Social Network Analysis Based on Network Motifs
نویسندگان
چکیده
In combination with the method of social network analysis, a set of network analysis methods is established based on the theory and methods of frequent subgraph mining, network motifs, at el, which is different from the traditional social network analysis. It can be used to analyze the properties of social network and judge the roles of the nodes effectively.
منابع مشابه
Exploring Gene Signatures in Different Molecular Subtypes of Gastric Cancer (MSS/ TP53+, MSS/TP53-): A Network-based and Machine Learning Approach
Gastric cancer (GC) is one of the leading causes of cancer mortality, worldwide. Molecular understanding of GC’s different subtypes is still dismal and it is necessary to develop new subtype-specific diagnostic and therapeutic approaches. Therefore developing comprehensive research in this area is demanding to have a deeper insight into molecular processes, underlying these subtypes. In this st...
متن کاملPrediction of Instagram Social Network Addiction Based on the Personality, Alexithymia and Attachment Styles
Instagram is the fastest growing social network site globally. Instagram is an online, mobile phone photo-sharing, video-sharing, and social network service that enables its users to take pictures and videos, and then share them on other platforms. The purpose of this study is to distinguish the student’s Instagram social network addiction by personality, alexithymia and attachment styles...
متن کاملCliques Role in Organizational Reputational Influence: A Social Network Analysis
Empirical support for the assumption that cliques are major determinants of reputational influence derives largely from the frequent finding that organizations which claimed that their cliques’ connections are influential had an increased likelihood of becoming influential themselves. It is suggested that the strong and consistent connection in cliques is at least partially responsible for the ...
متن کاملMEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection
Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods need to consider both kind of features, features based on user level and features based o...
متن کاملOverlapping Community Detection in Social Networks Based on Stochastic Simulation
Community detection is a task of fundamental importance in social network analysis. Community structures enable us to discover the hidden interactions among the network entities and summarize the network information that can be applied in many applied domains such as bioinformatics, finance, e-commerce and forensic science. There exist a variety of methods for community detection based on diffe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- J. Applied Mathematics
دوره 2014 شماره
صفحات -
تاریخ انتشار 2014