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The purpose of this paper is to propose a framework to detect adverse drug reactions (ADRs) using internet user search data, so that ADR events can be identified early. Empirical investigation of Avandia, a type II diabetes treatment, is conducted to illustrate how to implement the proposed framework.

Typical ADR identification measures and time series processing techniques are used in the proposed framework. Google Trends Data are employed to represent user searches. The baseline model is a disproportionality analysis using official drug reaction reporting data from the US Food and Drug Administration’s Adverse Event Reporting System.

Results show that Google Trends series of Avandia side effects search reveal a significant early warning signal for the side effect emergence of Avandia. The proposed approach of using user search data to detect ADRs is proved to have a longer leading time than traditional drug reaction discovery methods. Three more drugs with known adverse reactions are investigated using the selected approach, and two are successfully identified.

Validation of Google Trends data’s representativeness of user search is yet to be explored. In future research, user search in other search engines and in healthcare web forums can be incorporated to obtain a more comprehensive ADR early warning mechanism.

Using internet data in drug safety management with a proper early warning mechanism may serve as an earlier signal than traditional drug adverse reaction. This has great potential in public health emergency management.

The research work proposes a novel framework of using user search data in ADR identification. User search is a voluntary drug adverse reaction exploration behavior. Furthermore, user search data series are more concise and accurate than text mining in forums. The proposed methods as well as the empirical results will shed some light on incorporating user search data as a new source in pharmacovigilance.

The provision of information resources and services is now readily available online via digital libraries furnished by a wide variety of information providers. Information is no longer just text and pictures, and is now available in a wide variety of multimedia formats. Digital libraries represent a new form of information technology in which content management, service delivery and social impact matter as much as technological advancement. In addition, for digital library researchers there is a need to transform information access to knowledge creation and management. Based on research in the USA in the Digital Libraries Initiative and the National Science Digital Library programmes, a review is provided of significant past and emerging digital library research activities, and research based on new knowledge management concepts and technologies is suggested.

The conference co‐ordinator and an invited speaker of the International Conference on Digital Libraries (ICDL) which took place in New Delhi, India, February 2004 provide an overview of the conference – one of a growing series of digital library conferences that bring together computer scientists and librarians. The objectives of this conference were to bridge the knowledge gaps between developing and developed countries; initiate capacity building activities in digital libraries; evolve a road map for the digitization of archives, manuscripts and libraries; provide a forum for facilitating interaction among participants; and formulate recommendations on digitization technologies and policies. Outlines the themes and topics covered and provides the main points of the inaugural address to the conference by the President of India as well as the three keynote addresses.

The purpose of this paper is to explore the research status and development trend of the field of event detection in social media (ED in SM) through a bibliometric analysis of academic publications.

First, publication distributions are analyzed including the trends of publications and citations, subject distribution, predominant journals, affiliations, authors, etc. Second, an indicator of collaboration degree is used to measure scientific connective relations from different perspectives. A network analysis method is then applied to reveal scientific collaboration relations. Furthermore, based on keyword co-occurrence analysis, major research themes and their evolutions throughout time span are discovered. Finally, a network analysis method is applied to visualize the analysis results.

The area of ED in SM has received increasing attention and interest in academia with Computer Science and Engineering as two major research subjects. The USA and China contribute the most to the area development. Affiliations and authors tend to collaborate more with those within the same country. Among the 14 identified research themes, newly emerged themes such as Pharmacovigilance event detection are discovered.

This study is the first to comprehensively illustrate the research status of ED in SM by conducting a bibliometric analysis. Up-to-date findings are reported, which can help relevant researchers understand the research trend, seek scientific collaborators and optimize research topic choices.