5 research outputs found
Competitive Dynamics between Physical and Virtual Markets in Multiplex Networks
Despite having interesting results of analyzing the adoption of e-commerce using social networks, diffusion does not occur in a single-layered network. There is sufficient evidence that game theory, complex networks and Theory of Planned Behavior are suitable frameworks to represent some part of the dynamics of innovation diffusion. However, it is necessary to integrate this methodological triplet to accept that an emergent behavior is generated by more real causes. We analyzed the effect of the multiplex topology when people decide to make transactions through virtual or physical channels, and found that connectivity is a key issue when managing the agent’s behavior. This also translates into greater coordination in the agents' decisions. When a multiplex is formed by at least one network with very efficient information flow, this network will govern the dynamics affecting channel selection and will also reduce transaction uncertainty. In addition, we found that investing in connectivity is worthwhile when trust is low in at least one channel; otherwise, it does not have enough impact to increase current transactions. This article makes a significant methodological contribution by showing a new way to analyze the impact of multiplex social networks, as well as a practical contribution by evidencing the effects of the structures on both intentions and actions
A Novel Location Free Link Prediction in Multiplex Social Networks
In recent decades, the emergence of social networks has enabled internet
service providers (e.g., Facebook, Twitter and Uber) to achieve great
commercial success. Link prediction is recognized as a common practice to build
the topology of social networks and keep them evolving. Conventionally, link
prediction methods are dependent of location information of users, which
suffers from information leakage from time to time. To deal with this problem,
companies of smart devices (e.g., Apple Inc.) keeps tightening their privacy
policy, impeding internet service providers from acquiring location
information. Therefore, it is of great importance to design location free link
prediction methods, while the accuracy still preserves. In this study, a novel
location free link prediction method is proposed for complex social networks.
Experiments on real datasets show that the precision of our location free link
prediction method increases by 10 percent
Spreading processes in Multilayer Networks
Several systems can be modeled as sets of interconnected networks or networks
with multiple types of connections, here generally called multilayer networks.
Spreading processes such as information propagation among users of an online
social networks, or the diffusion of pathogens among individuals through their
contact network, are fundamental phenomena occurring in these networks.
However, while information diffusion in single networks has received
considerable attention from various disciplines for over a decade, spreading
processes in multilayer networks is still a young research area presenting many
challenging research issues. In this paper we review the main models, results
and applications of multilayer spreading processes and discuss some promising
research directions.Comment: 21 pages, 3 figures, 4 table