آموزش وردپرس | قالب وردپرس | افزونه وردپرس

1. PaperID 025:  Providing a Model to Explain the Communication Impact on the Way of Information Dissemination in the Social Networks   (pp:138-144)    | Fulltext|

Sharmin Rezaiy, Rassoul Roustaei

Abstract— The online social networks have attracted a wide range of users by providing different services and goals. The way in which the social network users are modeling and disseminate the information in these social networks would be so important, considering the impact of communication, and due to the structure of social relationships among users, while there are many kinds of information in these social networks. Many different models of dissemination have been proposed so far, while they have been used in a simple mode as active and inactive users, by considering that the way in which people being affected by information dissemination in the real world would take place step by step. Each node of the graph has been equipped with a learning automate by using an algorithm based on Cellular Learning automate in this article, and the the graph nodes as well as the relationships between the whole graph, and the reward and fining process of learning automate actions would apply based on the neighborhood relationships. Some tests have been arranged on social networking standards in order to evaluate the efficiency of suggested algorithm, and it has been compared to various parameters. The Simulation results indicate the relative superiority of the proposed model in comparison to the model of cellular automate dissemination based on the nature of the learning of cellular learning Automata and based on the receive feedback from the environment.

Keywords- Cellular Learning Automata, Dissemination development, Dissemination model, Social Network 

Full Text: PDF [Academia.edu |

2. PaperID 026:  A New Algorithm for Structural Role Mining in Social Networks   (pp:145-149)    | Fulltext|

Fatemeh Sepehri

Abstract— Individuals in social networks accept roles within their interactions that is known as their role-taking characteristic. A social role is a special position an individual possesses within a network, which indicates his/her behaviours, expectations, and responsibilities. Identifying the roles of individuals in social networks has various applications, such as detecting influential members, trustworthy people, and idea innovators. Roles can also be used for further analysis of the network, like community detection. One of the important roles in social networks is mediator. Mediators are individuals who connect different communities in a network. In this paper, we propose a new ranking measure that is called “connector score”. In order to identify mediators using the new measure, time complexity of “mediator score” that proposed in the last study, noticeably decreased. This new method ranks individuals based on degree centrality and also number of communities are connected to each other. To evaluate proposed method, Enron email network dataset is used and results show that time complexity of proposed method is less than mediator score. 

Keywords- community, graph, role mining, social networks, structural roles 

Full Text: PDF [Academia.edu |

 

3. PaperID 027: An Investigation of Energy Efficient Routing and Optimization Techniques in Wireless Sensor Networks (pp:150-156)    | Fulltext|

Adineh zamani, mohammad mehdi hassani 



Abstract
— Energy efficiency is the most challenging topic in Wireless Sensor Networks (WSN). Because of the increasing demands of various applications, and the constraints of energy, memory and computational power of the WSN nodes, many studies have focused on these areas in recent years. The current challenge in wireless sensor networks is high data delivery ratio with low energy consumption. Since radio transmission and reception uses a lot of energy, energy saving is a major issue in wireless sensor networks. Ongoing researches include routing protocols design which need less energy and extending networks’ lifetime as a result. For several applications, energy replacement is very costly. Energy consumption of wireless sensor networks allows using of nodes which are able to gather energy from the environment. We will propose a new routing algorithm to optimize the energy efficiency by reducing the number and total transmissions distance in order to save energy. We exclude the familiar optimization approaches and analyze distinct metric specific optimizations based on link failure, load balancing and distance. In medium and large scale, wireless sensor networks will have efficient energy.

Keywords- Energy Conservation, Energy Efficient, Link Failure, Link Recovery, Load balancing, Routing Protocols, Wireless Sensor Networks. 

Full Text: PDF [Academia.edu |