The increasing number of researchers and scientists participating in online communities has
induced big challenges for users who are looking for researchers who are interested. As a …

Community detection algorithms are essential tools that allow us to discover organizational
principles in networks. Today, in most cases, social networks are modeled as a multi-…

The development of knowledge sharing platforms, like scientific social networks encourages
researchers to establish international collaboration in scientific projects. After reviewing the …

Complex networks contain various interactions among similar or different entities. These
kinds of networks are called multi-relational networks, in which each layer corresponds to a …

The objective of the current study was to identify the authenticity of lime juice and its geographic
origin using targeted approaches based on the AIJN guideline and machine learning. …

Introduction: Manipulation of protein stability is important for understanding the principles that
govern protein thermostability, both in basic research and industrial applications. Various …

Collaborator finding systems are a special type of expert finding models. There is a long-lasting
challenge for research in the collaborator recommending research area, which is the …

Social networks are now an inseparable part of our life, each of us use social network for a
special purposes from social interaction to marketing. One of the flourishing aspects of social …

Introduction: Cancer is a major cause of mortality in the modern world, and one of the most
important health problems in societies. During recent years, research on cancer as a system …

Nowadays, increasing the volume of data and the number of attributes in the dataset has
reduced the accuracy of the learning algorithm and the computational complexity. A …