models that help us understand the development and sustainability of scholarly and professional communication forums on the Internet, such as conferences, pre-print servers, field-wide data sets, and collaboratories. We first present and document the information processing model that is implicitly advanced in most discussions about scholarly communications-the "Standard Model." Then we present an alternative model, one that considers information technologies as Socio-Technical Interaction Networks (STINs). STIN models provide a richer understanding of human behavior with online scholarly communications forums. They also help to further a more complete understanding of the conditions and activities that support the sustainability of these forums within a field than does the Standard Model. We illustrate the significance of STIN models with examples of scholarly communication forums drawn from the fields of high-energy physics, molecular biology, and information systems. The article also includes a method for modeling electronic forums as STINs.
TL;DR: Using a set of documents related to the subject of anthrax research, this article illustrates the construction, exploration, and interpretation of time lines for the purpose of identifying and visualizing temporal changes in research activity through journal articles.
Abstract: Research fronts, defined as clusters of documents that tend to cite a fixed, time invariant set of base documents, are plotted as time lines for visualization and exploration Using a set of documents related to the subject of anthrax research, this article illustrates the construction, exploration, and interpretation of time lines for the purpose of identifying and visualizing temporal changes in research activity through journal articles Such information is useful for presentation to members of expert panels used for technology forecasting
TL;DR: The rationale for creating historiographs of scholarly topics using a new program called HistCiteTM, which produces a variety of analyses to aid the historian identify key events, people, and journals in a field, is discussed.
Abstract: This article discusses the rationale for creating historiographs of scholarly topics using a new program called HistCiteTM, which produces a variety of analyses to aid the historian identify key events (papers), people (authors), and journals in a field. By creating a genealogic profile of the evolution, the program aids the scholar in evaluating the paradigm involved.
TL;DR: The purpose of the study is to understand Web users' query behavior, to identify problems encountered by these Web users, and to develop appropriate techniques for optimization of query analysis and mining.
Abstract: This project analyzed 541,920 user queries submitted to and executed in an academic Website during a four-year period (May 1997 to May 2001) using a relational data-base. The purpose of the study is three-fold: (1) to understand Web users' query behavior; (2) to identify problems encountered by these Web users; (3) to develop appropriate techniques for optimization of query analysis and mining. The linguistic analyses focus on query structures, lexicon, and word associations using statistical measures such as Zipf distribution and mutual information. A data model with finest granularity is used for data storage and iterative analyses. Patterns and trends of querying behavior are identified and compared with previous studies.
TL;DR: Results show that both site age and site content are significant factors for the disciplines studied: library and information science, and law and Comparisons between the two fields also show disciplinary differences in Web site characteristics.
Abstract: Web links have been studied by information scientists for at least six years but it is only in the past two that clear evidence has emerged to show that counts of links to scholarly Web spaces (universities and departments) can correlate significantly with research measures, giving some credence to their use for the investigation of scholarly communication This paper reports on a study to investigate the factors that influence the creation of links to journal Web sites An empirical approach is used: collecting data and testing for significant patterns The specific questions addressed are whether site age and site content are inducers of links to a journal's Web site as measured by the ratio of link counts to Journal Impact Factors, two variables previously discovered to be related A new methodology for data collection is also introduced that uses the Internet Archive to obtain an earliest known creation date for Web sites The results show that both site age and site content are significant factors for the disciplines studied: library and information science, and law Comparisons between the two fields also show disciplinary differences in Web site characteristics Scholars and publishers should be particularly aware that richer content on a journal's Web site tends to generate links and thus the traffic to the site
TL;DR: It is suggested that revolutionary and normal science be seen as extremes on a continuum of rates of change rather than, as Kuhn originally asserted, as an all or none proposition.
Abstract: Can maps of science tell us anything about paradigms? The author reviews his earlier work on this question, including Kuhn's reaction to it. Kuhn's view of the role of bibliometrics differs substantially from the kinds of reinterpretations of paradigms that information scientists are currently advocating. But these reinterpretations are necessary if his theory will ever be empirically tested, and further progress is to be made in understanding the growth of scientific knowledge. A new Web tool is discussed that highlights rapidly changing specialties that may lead to new ways of monitoring revolutionary change in real time. It is suggested that revolutionary and normal science be seen as extremes on a continuum of rates of change rather than, as Kuhn originally asserted, as an all or none proposition.
TL;DR: This work compared bibliographic and Web citations to articles in 46 journals in library and information science to find that Web citations correlated significantly with both bibliographs listed in the Social Sciences Citation Index and the ISI's Journal Impact Factor.
Abstract: Web citations have been proposed as comparable to, even replacements for, bibliographic citations, notably in assessing the academic impact of work in promotion and tenure decisions We compared bibliographic and Web citations to articles in 46 journals in library and information science For most journals (57%), Web citations correlated significantly with both bibliographic citations listed in the Social Sciences Citation Index and the ISI's Journal Impact Factor Many of the Web citations represented intellectual impact, coming from other papers posted on the Web (30%) or from class readings lists (12%) Web citation counts were typically higher than bibliographic citation counts for the same article Journals with more Web citations tended to have Web sites that provided tables of contents on the Web, while less cited journals did not have such publicity The number of Web citations to journal articles increased from 1992 to 1997
TL;DR: It is argued that qualitative information revealing why authors are cocited is more important than the cautions proposed in the AJ&R critique, and r performs well enough for the purposes of ACA.
Abstract: In their article "Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient," Ahlgren, Jarneving, and Rousseau fault traditional author cocitation analysis (ACA) for using Pearson's r as a measure of similarity between authors because it fails two tests of stability of measurement. The instabilities arise when rs are recalculated after a first coherent group of authors has been augmented by a second coherent group with whom the first has little or no cocitation. However, AJ&R neither cluster nor map, their data to demonstrate how fluctuations in rs will mislead the analyst, and the problem they pose is remote from both theory and practice in traditional ACA. By entering their own rs into multidimensional scaling and clustering routines, I show that, despite r's fluctuations, clusters based on it are much the same for the combined groups as for the separate groups. The combined groups when mapped appear as polarized clumps of points in two-dimensional space, confirming that differences between the groups have become much more important than differences within the groups--an accurate portrayal of what has happened to the data. Moreover, r produces clusters and maps very like those based on other coefficients that AJ&R mention as possible replacements, such as a cosine similarity measure or a chi square dissimilarity measure. Thus, r performs well enough for the purposes of ACA. Accordingly, I argue that qualitative information revealing why authors are cocited is more important than the cautions proposed in the AJ&R critique. I include notes on topics such as handling the diagonal in author cocitation matrices, lognormalizing data, and testing r for significance.
TL;DR: The result of this study suggests the principle categories of search terms for users in American history, suggesting directions for the development of indexing tools and system design for image retrieval systems.
Abstract: Users' queries for visual information in American history were studied to identify the image attributes important for retrieval and the characteristics of users' queries for images. The queries were collected from 38 faculty and graduate students of American history in 1999 in a local setting. Pre- and post-test questionnaires and interview were employed to gather users' requests and search terms. The Library of Congress American Memory photo archive was used to search for images. Thirty-eight natural language statements, 185 search terms provided by the participants, and 219 descriptors indicated by the participants in relevant retrieved records were analyzed to find the distribution of subject content of users' queries. Over half of the search requests fell into the category "general/nameable needs." It was also found that most image content was described in terms of kind of person, thing, event, or condition depending on location or time. Title, date, and subject descriptors were mentioned as appropriate representation of image subject content. The result of this study suggests the principle categories of search terms for users in American history, suggesting directions for the development of indexing tools and system design for image retrieval systems.
TL;DR: For the first time, grant and publication data appear interlinked in one map and a discussion of research challenges for indicator-assisted evaluation and funding of research is discussed.
Abstract: This article reports research on analyzing and visualizing the impact of governmental funding on the amount and citation counts of research publications. For the first time, grant and publication data appear interlinked in one map. We start with an overview of related work and a discussion of available techniques. A concrete example- grant and publication data from Behavioral and Social Science Research, one of four extramural research programs at the National Institute on Aging (NIA)--is analyzed and visualized using the VxInsight® visualization tool. The analysis also illustrates current existing problems related to the quality and existence of data, data analysis, and processing. The article concludes with a list of recommendations on how to improve the quality of grant-publication maps and a discussion of research challenges for indicator-assisted evaluation and funding of research.
TL;DR: A user-subjective approach to Personal Information Management (PIM) system design is suggested that PIM systems relate to the subjective value-added attributes that the user gives to the data stored in the PIM system.
Abstract: In this article we suggest a user-subjective approach to Personal Information Management (PIM) system design. This approach advocates that PIM systems relate to the subjective value-added attributes that the user gives to the data stored in the PIM system. These attributes should facilitate system use: help the user find the information item again, recall it when needed, and use it effectively in the next interaction with the item. Driven from the user-subjective approach are three generic principles which are described and discussed: (a) The subjective classification principle, stating that all information items related to the same subjective topic should be classified together regardless of their technological format; (b) The subjective importance principle, proposing that the subjective importance of information should determine its degree of visual salience and accessibility; and (c) The subjective context principle, suggesting that information should be retrieved and viewed by the user in the same context in which it was previously used. We claim that these principles are only sporadically implemented in operating systems currently available on personal computers, and demonstrate alternatives for interface design.
TL;DR: An online survey targeted to politically interested Internet users assesses whether traditional media use is decreasing, increasing or remaining the same since users first started using the Web, bulletin boards/electronic mailing lists and chat rooms as discussed by the authors.
Abstract: An online survey targeted to politically interested Internet users assesses whether traditional media use is decreasing, increasing or remaining the same since users first started using the Web, bulletin boards/electronic mailing lists and chat rooms. Associations are made between media use gratifications, political attitudes and demographics and traditional media use, and further analysis determines whether these factors predict changes in the amount of time online users spend with traditional media. This study's findings are compared with a similar study conducted in 1996. News magazines and radio news took the hardest hit from the Internet in 2000 but in 1996 television news suffered the most. Generally, in both years the Internet had not altered media use patterns. In 1996 and 2000 more users claimed that the time they spent seeking political information from traditional media sources had stayed the same than had changed. However, the trend indicates that those Internet users whose media patterns have changed are abandoning traditional media at a much greater rate than they are increasing their use.
TL;DR: It is shown that the performance of the single-pass approach can be improved by constructing inverted files in segments, reducing the cost of disk accesses during inversion of large volumes of data.
Abstract: Efficient construction of inverted indexes is essential to provision of search over large collections of text data. In this article, we review the principal approaches to inversion, analyze their theoretical cost, and present experimental results. We identify the drawbacks of existing inversion approaches and propose a single-pass inversion method that, in contrast to previous approaches, does not require the complete vocabulary of the indexed collection in main memory, can operate within limited resources, and does not sacrifice speed with high temporary storage requirements. We show that the performance of the single-pass approach can be improved by constructing inverted files in segments, reducing the cost of disk accesses during inversion of large volumes of data.
TL;DR: A page categorization is used to show that restricting the metrics to subsets more closely related to the research of the host university can produce even stronger associations.
Abstract: Results from recent advances in link metrics have demonstrated that the hyperlink structure of national university systems can be strongly related to the research productivity of the individual institutions. This paper uses a page categorization to show that restricting the metrics to subsets more closely related to the research of the host university can produce even stronger associations. A partial overlap was also found between the effects of applying advanced document models and separating page types, but the best results were achieved through a combination of the two.
TL;DR: A novel user interface is presented that provides global visualizations of large document sets in order to help users to formulate the query that corresponds to their information needs and to access the corresponding documents.
Abstract: This paper presents a novel user interface that provides global visualizations of large document sets in order to help users to formulate the query that corresponds to their information needs and to access the corresponding documents. An important element of the approach we introduce is the use of concept hierarchies (CHs) in order to structure the document collection. Each CH corresponds to a facet of the documents users can be interested in. Users browse these CHs in order to specify and refine their information needs. Additionally the interface is based on OLAP principles and multi-dimensional analysis operators are provided to users in order to allow them to explore a document collection.
TL;DR: In an important parametric case it is shown that the expected number of future citations is a linear function of the current number, this being interpretable as an example of a success-breeds-success phenomenon.
Abstract: In this article we further develop the theory for a stochastic model for the citation process in the presence of obsolescence to predict the future citation pattern of individual papers in a collection. More precisely, we investigate the conditional distribution--and its mean-- of the number of citations to a paper after time t, given the number of citations it has received up to time t. In an important parametric case it is shown that the expected number of future citations is a linear function of the current number, this being interpretable as an example of a success-breeds-success phenomenon.
TL;DR: This study examines sustained use and non-use of online services within organizations in a way that overcomes limitations of the traditional approaches that repeatedly led to exuberant usage projections and adopts an open-systems view.
Abstract: Before the Web, the story of online information services was largely one of over-estimates and unmet expectations. This study examines sustained use and non-use of online services within organizations in a way that overcomes limitations of the traditional approaches that repeatedly led to exuberant usage projections. By adopting an open-systems view, we see that firms in highly technical and highly institutional environments have many more incentives to gather data and go online than do firms in low-tech, unregulated industries. But firms make important choices about partnering and outsourcing that can shift informational activities across organizational boundaries. Our analysis focuses on the informational environments of firms in three industries: law, real estate and biotech/pharmaceuticals. This environmental model provides richer conceptualizations about the use of information and communication technologies, including Internet technologies, and better projections about future use. In support of our analysis, we briefly discuss insights from an ongoing intranets study informed by an informational environments perspective.