Human activities can now be captured in real-time using sensor technology. The growth in sensor applications and smart mobile phones that come equipped with built-in sensors has led to the integration of sensors with social networks. These days, people are heavily dependent on online social networks (OSNs); they migrate their real-life activities online through various types of multimedia such as photos, videos, text, etc., which turns OSNs into a soft-sensory resource about users' events. The users use these forms of multimedia to tell their friends about their daily lives. This social network data can be crawled to build personal context-aware stories about individuals. However, the number of social users and the quantity of multimedia that is produced on social media are both growing exponentially, which leads to the challenge of information overload on OSNs. The information needed for stories, such as events and their locations, is not fully available on user's own profile. It is true that part of the information can be retrieved from the user's timeline, but a large number of events and related multimedia information is only available on friends' profiles. In this thesis, we focus on identifying a subset of close friends in order to enrich the content of the story. The amount of time people spend together has been proven to play a key role in determining close ties between people. We propose a DST (Days Spent Together) algorithm to find a user's closest friends based on the days they spent together interacting face-to-face. With the closest friends information, we are able to find additional information to complement what was found on the user's own profile, as well as to personalize the stories to ensure that they are only about the users and their closest friends. Due to the possibility of multimedia (photos in this thesis) overload for events, we propose to use the duration of events measured by DST, to determine the number of representative photos for each event. Our experiments show that the proposed approach could recognize the close friends of users and rank them from the strongest to the weakest. The results also show that with the proposed method we get days-spent-together values that are close to the corresponding true values provided by users.

The increase in online social network (OSN) usage has led to personal details known as attributes being readily displayed in OSN profiles. This can lead to the profile owners being vulnerable to privacy and social engineering attacks which include identity theft, stalking and re identification by linking. Due to a need to address privacy in OSNs, this thesis presents a framework to quantify the vulnerability of a user¿s OSN profile. Vulnerability is defined as the likelihood that the personal details displayed on an OSN profile will spread due to the actions of the profile owner and their friends in regards to information disclosure. The vulnerability measure consists of three components. The individual vulnerability is calculated by allocating weights to profile attribute values disclosed and neighbourhood features which may contribute towards the personal vulnerability of the profile user. The relative vulnerability is the collective vulnerability of the profiles¿ friends. The absolute vulnerability is the overall profile vulnerability which considers the individual and relative vulnerabilities. The first part of the framework details a data retrieval approach to extract MySpace profile data to test the vulnerability algorithm using real cases. The profile structure presented significant extraction problems because of the dynamic nature of the OSN. Issues of the usability of a standard dataset including ethical concerns are discussed. Application of the vulnerability measure on extracted data emphasised how so called ¿private profiles¿ are not immune to vulnerability issues. This is because some profile details can still be displayed on private profiles. The second part of the framework presents the normalisation of the measure, in the context of a formal approach which includes the development of axioms and validation of the measure but with a larger dataset of profiles. The axioms highlight that changes in the presented list of profile attributes, and the attributes¿ weights in making the profile vulnerable, affect the individual vulnerability of a profile. iii Validation of the measure showed that vulnerability involving OSN profiles does occur and this provides a good basis for other researchers to build on the measure further. The novelty of this vulnerability measure is that it takes into account not just the attributes presented on each individual profile but features of the profiles¿ neighbourhood.

The increase in online social network (OSN) usage has led to personal details known as attributes being readily displayed in OSN profiles. This can lead to the profile owners being vulnerable to privacy and social engineering attacks which include identity theft, stalking and re identification by linking. Due to a need to address privacy in OSNs, this thesis presents a framework to quantify the vulnerability of a user's OSN profile. Vulnerability is defined as the likelihood that the personal details displayed on an OSN profile will spread due to the actions of the profile owner and their friends in regards to information disclosure. The vulnerability measure consists of three components. The individual vulnerability is calculated by allocating weights to profile attribute values disclosed and neighbourhood features which may contribute towards the personal vulnerability of the profile user. The relative vulnerability is the collective vulnerability of the profiles' friends. The absolute vulnerability is the overall profile vulnerability which considers the individual and relative vulnerabilities. The first part of the framework details a data retrieval approach to extract MySpace profile data to test the vulnerability algorithm using real cases. The profile structure presented significant extraction problems because of the dynamic nature of the OSN. Issues of the usability of a standard dataset including ethical concerns are discussed. Application of the vulnerability measure on extracted data emphasised how so called 'private profiles' are not immune to vulnerability issues. This is because some profile details can still be displayed on private profiles. The second part of the framework presents the normalisation of the measure, in the context of a formal approach which includes the development of axioms and validation of the measure but with a larger dataset of profiles. The axioms highlight that changes in the presented list of profile attributes, and the attributes' weights in making the profile vulnerable, affect the individual vulnerability of a profile. iii Validation of the measure showed that vulnerability involving OSN profiles does occur and this provides a good basis for other researchers to build on the measure further. The novelty of this vulnerability measure is that it takes into account not just the attributes presented on each individual profile but features of the profiles' neighbourhood.

The rapid development of information and telecommunication technologies (ICTs) in the 21st century has changed society at all levels: individual, group, company and government. As a result, there has been a significant rise in the availability of ICTs and related technologies around the globe, including in developing countries. ICTs include internet infrastructure such as the use of mobile devices, the internet connection and the affiliated platforms of online social networks (OSNs). The provision of online products and services by the government is known as electronic e-government. From a theoretical literature review it was found that research emphasising the use of OSNs in e-government and OSNs in Oman was scarce. Further, studies investigating and explaining the use of OSNs in the public sector and government were few. This motivated the researcher to explore and understand this issue, leading to the formation of the aim of this research: To explore and understand the use of e-government/OSNs in a public sector organisation in a developing country, in this case, government organisations in Oman. To achieve this, a comprehensive and detailed literature review of e-government/OSN research in developed, developing and Gulf countries was completed. Additionally, related theories on ICT diffusion and adoption, institutional theory and culture theory were used as a lens through which a better understanding of e-government/OSNs would be provided and to develop the initial conceptual framework that was then applied in practice. To acquire the data for this research a qualitative research approach involving the use of a case study was employed. The data collection techniques used included observations, interviews and a review of related archival documents. A total of 44 people were interviewed and an additional 37 participants assisted with the observational part of this study. The research results revealed that government organisations adopted OSNs to explore the use of the technology and to cope with the increasing public demands of government. The study revealed many benefits for government organisations after OSNs were adopted, including greater public interaction and participation, increased information transparency, better understanding and increased public awareness of government services, leading to better work efficiency and effectiveness. Further, public interaction and participation was noted to be important for the government as it helped government employees be more responsible and accountable for their work actions. Additionally, due to the application of OSNs, organisational and national cultural changes were identified that led to government work process and procedures being amended such that there was more public participation and interaction. This led to an influence of government policies and decision-making with regards to public services. After the applied part of this study, the initial conceptual framework was revised to reflect the practical aspects of this research. The contributions of this study are: for e-government research, it will add to the increasing body of knowledge in this area. For Omani theoretical literature, it will widen the boundaries of knowledge and OSN use, particularly for the Omani government and other governments in developing countries that seek to use e-government solutions. In countries where cultural aspects are important, this study can provide insights that may not have been considered before. Further, this study has shown that understanding organisational changes and the cultural contexts with respect to e-government and OSN use is important; therefore, more knowledge in this area can be provided by this study. For policymakers, the contribution of this research is the provision of an understanding of a wide range of issues surrounding the adoption of new technologies. In turn, this can assist policymakers with policy-formation such that their institutional purposes and roles can be fulfilled. This study contributes to private sector organisations including internet and OSN providers by explaining and illustrating the benefits of using OSNs in a developing country with an autocratic regime that seeks to provide citizen benefits.

More than half a billion people use Online Social Network Sites (OSNS) today. They disclose personally identifiable information such as names, date of birth, email address, phone numbers, and home address on their profiles. Some OSNS users also disclose their political and religious views and personal interests. The huge commercial potential of OSNS users’ information and the integration of OSNS with third party advertisers and/or aggregators pose threats to users’ privacy. This thesis reports a study which contributes to our understanding of the form and nature of online privacy by critically analysing the privacy concerns related with the failed launch of Facebook’s advertising tool Beacon. Beacon is an interesting case study because it highlighted the privacy concerns of OSNS users. Qualitative data was gathered from 29 weblogs (blogs) representing user opinions (492 comments) published between 6th November 2007(when Beacon was launched) and 28th February 2008 (when commentary had dwindled). A thematic analysis of the blogs contributed in the development of a taxonomy of privacy concerns of OSNS users specifically related with the third party information use. Noticeably, the concerns such as commercialism, terms of service (TOS), lack of user control, lack of user awareness and data protection influence user perceptions of online privacy. The limitations and key implications for designers and service providers of OSNS are also discussed.