In recent years, attention to the structure of existing several complex networks has been increasing. The characteristic of such structure of complex networks is applicable in several forms to, for instance, information retrieval and data mining applications. However, in the literature, it has not been sufficiently investigated what the structure of complex networks tells and how the structure ...

In order to capture the effects of social ties in knowledge diffusion, this paper examines the publication network that emerges from the collaboration of researchers, using citation information as means to estimate knowledge flow. For this purpose, we analyzed the papers published in the PLOS ONE journal finding strong evidence to support that the closer two authors are in the co-authorship net...

Fraudulent emails can be detected by extraction of authorship information from the contents of emails. This paper presents information extraction based on unique words from the emails. These unique words will be used as representative features to train Radial Basis function (RBF). Final weights are obtained and subsequently used for testing. The percentage of identification of email authorship ...

Founded in Athens during 2002, ICMB developed to the major international research conference on mobile business with a significant number of researchers and authors contributing state of the art scientific papers in academia. In this paper we examine the state of the ICMB co-authorship network from 2002 to 2013 by applying Social Network Analysis techniques and measures. Our analysis is based o...

BACKGROUND We aimed to examine the co-authorship networks in three successful Iranian academic research centers, in order to find the association between the scientific productivity and impact indicators with network features in a case study. METHODS We searched for English articles of the three research centers. We drew co-authorship maps of each center and calculated social network measures...

BACKGROUND The aim of this study was to survey the Iranian Parasitology researchers' performance, and analyse and visualize the scientific outputs of their co-authorship network. METHODS This study was conducted using scientometric method and social network analysis (SNA). The data extracted from the Web of Science (WoS) databases in July 10th 2014. Totally, 1048 documents of all types in res...

A recurrent neural network that has been trained to separately model the language of several documents by unknown authors is used to measure similarity between the documents. It is able to find clues of common authorship even when the documents are very short and about disparate topics. While it is easy to make statistically significant predictions regarding authorship, it is difficult to group...

This article identifies the underlying patterns of collaboration and scientific co-authorship among geographically dispersed Korean researchers, using the most reliable longitudinal citation data available. The network indicators of centrality, network density, and network fragmentation are used to present the evolving network of co-authorship relations among sixteen Korean provinces and metrop...

Authorship analysis is a challenging area that has been developed through centuries and with research done widely scattered across multiple disciples of mainly computational linguistics, text mining, data mining, stylometry and machine learning. Conventional techniques from the past relied heavily on stylometry and text-based content analysis of document text for authorship analysis. More recen...