Creative connectivity project – A network based approach to understand correlations between interdisciplinary group dynamics and creative performance

Creativity, technology and innovation are fundamental driving forces that often trigger behavioural and cultural changes in our societies. Several studies on creative collaborations emphasise the interconnection between the creation of innovation and interdisciplinarity. Studying the interdisciplinary processes through which innovation is generated is thus of fundamental importance. The Creative Connectivity project investigates the links between group dynamics and interdisciplinary creative processes in the attempt to identify the emergence of meaningful behavioural patterns. Taking the Innovation Design Engineering (IDE) programme at the Royal College of Art as a case study, the research addresses the need to develop a more rigorous understanding of the creation of innovation fostered by diversity, a risk-taking culture and acceptance of failure. A novel approach combining data science and network theory has been developed to monitor, quantify and analyse specific dynamics of interdisciplinary groups of students at the IDE programme. The focus was to investigate the network contribution to the performance of a team in an environment that is naturally interdisciplinary by using data respectively from a bespoke developed web application and a conversation activity monitoring system. Initial findings have shown the potential of this approach to unveiling the hidden mechanisms behind creativity and the production of innovation through interdisciplinary approaches. The results of this research could be of interest for universities, research centres, start-ups incubators, and policymakers who want to foster creativity and trigger innovative processes

The brokerage role of small states and territories in global corporate networks

Global economic activity is networked through cross‐national linkages between firm headquarters, branches, and subsidiaries. Brokerage emerges as a key territorial function of this network, with some places acting as gateways or intermediaries for flows of global knowledge, information, or trade. This function is particularly salient for small states and territories leveraging the benefits of borrowed size by offering global professional services, warehousing, logistics, shipping, and finance to wealthy nations or high net individuals. Nonetheless, to date our understanding of how small states and territories facilitate wealth accumulation is limited to broad concepts of their role as “gateways” or “brokers.” Drawing on a typology of brokerage and a network analysis applied to the ties between approximately 700,000 firm headquarter and subsidiary locations of 13 of the world's largest stock exchanges, we explore the brokerage role of small states and territories through case studies of Luxembourg, Singapore, Hong Kong, and Panama. Brokerage is found to play an important role in the economy of all four. We argue that each of these small states and territories is uniquely positioned as a broker in global corporate networks, but that this role differs according to geo‐economic and political positionality

The role of tax havens and offshore financial centres in shaping corporate geographies: an industry sector perspective

This paper investigates the role of tax havens and offshore financial centres (THOFC) in the global economy. Network analysis of 24 industry sectors suggests that THOFC feature prominently in knowledge-intensive activities such as pharmaceuticals, biotechnology and semiconductors, and are least significant in industrial activities such as automobiles and consumer durables, and place-bound activities such as real estate and retailing. Contrasting with the notion that most THOFC are ‘rogue’ offshore territories, the most significant are either continental nation-states or British territorial dependencies. It is concluded that global firm networks often mimic the geographies of taxation more than actual production or consumption activities

Multilayer modeling of adoption dynamics in energy demand management.

Due to the emergence of new technologies, the whole electricity system is undergoing transformations on a scale and pace never observed before. The decentralization of energy resources and the smart grid have forced utility services to rethink their relationships with customers. Demand response (DR) seeks to adjust the demand for power instead of adjusting the supply. However, DR business models rely on customer participation and can only be effective when large numbers of customers in close geographic vicinity, e.g., connected to the same transformer, opt in. Here, we introduce a model for the dynamics of service adoption on a two-layer multiplex network: the layer of social interactions among customers and the power-grid layer connecting the households. While the adoption process-based on peer-to-peer communication-runs on the social layer, the time-dependent recovery rate of the nodes depends on the states of their neighbors on the power-grid layer, making an infected node surrounded by infectious ones less keen to recover. Numerical simulations of the model on synthetic and real-world networks show that a strong local influence of the customers' actions leads to a discontinuous transition where either none or all the nodes in the network are infected, depending on the infection rate and social pressure to adopt. We find that clusters of early adopters act as points of high local pressure, helping maintaining adopters, and facilitating the eventual adoption of all nodes. This suggests direct marketing strategies on how to efficiently establish and maintain new technologies such as DR schemes

Interacting Discovery Processes on Complex Networks

Innovation is the driving force of human progress. Recent urn models reproduce well the dynamics through which the discovery of a novelty may trigger further ones, in an expanding space of opportunities, but neglect the effects of social interactions. Here we focus on the mechanisms of collective exploration and we propose a model in which many urns, representing different explorers, are coupled through the links of a social network and exploit opportunities coming from their contacts. We study different network structures showing, both analytically and numerically, that the pace of discovery of an explorer depends on its centrality in the social network. Our model sheds light on the role that social structures play in discovery processes

Simplicial models of social contagion

Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to characterize social contagion processes such as opinion formation or the adoption of novelties, where complex mechanisms of influence and reinforcement are at work. Here we introduce a higher-order model of social contagion in which a social system is represented by a simplicial complex and contagion can occur through interactions in groups of different sizes. Numerical simulations of the model on both empirical and synthetic simplicial complexes highlight the emergence of novel phenomena such as a discontinuous transition induced by higher-order interactions. We show analytically that the transition is discontinuous and that a bistable region appears where healthy and endemic states co-exist. Our results help explain why critical masses are required to initiate social changes and contribute to the understanding of higher-order interactions in complex systems.Comment: 32 pages, 4 figures, 1 table, Supplementary Informatio

Group interactions modulate critical mass dynamics in social convention

How can minorities of individuals overturn social conventions? The theory of critical mass states that when a committed minority reaches a critical size, a cascade of behavioural changes can occur, overturning apparently stable social norms. Evidence comes from theoretical and empirical studies in which minorities of very different sizes, including extremely small ones, manage to bring a system to its tipping point. Here, we explore this diversity of scenarios by introducing group interactions as a crucial element of realism into a model for social convention. We find that the critical mass necessary to trigger behaviour change can be very small if individuals have a limited propensity to change their views. Moreover, the ability of the committed minority to overturn existing norms depends in a complex way on the group size. Our findings reconcile the different sizes of critical mass found in previous investigations and unveil the critical role of groups in such processes. This further highlights the importance of the emerging field of higher-order networks, beyond pairwise interactions

Casimir forces and non-Newtonian gravitation

The search for non-relativistic deviations from Newtonian gravitation can lead to new phenomena signalling the unification of gravity with the other fundamental interactions. Various recent theoretical frameworks indicate a possible window for non-Newtonian forces with gravitational coupling strength in the micrometre range. The major expected background in the same range is attributable to the Casimir force or variants of it if dielectric materials, rather than conducting ones, are considered. Here we review the measurements of the Casimir force performed so far in the micrometre range and how they determine constraints on non-Newtonian gravitation, also discussing the dominant sources of false signals. We also propose a geometry-independent parameterization of all data in terms of the measurement of the constant c. Any Casimir force measurement should lead, once all corrections are taken into account, to a determination of the constant c which, in order to assess the accuracy of the measurement, can be compared with its more precise value known through microscopic measurements. Although the last decade of experiments has resulted in solid demonstrations of the Casimir force, the situation is not conclusive with respect to being able to discover new physics. Future experiments and novel phenomenological analysis will be necessary to discover non-Newtonian forces or to push the window for their possible existence into regions of the parameter space which theoretically appear unnatural.Comment: Also available at http://www.iop.org/EJ/abstract/1367-2630/8/10/23

First observation of the KS->pi0 gamma gamma decay

Using the NA48 detector at the CERN SPS, 31 KS->pi0 gamma gamma candidates with an estimated background of 13.7 +- 3.2 events have been observed. This first observation leads to a branching ratio of BR(KS->pi0 gamma gamma) = (4.9 +- 1.6(stat) +- 0.9(syst)) x 10^-8 in agreement with Chiral Perturbation theory predictions.Comment: 10 pages, 4 figures submitted to Phys. Lett.