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1.
《Journal of Informetrics》2023,17(1):101356
Scholarly citations – widely seen as tangible measures of the impact and significance of academic papers – guide critical decisions by research administrators and policy makers. The citation distributions form characteristic patterns that can be revealed by big-data analysis. However, the citation dynamics varies significantly among subject areas, countries etc. The problem is how to quantify those differences, separate global and local citation characteristics. Here, we carry out an extensive analysis of the power-law relationship between the total citation count and the h-index to detect a functional dependence among its parameters for different science domains. The results demonstrate that the statistical structure of the citation indicators admits representation by a global scale and a set of local exponents. The scale parameters are evaluated for different research actors – individual researchers and entire countries – employing subject- and affiliation-based divisions of science into domains. The results can inform research assessment and classification into subject areas; the proposed divide-and-conquer approach can be applied to hidden scales in other power-law systems. 相似文献
2.
《Library & information science research》2006,28(1):7-23
Receiving the right information is extremely important for cancer patients as they move through the illness trajectory. However, according to previous research, not all patients are alike in the amount of information they need. A meta-analysis was conducted to study the aggregate influence of demographic and situational variables on the amount of information cancer patients need. The intent was to provide those individuals involved in information exchanges with indicators – patient characteristics and/or patient – to avoid overwhelming patients who need less information as well as to satisfy the higher needs of patients who need greater amounts of information. The pooled effect sizes produced show that younger cancer patients need more information (r = −0.26) and patients who preferred active roles in treatment decision-making express greater need for information (r = 0.38). Cancer patients' gender, thier education, time elapsed since diagnosis of cancer, and the stage of their illness may not be related to their information needs. In particular, it may be important to probe further the reasons for the lower need for information among elderly cancer patients because if their lower needs are due to their feelings of inhibition, efforts should be made in all contexts of health information transfer to enhance their information seeking. 相似文献
3.
Scholars in diverse fields of inquiry have identified the need to expand individual-based information seeking and behavior models and systems to incorporate social as well as collaborative dimensions. However, the research areas of Social Information Seeking (SIS) and Collaborative Information Seeking (CIS) have been largely disconnected from one another despite a few notable attempts to study them under one umbrella. Researchers in these communities have recently realized the value of bringing SIS and CIS together for two main reasons: often it is impossible to separate social and collaborative dimensions in a project; and by considering these two aspects of information seeking, we may be able to support human information behavior in ways not previously possible. A brief synthesis of work in the domains of SIS and CIS is presented here. Then, an integrated view is presented to consider Social and Collaborative Information Seeking (SCIS) as an intersection and extension of SIS and CIS. Benefits of this approach are discussed and the integrated view is used as the basis to present a research agenda that outlines opportunities and challenges unique to SCIS. 相似文献
4.
《Journal of Informetrics》2014,8(3):728-737
The main objective of this study is to analyze the relationship between research impact and the structural properties of co-author networks. A new bibliographic source, Microsoft Academic Search, is introduced to test its suitability for bibliometric analyses. Citation counts and 500 one-step ego networks were extracted from this engine. Results show that tiny and sparse networks – characterized by a high Betweenness centrality and a high Average path length – achieved more citations per document than dense and compact networks – described by a high Clustering coefficient and a high Average degree. According to disciplinary differences, Mathematics, Social Sciences and Economics & Business are the disciplines with more sparse and tiny networks; while Physics, Engineering and Geosciences are characterized by dense and crowded networks. This suggests that in sparse ego networks, the central author have more control on their collaborators being more selective in their recruitment and concluding that this behaviour has positive implications in the research impact. 相似文献
5.
Human information behavior is emerging as an important component of information studies. As in many emerging research areas, one challenge is to identify important facets of human information behavior and understand how different methods can be best used to research these facets. This paper presents the framework of an approach to designing and synthesizing research studies in human information behavior. The framework emerges from previous research in human information behavior and incorporates Ranganathan's framework for knowledge organization. It proposes that research studies that investigate human information behavior should consider the following facets: personality, matter, energy, space, and time. Personality refers to actors, and in this framework includes participants and their social networks. Matter refers to the target of the action. It includes information and information resources, including services and technology that may provide access to information. Energy is the action itself, including the participants' tasks, processes, and goals. Space is the environment of the action, and includes physical space as well as organizational and sociopolitical contexts. Time is the nonspatial continuum in which actions and events occur; in the framework, time is considered an episode, interval, or eon. Facets that should be investigated and taken into account in a study help guide the selection of the research methods for the study. Furthermore, research results from multiple studies can be synthesized by understanding the relationships among the facets investigated in the different studies. 相似文献
6.
《Journal of Informetrics》2022,16(3):101310
As science is becoming more interdisciplinary and potentially more data driven over time, it is important to investigate the changing specialty structures and the emerging intellectual patterns of research fields and domains. By employing a clustering-based network approach, we map the contours of a novel interdisciplinary domain – research using social media data – and analyze how the specialty structures and intellectual contributions are organized and evolve. We construct and validate a large-scale (N = 12,732) dataset of research papers using social media data from the Web of Science (WoS) database, complementing it with citation relationships from the Microsoft Academic Graph (MAG) database. We conduct cluster analyses in three types of citation-based empirical networks and compare the observed features with those generated by null network models. Overall, we find three core thematic research subfields – interdisciplinary socio-cultural sciences, health sciences, and geo-informatics – that designate the main epicenter of research interests recognized by this domain itself. Nevertheless, at the global topological level of all networks, we observe an increasingly interdisciplinary trend over the years, fueled by publications not only from core fields such as communication and computer science, but also from a wide variety of fields in the social sciences, natural sciences, and technology. Our results characterize the specialty structures of this domain at a time of growing emphasis on big social data, and we discuss the implications for indicating interdisciplinarity. 相似文献
7.
[目的/意义]相对于传统的信息行为分析，数据驱动的信息行为研究更注重数据的外在性与客观性，所得的结果能够更为全面地认识用户信息行为本质特征。[方法/过程]通过自行构建的APP实现对微信用户分享和阅读行为记录的采集，并对微信用户信息行为的时间特性进行系统的分析。[结果/结论]结果表明：微信用户日常信息行为存在显著的假日效应，但是在信息行为时间间隔分布上存在明显厚尾现象和很强的阵发性，预示着微信用户信息行为具有较高的复杂性和不确定性，无法对其产生过程实现有效的预测；此外，微信用户所分享的内容具有很强的时效性，多数内容在微信中能够得到及时的传播，但传播链长度显著受分享内容主题的影响。 相似文献
8.
新信息环境下,信息用户突破了传统的信息接受者和获取者的角色,转变成为网络用户,用户参与程度随之加深,其信息需求通过外显的信息行为反映出来,呈现出多样化、多维化、社会化和综合化的特点。网络信息行为涉及信息源选择、信息搜寻、信息交流、信息使用等行为。本文跟踪国内外重要研究成果(以图书情报领域为主),发现国内网络信息行为研究的内容和特点是:网络信息行为基本问题研究;对具体网络信息行为的研究;网络信息行为影响因素研究;多种研究方法相结合,研究内容和研究对象扩大。国外网络信息行为研究现状及发展动态体现在:研究对象扩大,呈现出跨学科的特征;研究变量增多,注重微观层面的探讨;多种研究方法相结合,同时强调定性与定量分析;新的信息行为类型不断被挖掘;不同机构、不同地区间合作频繁。 本文从理论基础、研究对象、研究内容、研究方法、行为类型、研究深度、合作程度等方面对国内外网络信息行为研究进行了比较。表2。参考文献106。 相似文献
9.
《International Information and Library Review》1996,28(3):249-260
While current research trends concern such humanfactorsas physical and intellectual compatibility with an information system, little research exists that focuses on humanbehaviorin the information seeking process. The purpose of this paper is to identify some of the behavioral factors that influence the design effectiveness of an information retrieval system and to apply some principles of human behavior to the design of the user interface. 相似文献
10.
Surprisingly little is known about the relationship between perceived work success and information behavior. This study shows that holistic (versus organization-centric) information behavioral preferences are related to interaction and exchange oriented perceptions of the success of work. The findings were drawn from a partial least square structural equation modeling (PLS-SEM) based analysis of the survey data (N?=?305) collected from employees of a large multinational corporation. The findings suggest that holistic information behavior is more strongly related to social measures of success, whereas their association with quantitative measures tends to be lower. From the perspective of information behavior research, the findings suggest that holism seems to be a similar factor to, for instance, task complexity or personality, which influences human information behavior and, for instance, perceptions of relevance. From a practical perspective, the study suggests that the promotion of specific facets of measuring success and patterns of information behavior can be used to influence the orientation of working between centrifugality and openness. 相似文献
11.
Even in a digitally advanced society, much of our daily lives is based in place, but information behavior research has largely ignored place as theoretically relevant to information behavior. This study explores the implications of a place-based approach to studying information practices, and examines factors that influence information seeking and sharing in place-based communities among parents of individuals with disabilities. Based on qualitative data gathered from 35 parents of individuals with disabilities, it proposes a spatial model of information source preferences based on the theory of information horizons, and discusses implications of the model for future research related to information seeking and places. It also presents substantive place-related findings about local information needs, including discussion of the local parent network as an information seeking system. 相似文献
12.
《Library & information science research》2004,26(1):15-28
With an increasing focus on developing a theoretical understanding of everyday life information behaviors, researchers need to consider the appropriateness of the methods and techniques utilized in empirical research in this area. Progressively, studies articulate the need for a person-centered approach to researching human information behavior, yet research methods can be adopted that do not encourage the study participants to express freely their views and experiences. This article proposes that narrative and episodic interviewing techniques are qualitative research methods that sustain a person-centered paradigm of human information behavior and that provide a particularly useful methodological framework for studies of everyday life information-seeking behavior. Furthermore, the author discusses her own work-in-progress that involves narrative interviews. 相似文献
13.
《Government Information Quarterly》2021,38(4):101619
Automated decision-making (ADM) systems may affect multiple aspects of our lives. In particular, they can result in systematic discrimination of specific population groups, in violation of the EU Charter of Fundamental Rights. One of the potential causes of discriminative behavior, i.e., unfairness, lies in the quality of the data used to train such ADM systems.Using a data quality measurement approach combined with risk management, both defined in ISO standards, we focus on balance characteristics and we aim to understand how balance indexes (Gini, Simpson, Shannon, Imbalance Ratio) identify discrimination risk in six large datasets containing the classification output of ADM systems.The best result is achieved using the Imbalance Ratio index. Gini and Shannon indexes tend to assume high values and for this reason they have modest results in both aspects: further experimentation with different thresholds is needed.In terms of policies, the risk-based approach is a core element of the EU approach to regulate algorithmic systems: in this context, balance measures can be easily assumed as risk indicators of propagation – or even amplification – of bias in the input data of ADM systems. 相似文献
14.
15.
This paper investigates the citation impact of three large geographical areas – the U.S., the European Union (EU), and the rest of the world (RW) – at different aggregation levels. The difficulty is that 42% of the 3.6 million articles in our Thomson Scientific dataset are assigned to several sub-fields among a set of 219 Web of Science categories. We follow a multiplicative approach in which every article is wholly counted as many times as it appears at each aggregation level. We compute the crown indicator and the Mean Normalized Citation Score (MNCS) using for the first time sub-field normalization procedures for the multiplicative case. We also compute a third indicator that does not correct for differences in citation practices across sub-fields. It is found that: (1) No geographical area is systematically favored (or penalized) by any of the two normalized indicators. (2) According to the MNCS, only in six out of 80 disciplines – but in none of 20 fields – is the EU ahead of the U.S. In contrast, the normalized U.S./EU gap is greater than 20% in 44 disciplines, 13 fields, and for all sciences as a whole. The dominance of the EU over the RW is even greater. (3) The U.S. appears to devote relatively more – and the RW less – publication effort to sub-fields with a high mean citation rate, which explains why the U.S./EU and EU/RW gaps for all sciences as a whole increase by 4.5 and 5.6 percentage points in the un-normalized case. The results with a fractional approach are very similar indeed. 相似文献
16.
《Library & information science research》2022,44(3):101174
Information studies characterize the beginning of information as creation, a point of origin. Adapting a continuum approach, this study focuses on the create dimension of the Information and Records Continuum models developed by Frank Upward and his colleagues (Upward, 2000). The context of this study is humanitarian aid and how the interactions of actors within the not-for-profit sector create information used to develop campaigns, design strategies for fundraising, and support beneficiaries, the recipients of aid. Semi-structured interviews and participatory observation were conducted in an international non-governmental organization working with vulnerable communities in Bangladesh. Applying the two continuum models provides insights into the development of aid workers' complex information ecosystem. Using the continuum models in analyzing the data for information and records creation suggest the potential use for these models to provide a theoretical framework in further information behavior studies. 相似文献
17.
2006-2007年国外用户信息检索行为研究述评 总被引：1，自引：0，他引：1
2006-2007年国外基于用户信息检索行为的研究,在信息检索行为理论方面主要集中在信息检索行为模型、基于认知学的用户信息检索行为、用户特征与信息检索行为之间的关系3个方面;在基于特定人群行为方面的研究,主要包括性别、年龄、学科、组织团体、职业5个类别;对行为影响因素的研究,主要包括外部因素和内部因素。研究特点:研究主题丰富;医学是用户信息检索行为研究最热门的学科。研究的不足:部分研究的实验样本规模过小、分析方法单一;用户信息检索行为与改善信息检索技术结合较少。 相似文献
18.
Social undermining as a strong predictor of adverse health outcomes in people living with HIV (PLWH), yet little is known about the experiences that constitute social undermining in this population. We led community-engaged research to identify and understand experiences of social undermining of PLWH in largely rural, minority-majority Southwestern communities. While past research focused on stigma-related experiences, participants in this study also told stories that shared their feelings of being undermined by lack of patient-centered care that they did not attribute to stigma, but to bureaucratic and impersonal service provision that marginalized them. These experiences create stress and serve as barriers for participants’ well-being and care. By bringing to the front experiences and mechanisms of social undermining, these findings advance theory, research, and practice regarding social undermining and living with HIV in diverse communities. 相似文献
19.
[目的/意义]网络学术信息资源在科研工作者科学研究过程中发挥着越来越重要的作用。通过对不同任务情境下科研用户网络信息搜寻过程中认知理性和行为特征、学术信息的评判标准和影响因素的研究,为科研用户信息行为的深入研究奠定基础。[方法/过程]运用发声思维研究方法,从不同任务情境视角对科研用户信息搜寻过程中网络学术信息评判与影响因素进行对比分析,在此基础上,讨论与分析科研用户网络学术信息搜寻行为理性与其根源。[结果/结论]在不同任务情境下科研用户网络学术信息资源的选择与评判是多侧面维度、多方面因素综合作用的结果,存在共性与差异;任务情境是科研用户心智模式塑造和网络学术信息意义建构过程中的关键条件变量;网络环境中的科研用户网络学术信息搜寻行为与搜寻过程是有限理性的,任务情境是有限理性行为的关键驱动因素。 相似文献
20.
《Government Information Quarterly》2020,37(1):101413
The increasing use of the Internet for service delivery has paralleled an increase of e-service users' privacy concerns as technology offers ample opportunities for organizations to store, process, and exploit personal data. This may reduce individuals' perceived ability to control their personal information and increase their perceived privacy risk. A systematic understanding of individuals' privacy concerns is important as negative user perceptions are a challenge to service providers' reputation and may hamper service delivery processes as they influence users' trust and willingness to disclose personal information. This study develops and validates a model that examines the effect of organizational privacy assurances on individual privacy concerns, privacy control and risk perceptions, trust beliefs and non-self-disclosure behavior. Drawing on a survey to 547 users of different types of e-services – e-government, e-commerce and social networking – in Rwanda, and working within the framework of exploratory analysis, this study uses partial least square-structural equation modeling to validate the overall model and the proposed hypotheses. The findings show that perceptions of privacy risks and privacy control are antecedents of e-service users' privacy concerns, trust and non-self-disclosure behavior. They further show that the perceived effectiveness of privacy policy and perceived effectiveness of self-regulations influence both perceptions of privacy risks and control and their consequences; users' privacy concerns, trust and non-self-disclosure behavior. The hypotheses are supported differently across the three types of e-services, which means that privacy is specific to context and situation. The study shows that the effect of privacy assurances on trust is different in e-government services than in other services which suggest that trust in e-government may be more complex and different in nature than in other contexts. The findings serve to enhance a theoretical understanding of organizational privacy assurances and individual privacy concerns, trust and self-disclosure behavior. They also have implications for e-service providers and users as well as for regulatory bodies and e-services designers. 相似文献