Vala Ali Rohani

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This paper examines the co-authorship network in the field of scientometrics using social network analysis techniques with the aim of developing an understanding of research collaboration in this scientific community. Using co-authorship data from 3125 articles published in the journal Scientometrics with a time span of more than three decades (1980-2012),(More)
Due to the distributed nature of Denial-of-Service attacks, it is tremendously challenging to identify such malicious behavior using traditional intrusion detection systems in Wireless Sensor Networks (WSNs). In the current paper, a bio-inspired method is introduced, namely the cooperative-based fuzzy artificial immune system (Co-FAIS). It is a(More)
This paper analyses the information science research field of informetrics to identify publication strategies that have been important for its successful researchers. The study uses a micro-analysis of informetrics researchers from 5,417 informetrics papers published in 7 core informetrics journals during 1948–2012. The most productive informetrics(More)
This study examines the research performance and international research collaborations (IRC) of ASEAN nations in the area of economics. Over the last 3 decades international collaborated papers have increased in the region, while locally-co-authored papers have declined. Singapore towered among ASEAN nations in research efficiency based on geographical(More)
Recent years have witnessed the generation of online social networking web sites, in which millions of members publicly articulate mutual friendship relations and share user-created contents. But it is just a few years that we have seen some efforts to create special social networks to be used in academic environments. Considering the increasing needs for(More)
Abundance of information in recent years has become a serious challenge for Web users. Recommender Systems (RSs) have been often utilized to alleviate this issue. RSs prune large information spaces to recommend the most relevant items to users by considering their preferences. Nonetheless, in situations where users or items have few opinions, the(More)
Perceiving the discussed topic in social media brings a great amount of value to different fields, such as marketing, security, education, and management. Topic modeling provides a powerful method for projecting text documents into topic space. In this paper, we explore an unsupervised topic modeling approach that incorporates LDA algorithm toward(More)
The present study utilizes social computing techniques to enhance the content-based recommender systems. Coined as Enhanced Content-based Algorithm using Social Networking (ECSN), this recommender algorithm is applied in academic social networks to suggest the most relevant items to members of these online societies. In addition to considering user's own(More)