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Hierarchical effects facilitate spreading processes on synthetic and empirical multilayer networks

PLoS ONE

Doyle, Casey L.; Gunda, Thushara G.; Naugle, Asmeret B.

In this paper we consider the effects of corporate hierarchies on innovation spread across multilayer networks, modeled by an elaborated SIR framework. We show that the addition of management layers can significantly improve spreading processes on both random geometric graphs and empirical corporate networks. Additionally, we show that utilizing a more centralized working relationship network rather than a strict administrative network further increases overall innovation reach. In fact, this more centralized structure in conjunction with management layers is essential to both reaching a plurality of nodes and creating a stable adopted community in the long time horizon. Further, we show that the selection of seed nodes affects the final stability of the adopted community, and while the most influential nodes often produce the highest peak adoption, this is not always the case. In some circumstances, seeding nodes near but not in the highest positions in the graph produces larger peak adoption and more stable long-time adoption.

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TYPE Journal Article YEAR 2021
ScopusOSTIDOI

A Complex Systems Approach to Develop a Multilayer Network Model for High Consequence Facility Security

Springer Proceedings in Complexity

Williams, Adam D.; Birch, Gabriel C.; Caskey, Susan A.; Gunda, Thushara G.; Wingo, Jamie; Adams, Thomas

Protecting high consequence facilities (HCF) from malicious attacks is challenged by today’s increasingly complex, multi-faceted, and interdependent operational environments and threat domains. Building on current approaches, insights from complex systems and network science can better incorporate multidomain interactions observed in HCF security operations. These observations and qualitative HCF security expert data support invoking a multilayer modeling approach for HCF security to shift from a “reactive” to a “proactive” paradigm that better explores HCF security dynamics and resilience not captured in traditional approaches. After exploring these multi-domain interactions, this paper introduces how systems theory and network science insights can be leveraged to describe HCF security as complex, interdependent multilayer directed networks. A hypothetical example then demonstrates the utility of such an approach, followed by a discussion on key insights and implications of incorporating multilayer network analytical performance measures into HCF security.

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TYPE Conference Poster YEAR 2021
ScopusOSTI
Results 26–50 of 89
Results 26–50 of 89