Martin James Chorley

• Lecturer at Cardiff University

Untile recently crowdsourcing has been primarily conceived as an online activity to harness resources for problem solving. However the emergence of opportunistic networking (ON) has opened up crowdsourcing to the spatial domain. In this paper we bring the ON model for potential crowdsourcing in the smart city environment. We introduce cognitive fea...

In this paper we consider whether people with similar personality traits have a preference for common locations. Due to the difficulty in tracking and categorising the places that individuals choose to visit, this is largely unexplored. However, the recent popularity of location-based social networks (LBSNs) provides a means to gain new insight int...

Social media and the resulting tidal wave of available data have changed the ways and methods researchers analyze communities at scale. But the full potential for social scientists (and others) is not yet achieved. Despite the popularity of social media analysis in the past decade, few researchers invest in cross-platform analyses. This is a major...

The Axelrod library is an open source Python package that allows for reproducible game theoretic research into the Iterated Prisoner's Dilemma. This area of research began in the 1980s but suffers from a lack of documentation and test code. The goal of the library is to provide such a resource, with facilities for the design of new strategies and i...

Large numbers of today’s businesses use social media in advertising. There is a belief in a great opportunity, even if return on investment is difficult to quantify. To fill this gap we consider a cross-media-platform-analysis across Facebook, Twitter and Foursquare. Rationale for and against different application of different characteristics withi...

Until recently crowdsourcing has been primarily conceived as an online activity to harness resources for problem solving. However, the emergence of Opportunistic Networking (ON) has opened up crowdsourcing to the spatial domain. In this article, we bring the ON model for potential crowdsourcing in the smart city environment. We introduce cognitive...

Location-based social networks (LBSNs) are a recent phenomenon for sharing a presence at everyday locations with others and have the potential to give new insights into human behaviour. To date, due to barriers in data collection, there has been little research into how our personality relates to the categories of place that we visit. Using the Fou...

We introduce the concept of extended mind crowd sourcing (EMC) which capitalises on the way in which humans naturally extend their cognition into the environment, using external objects such as smartphones and applications to augment their mental capacity. This phenomenon means that human computation is embedded in data and devices, representing a...

Social micro-blogging systems such as Twitter are designed for rapid and informal communication from a large potential number of participants. Due to the volume of content received, human users must typically skim their timeline of received content and exercise judgement in selecting items for consumption, necessitating a selection process based on...

Current applications tend to use personal sensitive information to achieve better quality with respect to their services. Since the third parties are not trusted the data must be protected such that individual data privacy is not compromised but at the same time operations on it would be compatible. A wide range of data analysis operations entails...

In this paper we investigate the properties of a cognitive heuristics based approach, by way of which the mobile devices of users can become aware of the physical environment surrounding them. Cognitive heuristics are the mental models used in cognitive psychology to describe how human brains efficiently process the huge amount of information const...

The study of personality can now provide us with greater insights into human behaviour, when combined with data from social and mobile networks. In this paper we study the relationship between the types of locations that Foursquare users visit and their personality. Using the five-factor personality model, personality profiles were obtained for 173...

Venues are often described by their type and characteristics, while their level of appreciation by users is indicated through a score (star rating). However the judgement on a particular venue by an individual may more influenced by the individual's experience and personality. In psychology, the five-factor model of personality, or 'Big Five' model...

Enquiring about and understanding what is going on around ourselves is a fundamental and natural human behaviour. The psychological concept of sense of place considers our individual perceptions of particular locations at particular times. In addition to the immediate properties of our environment, it is also strongly dependent on our individual tr...

Increasingly popular location-based services can monitor our geographical positions in real time and so can provide a fundamental source for capturing users feelings and personal attitudes towards a particular place at a particular time. We propose a novel procedure for the representation of places through weighted tag-lists based on user reviews o...

Venues are often described by their type and characteristics, while their level of appreciation by users is indicated through a score ( star rating). However the judgement on a particular venue by an individual may more influenced by the individual's experience and personality. In psychology, the five-factor model of personality, or `Big Five' mode...

Venues are often described by their type and characteristics, while their level of appreciation by users is indicated through a score (star rating). However the judgement on a particular venue by an individual may more influenced by the individual's experience and personality. In psychology, the five-factor model of personality, or 'Big Five' model...

Through web sites such as Twitter, micro-blogging has shown a remarkable growth, demonstrating the human desire to share and consume information and knowledge. At the same time, the capabilities of mobile devices such as smart phones has considerably increased, opening up new ways to communicate and share content. In particular it is becoming feasi...

We present results from a web-based experiment conducted to assess the effect of Twitter metadata on decision making in content consumption. Participants were presented with information concerning two tweets and asked which they would prefer to read. Analysis of the results shows that recognition of the author as being within the readers local netw...

Location-sharing services such as Foursquare provide a rich source of information about the visits of users to locations. In the case of Foursquare, users voluntarily ‘check in’ to places they visit using a mobile application. An analysis of these data may reveal differences in users personality in terms of their mobility habits, preferred places,...

Micro-blogging services have recently been experiencing increasing success among Web users. Differ-ent to traditional online social applications, micro-blogs are lightweight, require small cognitive effort and help share real-time information about personal activities and interests. In this article we explore scalable pushing protocols that are par...

Epidemic type exchange protocols have often been discussed as a means of disseminating information through a network of nodes. These protocols may be applied to mobile opportunistic ad-hoc networks where the goal is not total dissemination of all information to all nodes but where nodes are interested in attaining specific content for which they ha...

This paper considers an adaptive data dissemination scenario that applies an autonomic trust protocol to a network of agents. The protocol uses social network structures to incentivize cooperation. Validation is conducted through simulation of content sharing between peers which uses similarity of interest between peers to define payoff. Positive c...

The mixing of shared memory and message passing programming models within a single application has often been suggested as a method for improving scientific application performance on clusters of shared memory or multi-core systems. DL_POLY, a large scale molecular dynamics application programmed using message passing programming has been modified...

Hybrid programming, whereby shared-memory and message-passing programming techniques are combined within a single parallel application, has often been discussed as a method for increasing code performance on clusters of symmetric multiprocessors (SMPs). This paper examines whether the hybrid model brings any performance benefits for clusters based...