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Hybrid forms of international criminal justice have been lauded for combining the political and procedural legitimacy of international tribunals with increased attention to the local contexts where mass crimes occurred. This work critically examines the hybrid legal structure of the Special Court for Sierra Leone, a novel post-conflict institution empowered to draw from both international and Sierra Leonean law. Although formally hybrid, the Court neglects domestic law in practice, suggesting that “hybridity” refers more to a rhetorical strategy aimed at legitimating its work than to its ontological status. By symbolically including and substantively excluding domestic law, the court's legal structure inadvertently resembles a colonial form of legal pluralism rather than a hybrid jurisdiction.

There is a strong academic and professional interest in the changing business model of LCCs in Europe. Recently, even Ryanair which is often considered a European LCC role model has departed from the point-to-point paradigm by offering transfers within its own network. We first provide a general overview of recent changes in the business model of airlines that used to be categorized as LCCs. We then add to existing studies on LCC network strategies toward building connections. While we distinguish different approaches to accommodate transfer passengers, our analysis focuses on mesh networks as an airline network topology other than hub-and-spoke networks to provide online connections. A schedule analysis of Ryanair’s direct and indirect services at its base at Porto airport exemplifies that a mesh network might allow LCCs to go beyond stand-alone operations to become network carriers without requiring a complete transition of the generic LCC business strategy.

This chapter provides a deep dive into knowledge networks. The authors provide an inclusive definition of a knowledge network. A knowledge network includes nodes as sources and targets of knowledge, relationships as knowledge links, and messages as knowledge transactions and flows. The authors note how knowledge networks differ from other types of networks, specifically their dynamic and chaotic state and continuous transactions. These peculiarities reflect the economic properties and behaviors of knowledge. The elements of networks described in Chapter 2 are elaborated for knowledge networks. The chapter calls out knowledge network domains, geographies, typologies, nodes, messages, and relationships.

Tourism studies have conceptualized social media as artifacts and networks of tangible objects based on neat distinctions and categorizations. These neat ontological distinctions and categorizations have been discussed within the academic field of actor-network theory. Several scholars have most significantly investigated the spatialities of messier ways of conceptualizing and approaching societal objects and the trajectories of societal phenomena. Efforts are being made to widen the ontological register that has traditionally dominated social science research, including tourism studies. The purpose of this chapter is to address and problematize the social media pertaining to tourism, focusing on a research project as analytical and methodological lens.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

This chapter focuses on scientific and research networks. All six facets of knowledge networks are described. The importance of three facets is called out, including domain, knowledge, and nodes. The authors provide profiles of five networks, including an invisible college in chemistry, a professional association network in engineering, an editorial network, a national biological observation collaboration, and a national science museum.

This study focuses on how the creation of a new market identity, defined here by the social categories that specify what to expect of products and organizations, helps legitimize normatively illegitimate products and thereby facilitate the formation of markets for these products. A product is given a legitimate market identity by recombining existing product and status categories in a way that is both isomorphic with and differentiated from these preexisting categories. I argue that the creation of a new market identity helped create a market for feature films that combined legitimate comedy and illegitimate pornography following the legalization of pornography in Denmark in 1969. Topological analyses of the cultural content of all the film posters used to promote Danish films between 1970 and 1978, and regression analyses of the status of the actors appearing in these films document the importance of market identity in legitimizing illegitimacy.

The variance targeting estimator (VTE) for generalized autoregressive conditionally heteroskedastic (GARCH) processes has been proposed as a computationally simpler and misspecification-robust alternative to the quasi-maximum likelihood estimator (QMLE). In this paper we investigate the asymptotic behavior of the VTE when the stationary distribution of the GARCH process has infinite fourth moment. Existing studies of historical asset returns indicate that this may be a case of empirical relevance. Under suitable technical conditions, we establish a stable limit theory for the VTE, with the rate of convergence determined by the tails of the stationary distribution. This rate is slower than that achieved by the QMLE. The limit distribution of the VTE is nondegenerate but singular. We investigate the use of subsampling techniques for inference, but find that finite sample performance is poor in empirically relevant scenarios.