Network theory

About: Network theory is a research topic. Over the lifetime, 2257 publications have been published within this topic receiving 109864 citations.

Research on the selecting mechanism of individual interactive object for online social network

Abstract: The exploration of the mechanism of human behavior becomes very hot and interesting due to its importance and complexity. With the improvement of network technology, online social networks have developed rapidly and changed the traditional way of people's communication. Large amount of data of user behavior is recorded, which gives us an opportunity to study the mechanism of human behavior. In this paper, we mainly research on the selecting mechanism of individual on online social networks. First of all, we put forward the individual interactive model used for explaining how an individual choose his interactive object on online social network based on the sociology, psychology and network theory. Then, to fit the data requirement of this model, we crawl and collect the data from actual online platforms. Furthermore, simulation and empirical study have been completed in two different platforms respectively to verify the accuracy of this model. Finally, we gained high level prediction accuracy rate to predict people's interactive behavior in future periods, which brings great significance in relative study area.

Modelling language acquisition in children using network theory

Abstract: Research in children’s language acquisition has recently benefited from the application of network theory to large sets of empirical data, which has illuminated interesting patterns and trends. Network theory is an extremely powerful modelling and analysis tool, and its full potential in terms of extracting useful information from raw data has yet to be exploited. In the present paper, we argue that well-established network analysis techniques can, and should be applied to the study of language acquisition, in order to reveal otherwise invisible patterns. We show that a key network parameter – the ranked frequency distribution of the links – provides useful information about the data, even though it had been previously neglected in this domain.

Exploration of Network Theory to Evaluate Organizational Resilience

Abstract: Recent disasters and rapid changes in the environment have shown various open issues in organizational resilience, in particular the use of communications. We explore the use of Network Theory to study the robustness of communications in organizations regardless their structure and the communication mechanisms used. We focus on how a collapse in the communication mechanisms affects the communication structure in an organization. We use a case study based on an emergency management plan from a Nuclear Power Plant in Spain. We show that Network Theory along with the number of connected components in a network provides a cost-effective way to analyze the communication infrastructure and organizational relations. Network Theory also allows us to build awareness about the communication and information structure inside an organization, and to design a more robust communication network.

Network Efficiency, the Coase Question and the Banking System

Abstract: The paper applies the notions of network cost and efficiency, drawn from complex network theory, to fully characterize the classic “market versus firm” dichotomy of Coase 1937. Thanks to network analysis, the latter emerges as a wider issue which touches every system of interconnected agents who exchange among themselves physical goods or information. To exemplify their potential, the new tools are briefly applied to the analysis of the banking system by Allen & Gale 2000, where agents exchange liquidity and where troubles in a local area of the network may lead to systemic collapse.