Proceedings ArticleDOI
Data Mining Through Fuzzy Social Network Analysis
Premchand S. Nair,S.T. Sarasamma +1 more
- pp 251-255
TLDR
A method to consolidate the information content of the fuzzy graph is proposed and a new fuzzy binary operation called consolidation operation is also introduced.Abstract:
In this paper, fuzzy theory has been applied to social network analysis (SNA). Social network analysis models meaningful relations that exist between entities as graph. These entities may be people, events, organizations, symbols in text, sounds in verbalizations, nations of the world and so on. However, the fuzzy graph can be very huge and thus the ability to arrive at meaningful conclusions in a timely fashion may be quite difficult. With this in mind, a method to consolidate the information content of the fuzzy graph is proposed. Since none of the existing fuzzy binary operations meet the requirements, a new fuzzy binary operation called consolidation operation is also introduced.read more
Citations
More filters
Proceedings ArticleDOI
On the role of soft computing in modelling the spread of infectious diseases
TL;DR: A review of soft computing techniques that have been used in infectious disease modelling as well as a prescription of future challenges and issues this discipline must address to be fully accepted by the public health community are presented.
Proceedings ArticleDOI
A fuzzy sns community centrality analysis method and a case study on Ren Ren Net in China
TL;DR: In this paper, a fuzzy SNS community centrality analysis method is proposed, which combines graph-theory with related fuzzy approaches to explore the interpersonal node spatial distribution characteristics in social networking services.
Book ChapterDOI
A Fuzzy Social Network Analysis Method and a Case Study on Tianya Tourism Forum in China
TL;DR: A fuzzy social network service analysis method, which combines graph theory with related fuzzy approach, is developed to analyze the social network structural features and the distribution characteristics of interpersonal nodes in SNS community to support social networkservice management and particularly tourism online service developments.
Journal ArticleDOI
A New Fuzzy Propagation Model for Influence Maximization in Social Networks
Laya Aliahmadipour,Ezat Valipour +1 more
TL;DR: In this article , a fuzzy propagation model is proposed to solve the influence maximization problem in social networks, where a fuzzy zero forcing set (ZFS) concept is used to model social networks as fuzzy directed graphs and an application-oriented propagation process is proposed.
Journal ArticleDOI
Sosyal Ağlarda Yorum İçerik Tahmini için Bulanık Mantık tabanlı Metinsel Anlam Çıkarım Yaklaşımının Analizi
TL;DR: An analysis of fuzzy logic based textual meaning inference analysis was performed for the estimation of content in social networks and it is thought that the fuzzy Logic based semantic inference approach can be used in many social networks.
References
More filters
Book
Social Network Analysis: Methods and Applications
TL;DR: This paper presents mathematical representation of social networks in the social and behavioral sciences through the lens of Dyadic and Triadic Interaction Models, which describes the relationships between actor and group measures and the structure of networks.
Journal ArticleDOI
Social Network Analysis: Methods and Applications.
TL;DR: This work characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links that connect them.
Book
Fuzzy Sets and Systems: Theory and Applications
Didier Dubois,Henri Prade +1 more
TL;DR: This book effectively constitutes a detailed annotated bibliography in quasitextbook style of the some thousand contributions deemed by Messrs. Dubois and Prade to belong to the area of fuzzy set theory and its applications or interactions in a wide spectrum of scientific disciplines.
Book
Fuzzy sets and systems
TL;DR: Fuzzy sets as mentioned in this paper are a class of classes in which there may be grades of membership intermediate between full membership and non-membership, i.e., a fuzzy set is characterized by a membership function which assigns to each object its grade of membership.
Book
Fuzzy Graphs and Fuzzy Hypergraphs
TL;DR: Fuzzy Subsets: Fuzzy Relations.- FuzzY Equivalence Relations.- Pattern Classification.- Similarity Relations.- References.- fuzzy Graphs: Paths and Connectedness.