A Survey on Modeling of Human States in Communication Behavior

Abstract

SUMMARY The Technical Committee on Communication BehaviorEngineering addresses the research question "How do we construct a communication network system that includes users?". The growth in highly functional networks and terminals has brought about greater diversity in users' lifestyles and freed people from the restrictions of time and place. Under this situation, the similarities of human behavior cause traffic aggregation and generate new problems in terms of the stabilization of network service quality. This paper summarizes previous studies relevant to communication behavior from a multidisciplinary perspective and discusses the research approach adopted by the Technical Committee on Communication Behavior Engineering.

A Survey of Social Network Analysis Techniques and their Applications to Socially Aware Networking

“…Thanks to the proliferation of various network services, finegrained and large-scale log data of communication among individuals has become available, driving studies on social network analysis (SNA) [1][2][3][4][5]. In SNA, social networks (also called social graphs), in which individuals are represented by nodes and social ties among them are represented by links, are constructed from various data related to human communication [1,2,5,6].…”

“…More recently, SNA techniques have attracted the attention of researchers in the communication networking community, leading to the emergence of a new research field, socially aware networking [20]. There is an increasing need to take human factors into account for the design and control of communication networks [4,20]. To fulfill this need, SNA techniques have been applied to problems in communication networking.…”

“…Designing networking technologies that take human behaviors into consideration is a topic that has been getting increased attention from many researchers, with the aim of achieving efficient utilization of limited network resources and improved quality of service by various applications [4,20]. Particularly for mobile networks, usage patterns and mobility patterns of network users are suggested to significantly affect the performance of communication networks [20].…”