Search Results

In our study, we examine the impact of citation network structures on the ability to discern valuable research topics in Computer Science literature. We use the bibliographic information available in the DBLP database to extract candidate phrases from ...

Co-citation clustering is often used for mapping science in the field of bibliometrics. It may be useful to utilize information from parsing the full-text of citing documents to obtain a more precise result of the clustering. Recently, "rough co-...

Enterprise information systems EISs have evolved in the past 20 years, attracting the attention of international practitioners and scholars. Although literature reviews and analyses have been conducted to examine the multiple dimensions of EISs, no co-...

A traditional co-citation analysis may ignore the structure of articles. When reference was cited in different level, such as, chapter level, the contribution will be different. In this study, we define the strength of chapter level, different than the ...

Literature recommender systems support users in filtering the vast and increasing number of documents in digital libraries and on the Web. For academic literature, research has proven the ability of citation-based document similarity measures, such as ...

In the field of academic document search, citations are often used for measuring implicit relationships between documents. Recently, some studies have attempted to extend co-citation searching. However, these studies mainly focus on comparisons of ...

This paper retrieves the source data of SNS and information security from ISI Web of Knowledge database and use the information visualization software Cite Space II as the tool to analyze. The paper maps the co-citation network map to reveal the ...

We choose ISI Web of Knowledge as the data source of literatures about big data and use the information visualization software CiteSpace ) as the tool to analyze. The paper maps the co-citation network map to reveal the representative people and ...

we have explored the extension of cross mapping techniques to visualizing of collections of patents that cover a technological specialty. We first present a network model of collections of patent records and discuss this model and its application to ...

Co-citations and co-links have long been used as measures of topical relatedness between documents in various datasets. However, there are some characteristic differences between co-citations in scientific literature and co-links in hypertext due to the ...

Co-citation (number of nodes linking to both of a given pair of nodes) is often used heuristically to judge similarity between nodes in a complex network. We investigate the relation between node similarity and co-citation in the context of the Spatial ...

An important goal for digital libraries is to enable researchers to more easily explore related work. While citation data is often used as an indicator of relatedness, in this paper we demonstrate that digital access records (e.g. http-server logs) can ...

In this paper we address the problem of discovering missing hypertext links in Wikipedia. The method we propose consists of two steps: first, we compute a cluster of highly similar pages around a given page, and then we identify candidate links from ...

The paper proposes a new approach to create a patent classification system to replace the IPC or UPC system for conducting patent analysis and management. The new approach is based on co-citation analysis of bibliometrics. The traditional approach for ...

Ranking the tens of thousands of retrieved webpages for a user query on a Web search engine such that the most informative webpages are on the top is a key information retrieval technology. A popular ranking algorithm is the HITS algorithm of Kleinberg. ...

Clustering is currently one of the most crucial techniques for dealing (e.g. resources locating, information interpreting) with massive amount of heterogeneous information on the web. Unlike clustering in other fields, web page clustering separates ...

While web search engine could retrieve information on the Web for a specific topic, users have to step a long ordered list in order to locate the needed information, which is often tedious and less efficient. In this paper, we propose a new link-based ...

Hypertext may represent a new paradigm capable of exploring legal sources within which links are established according to pertinent relationships found between statute texts and case law. However, to discover relevant information in such a network, a ...