Hierarchical team structure and multidimensional localization (or siloing) on networks

by   Laurent Hébert-Dufresne, et al.

Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms at different scales - hubs in otherwise sparse organisations, large dense teams, or global core-periphery structure - but we lack an understanding of how these different structures interact. Here we bridge the gap between the mathematical literature on localization of spreading dynamics and the more applied literature on knowledge silos in organizational interaction networks. To do so, we introduce a new model that considers a layered structure of teams to unveil a new form of hierarchical localization (i.e., the localization of information at the top or center of an organization) and study its interplay with known phenomena of mesoscopic localization (i.e., the localization of information in large groups), k-core localization (i.e., around denser k-cores) and hub localization (i.e., around high degree stars). We also include a complex contagion mechanism by considering a general infection kernel which can depend on hierarchical level (influence), degree (popularity), infectious neighbors (social reinforcement) or team size (importance). This general model allows us to study the multifaceted phenomenon of information siloing in complex organizational interaction networks and opens the door to new optimization problems to promote or hinder the emergence of different localization regimes.


page 1

page 6


Detecting and Optimising Team Interactions in Software Development

The functional interaction structure of a team captures the preferences ...

Hierarchical structure and the prediction of missing links in networks

Networks have in recent years emerged as an invaluable tool for describi...

A Clarified Typology of Core-Periphery Structure in Networks

Core-periphery structure, the arrangement of a network into a dense core...

k-core decomposition: a tool for the visualization of large scale networks

We use the k-core decomposition to visualize large scale complex network...

Communication and Personality Profiles of Global Software Developers

Context: Prior research has established that a small proportion of indiv...

Building large k-cores from sparse graphs

A popular model to measure network stability is the k-core, that is the ...

Influence of a range of interaction among agents on efficiency and effectiveness of knowledge transfer within an organisation

In this study we examined how the size of non-formal groups between orga...

Please sign up or login with your details

Forgot password? Click here to reset