Kyosuke Tanaka

RESEARCH INTERESTS

Kyosuke (pronounced KYO-s-kay) studies social and communication networks to examine why and how people perceive, activate, and leverage their social contacts to accomplish their personal and collective goals.

His current research explores cognitive and action errors that occur in information-sharing processes. By leveraging theories on organizational errors and social networks, it provides a novel conceptual framework and empirical investigations as to why individuals make errors when they perceive and act on their networks as they share information. Specifically, his research differentiates cognitive and action network errors. Cognitive errors refer to misalignments between perceived and observed ties in communication networks. Action errors are unintentional deviations from achieving the goal of sharing information or queries with someone to whom they are only indirectly connected via their social network and where this deviation was potentially avoidable. Overall, his research projects offer insights into what factors impact cognitive and action network errors.

1. Examining the role of formal and informal structures in realized interactions at a company
2. Creating an R package of a network sampling method
3. Quantifying an individual ability to mobilize their social network
4. Examining how and why people misperceive and miss communication links in communication networks
5. Investigating package ecosystems in programming langugage communities
6. Indetifying the factors that explain "who bullies whom" in school

PUBLICATIONS

Peer-reviewed Articles

We examined how effectively space crew members and mission support can share information as needed in their communication network under different communicaiton delay conditions. Our results show that network acuity (i.e., an individual’s ability to leverage their perceptions of the network to route information effectively) among crew members is higher than mission support, especially under communication delays.

Whereas the benefit of creating a new contact directly goes to you, increasing communication frequency with your existing contact can benefit your partner or neighbors. Our findings are fairly consistent based on our simulations of networking approaches on a diverse set of real-world communication networks.

Using data-driven computer simulations, we study the effect of networking strategies on efficiency in communication networks. We found there is a clear trade-off between the studied networking strategies and efficiency.

Report

In this paper, we assess the impact of social media on social and economic development, using an analytical framework that draws on social networks and social learning.

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