INFO2009 - Information Networks

Process Lecture to identify sources of information, exchange tips and techniques, update the student wiki and contribute to research activities for courseworks (annotated bibliography, poster, information resource)

Graph Theory and Social Networks Tutorial

For COMP60

On social networks and game theory, some research problems

Seminar given as part of social networking course, to give a brief overview of some applied examples game theory used in social network simulation

An analysis of trust in anonymity networks in the presence of adaptive attackers

Introduces extended Crowds protocols. Optional reading

CIP-OSN; Networks as Graphs

Curriculum Innovation Programme - Online Social Networks (UOSM2012) - Networks as Graphs

CIP Online Social Networks: week 5 - social capital

Lecture slides for the Curriculum Innovation module Online Social Networks on the topic of social capital.

Análisis de la incidencia del principio de neutralidad en la conformación de las redes transnacionales de defensa de las Zonas Humanitarias y de Biodiversidad de Curvaradó y Jiguamiandó (1997- 2003)

El presente trabajo analiza cómo a través de la constitución de redes transnacionales de defensa los planteamientos en torno a la neutralidad activa se visibilizan por medio de las campañas de mediatización del caso en las comunidades de Curvaradó y Jiguamiandó

Bayesian Networks with Infer.NET

Presentation at AIC away day 2014

Data-Driven Text Generation using Neural Networks & Provenance is Complicated and Boring — Is there a solution?

Title: Data-Driven Text Generation using Neural Networks Speaker: Pavlos Vougiouklis, University of Southampton Abstract: Recent work on neural networks shows their great potential at tackling a wide variety of Natural Language Processing (NLP) tasks. This talk will focus on the Natural Language Generation (NLG) problem and, more specifically, on the extend to which neural network language models could be employed for context-sensitive and data-driven text generation. In addition, a neural network architecture for response generation in social media along with the training methods that enable it to capture contextual information and effectively participate in public conversations will be discussed. Speaker Bio: Pavlos Vougiouklis obtained his 5-year Diploma in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in 2013. He was awarded an MSc degree in Software Engineering from the University of Southampton in 2014. In 2015, he joined the Web and Internet Science (WAIS) research group of the University of Southampton and he is currently working towards the acquisition of his PhD degree in the field of Neural Network Approaches for Natural Language Processing. Title: Provenance is Complicated and Boring — Is there a solution? Speaker: Darren Richardson, University of Southampton Abstract: Paper trails, auditing, and accountability — arguably not the sexiest terms in computer science. But then you discover that you've possibly been eating horse-meat, and the importance of provenance becomes almost palpable. Having accepted that we should be creating provenance-enabled systems, the challenge of then communicating that provenance to casual users is not trivial: users should not have to have a detailed working knowledge of your system, and they certainly shouldn't be expected to understand the data model. So how, then, do you give users an insight into the provenance, without having to build a bespoke system for each and every different provenance installation? Speaker Bio: Darren is a final year Computer Science PhD student. He completed his undergraduate degree in Electronic Engineering at Southampton in 2012.

Neural networks of human nature and nurture

Neural network methods have facilitated the unification of several unfortunate splits in psychology, including nature versus nurture. We review the contributions of this methodology and then discuss tentative network theories of caring behavior, of uncaring behavior, and of how the frontal lobes are involved in the choices between them. The implications of our theory are optimistic about the prospects of society to encourage the human potential for caring.