Information technology and social cohesion : a tale of two villages

Acknowledgements This research was made possible by a grant from the EPSRC “Dot.Rural Digital Economy Hub” (EP/G066051/1) at the University of Aberdeen and EPSRC Communities and Culture Network+ (EP/K003585/1).Peer reviewedPostprin

A Survey of Location Prediction on Twitter

Locations, e.g., countries, states, cities, and point-of-interests, are central to news, emergency events, and people's daily lives. Automatic identification of locations associated with or mentioned in documents has been explored for decades. As one of the most popular online social network platforms, Twitter has attracted a large number of users who send millions of tweets on daily basis. Due to the world-wide coverage of its users and real-time freshness of tweets, location prediction on Twitter has gained significant attention in recent years. Research efforts are spent on dealing with new challenges and opportunities brought by the noisy, short, and context-rich nature of tweets. In this survey, we aim at offering an overall picture of location prediction on Twitter. Specifically, we concentrate on the prediction of user home locations, tweet locations, and mentioned locations. We first define the three tasks and review the evaluation metrics. By summarizing Twitter network, tweet content, and tweet context as potential inputs, we then structurally highlight how the problems depend on these inputs. Each dependency is illustrated by a comprehensive review of the corresponding strategies adopted in state-of-the-art approaches. In addition, we also briefly review two related problems, i.e., semantic location prediction and point-of-interest recommendation. Finally, we list future research directions.Comment: Accepted to TKDE. 30 pages, 1 figur

Location Prediction: Communities Speak Louder than Friends

Humans are social animals, they interact with different communities of friends to conduct different activities. The literature shows that human mobility is constrained by their social relations. In this paper, we investigate the social impact of a person's communities on his mobility, instead of all friends from his online social networks. This study can be particularly useful, as certain social behaviors are influenced by specific communities but not all friends. To achieve our goal, we first develop a measure to characterize a person's social diversity, which we term `community entropy'. Through analysis of two real-life datasets, we demonstrate that a person's mobility is influenced only by a small fraction of his communities and the influence depends on the social contexts of the communities. We then exploit machine learning techniques to predict users' future movement based on their communities' information. Extensive experiments demonstrate the prediction's effectiveness.Comment: ACM Conference on Online Social Networks 2015, COSN 201

Introduction: Creating new worlds out of old texts

Despite initial expectations that globalization would eradicate the need for geographical space and distance, "maps matter" today in ways that were unimaginable a mere two decades ago. Technological advances have brought to the fore an entirely new set of methods for representing and interacting with spatial formations, while the ever-increasing mobility of ideas, capital, and people has created a world in which urban and regional inequalities are being heightened at an accelerating pace. As a result, the ability of any given place to reap the benefits of global socio-technical flows mainly hinges on the forging of connections that can transcend the limits of its material location. In contrast to the traditional "topographic" perspective, the territorial extent of economic and political realms is being increasingly conceived through a "topological" lens: as a set of overlapping reticulations in which the nature and frequency of links among different sites matter more than the physical distances between them. At the same time, a parallel stream of innovation has revolutionized the understanding of space in disciplines such as history, archaeology, classics, and linguistics. Much of this work has been concentrated in the burgeoning field of the "digital humanities", which has been persistently breaking new ground in the conceptualization of past and present places. When seen in the context of globalization-induced dynamics, such developments emphasize the need for developing cartographic approaches that can bring out the inherently networked structure of social space via a lens that is both theoretically integrative and heuristically sharp. We have decided to respond to these analytical and methodological challenges by focusing on ancient Greek literature: a corpus of work that has often been characterized as being free of the constraints imposed by post-Enlightenment cartography, despite setting the foundations of many contemporary map-making methods. In the 12 chapters that follow, we highlight the rich array of representational devices employed by authors from this era, whose narrative depictions of spatial relations defy the logic of images and surfaces that dominates contemporary cartographic thought. There is a particular focus on Herodotus' Histories - a text that is increasingly taken up by classicists as the example of how ancient perceptions of space may have been rather different to the cartographic view that we tend to assume. But this volume also considers the spatial imaginary through the lens of other authors (e.g. Aristotle), genres (e.g. hymns), cultural contexts (e.g. Babylon), and disciplines (e.g. archaeology), with a view to stimulating a broad-based discussion among readers and critics of Herodotus and ancient Greek literature and culture more generally. In fact, many of the disciplinary and conceptual perspectives explored here are at their inception, and have a more general relevance for the wider community of humanities and social science researchers interested in novel mapping techniques. The resulting juxtaposition of more "traditional", philological discussions of space with chapters dedicated to the exploration of new technologies may jar or appear uneven, especially since we have not set out to privilege one method over another. But it is through viewing these different approaches in the round and reading them alongside each other that, we maintain, we can best disrupt customary ways of thinking (and writing) about space and catch a glimpse of new possibilities

FECES STANDARD MONEY: BEYOND TRANSACTIONS

Department of Urban and Environmental Engineering (Convergence of Science and Arts)Feces Standard Money (fSM), is a complementary currency that is different from other currencies in a number of ways. It is the first currency to adopt feces as its standard. In a world where objects and people are thought of as "goods and services," reality is compressed into conceptions of "use value" or "utility???. However, in the fSM system, feces and food waste that have traditionally and culturally been classified as ???human waste??? are used to produce biogas, creating value. Feces then becomes a representation of a new conception of value - one based on abundance instead of scarcity. This study aims to explore how the use of fSM can facilitate a redefinition of sustainable wealth. It begins by exploring neoclassical and modern theories of money and their relationship to the current state of money. It argues that economics??? failure to adequately account for the role of money as a basis of social relations contributes to the current unsustainable economic system. Building on the background and philosophical underpinnings of fSM, it postulates that money based on a feces standard might be a possible solution to developing a monetary system that can serve as the basis of social relations and facilitation of exchange as a means of instigating social change in attitudes towards global challenges like inequality and climate change. Social network analysis is used to investigate the social footprint of fSM in a game simulation of the fSM system. It is found that the mechanisms of fSM has the potential to imbue the network with tight knit connections -knots- that can contribute to a more inclusive monetary system.clos

California Dreaming? Cross-Cluster Embeddedness and the Systematic Non-Emergence of the 'Next Silicon Valley'

The importance of social embeddedness in economic activity is now widely accepted. Embeddedness has been shown to be particularly significant in explaining the trajectory of regional development. Nonetheless, most studies of embeddeddness and its impacts have treated each locale as an independent unit. Following recent calls for the study of cross-cluster social interactions, we look at the consistent failure of numerous localities in the United States with high potential to emulate Silicon Valley and achieve sustained success in the ICT industry. The paper contends that the answer lies in high-technology clusters being part of a larger system. Therefore, we must include in our analysis of their social structure the influence of cross-cluster embeddedness of firms and entrepreneurs. These cross-clusters dynamics lead to self-reinforcing social fragmentation in the aspiring clusters and, in time, to the creation of an industrial system in the United States based on stable dominant and subordinate (feeder) clusters. The paper expands theories of industrial clusters, focusing on social capital, networks, and embeddedness arguments, to explain a world with one predominant cluster region. It utilizes a multimethod analysis of the ICT industry centered in Atlanta, Georgia, as an empirical example to elaborate and hone these theoretical arguments.

What makes people bond?: A study on social interactions and common life points on Facebook

In this paper we aim at understanding if and how, by analysing people's profile and historical data (such as data available on Facebook profiles and interactions, or collected explicitly) we can motivate two persons to interact and eventually create long-term bonds. We do this by exploring the relationship between connectedness, social interactions and common life points on Facebook. The results are of particular importance for the development of technology that aims at reducing social isolation for people with less chances to interact, such as older adults