scholarly journals Set Pair Community Mining and Situation Analysis Based on Web Social Network

2011 ◽  
Vol 15 ◽  
pp. 3456-3460 ◽  
Author(s):  
Zhang Chunying ◽  
Liang Ruitao ◽  
Liu Lu ◽  
Wang Jing
Keyword(s):  
Social Network ◽  
Situation Analysis ◽  
Community Mining ◽  
Web Social

Understanding Security Threats in Spam Detection on Social Networks

2017 ◽  
Vol 2 (5) ◽  
pp. 18-22
Author(s):  
Balogun Abiodun Kamoru ◽  
Azmi Bin Jaafar ◽  
Masrah Azrifah Azmi Murad ◽  
Marzanah A. Jabar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Spam Detection ◽  
Security Threats ◽  
Network Community ◽  
Data Mining Approach ◽  
Internet Users ◽  
Strategic Approach ◽  
Web Social ◽  
E Mail

Social network has become a very popular way for internet users to communicate and interact online. The socia; networks provide a platform to maintain a contact with friends. Increasing social network’s popularity allows all of them to collect large amounts of personal details about their users. Globally, the issue of identifying spammers have received great attention due to its practical relevance in the field of social network analysis. Social network community users are fed with irrelevant information while surfing, due to spammer's activity. Spam pervades any information system such as e-mail or web, social, blog or reviews platform. The aim of this paper is to examine previous works in the field of spam detection in social networks, the study attempts to review various spam detection frameworks which details about the detection and elimination of spam's in various sources, By classification and Clustering Method of spam detection and by raising security awareness among the users of social networks and stake holders , by prescribing a strategic approach or data mining approach for analyzing the nature of spam detection on social networks.

Situation analysis of relationship in social networks based on link entropy

2015 ◽  
Vol 29 (13) ◽  
pp. 1550061 ◽  
Author(s):  
Ke Li ◽  
Hui-Jia Li ◽  
Hao Wang
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Analysis Model ◽  
Situation Analysis ◽  
The Social ◽  
Theoretical View ◽  
Different Types ◽  
The Relationship ◽  
Pair Analysis ◽  
Network Relationship

Since the existence of certain and uncertain characteristics of the relationships between nodes in social network, the study of social features is expanded by combining the set pair analysis and social computing. In this paper, a new method is created to describe nodes relationship situation in social network, i.e. set pair relationship situation, including generalized set pair relationship situation, generalized set pair close situation and generalized set pair loosen situation. In order to analyze the situation in social network, each kind of set pair relation situation are classified. Combining with the complexity of the social network system and the features of connection entropy, generalized connection entropy which used to express the complexity of social networks is proposed. It includes the generalized same entropy, the generalized difference entropy, and the generalized opposite entropy. These different types of entropies can be used to analyze the social network relationship stability from a more theoretical view. Then a situation analysis model and the corresponding algorithm is proposed. Finally the effectiveness of this method in analyzing the relationships in social networks is proved. Thus, our model can be used to reveal the relationship between social network and node state stability efficiently.

Gathering Alumni Information from a Web Social Network

2014 ◽  
Author(s):  
Gabriel Resende Goncalves ◽  
Anderson Almeida Ferreira ◽  
Guilherme Tavares de Assis ◽  
Andrea Iabrudi Tavares
Keyword(s):  
Social Network ◽  
Web Social
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