Network theory

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

Collaborative Innovating – The Potential of Street Art to Shape Spaces

Abstract: Research on network theory and innovativeness often addresses innovations. However, network theory lacks theory on innovativeness (the ability to participate in innovation processes), whereas the latter lacks descriptions of network theory. This paper seeks to describe these desiderata, to combine these theoretical research approaches, and to enrich Weis et al.’s (2017) Innovativeness model with network theory in order to describe collaborative innovating. To do this, we use the example of street art, which we view as a form of geomedia that can be created collaboratively as innovations. We will use predominantly the example of the street artist Blek le Rat, whose presumptive embeddedness in social networks we see as an important part of his innovativeness. The final enriched Innovativeness model can contribute to explaining other innovation processes in geography and beyond, to promoting people’s abilities to participate in innovation-related communication processes, to changing spatial meanings and to shaping societies.

Mapping the Australian Banking System Network

Abstract: An important aspect of the banking system is the network of exposures between individual financial institutions. Using regulatory data, this article maps the network of large bilateral exposures between Australian financial institutions and then analyses its basic features using the tools of network theory. Many of the features of the Australian network are consistent with those of financial networks in other countries. In particular, most institutions in the network are only linked to a small number of other institutions, while a few, typically larger, institutions are linked to a large number of other institutions. An understanding of the banking system network can assist in identifying contagion risks and assessing financial stability.

Network Structure and Logistics Efficiency: A New Approach to Analyse Supply Chain System

Abstract: The study of organizational structure and function of supply chain system is receiving abundant attention in recent years. Network theory has become a powerful approach to provide insight analysis of the structure-activity relation in supply chain system. In this paper, a new method to study the efficiency of logistics processes in supply chain system from the perspective of topology is proposed. By considering the stochasticity of customer demands and delivery delay caused by processing capacity, a logistic algorithm is applied on two kinds of network models, Uncorrelated and Clustering Configuration Model, for supply chain system. Simulation results indicate that the logistics dynamics of supply chain system are highly related to the connection features, especially the clustering structure. Using two measurements of the supply chain system, we show that the Clustering model could provide better performance than Uncorrelated network with shorter Order lead-time and higher Delivery efficiency.

From mass communication to new media: a network perspective

Abstract: The purpose of this article is to determine the structural form of new online media, with network theory as the main framework of analysis. We argue that this form is a consequence of the shifting of the fixed positions of emission and reception that characterize classical media at a fundamental level. Based on technological, economic, legislative and social aspects, we show that the historical evolution which led to new media may be described by the concept of indifferentiation. This concept characterizes the historical transition between mass media and new media, but also the transition between so called web 1.0 web 2.0. This is a well-known dynamic within the theory of complex systems. Recently, a similar dynamic occurred in the structure of new media. We use these results as a basis to show that the form of new media is identical to that of space of networks, in the sense that this expression is acquired from modern network theory. We then show the social dynamic that determines this form of new media. We conclude that the evolution of new media simultaneously introduces and accelerates a process of social indifferentiation