Johan Kristiansson

An Architecture for Mobile Social Networking Applications

Mobile Semantic Web provides a new way of developing context-aware social networking applications. Social networking applications are changing the way of communication by using user’s context-information. For example, micro-blogging has become a smart way of conveying the current situation and activity by using user context. There is currently a significant difference between using social networking applications on a static computer compared to a mobile device, even if current mobile devices are powerful and have good connectivity. The difference is primarily related to the mobility aspect since the user contexts may change more frequently and the user may not be able to interact with the mobile device. In this paper we identify common characteristics of current social networking applications and how they attract users. Finally, we propose an agent-based system architecture that is based on a distributed platform for developing semantic and semi-automated mobile social networking applications.

Creating dynamic groups using context-awareness

This article presents the conceptual communication model of dynamic groups, that dynamically utilizes three traditional communication metaphors through the use of context-based information. Dynamic groups makes creation, management and usage of groups easy. It enables social network structures to be maintained in both virtual and face-to-face settings as well as in the combination thereof. This article defines the dynamic management of advanced contact lists which can include presence and status information, a/synchronous multimedia communication tools, and methods for structuring social networks. It also contains an initial evaluation and a proposed architecture for technical realisation.

Enriching and Simplifying Communication by Social Prioritization

This paper presents a framework for Aggregated Social Graphs, the ASG Framework, for developing applications that harness information available on social networking sites and telecom platforms to make communication simpler and richer. The framework aggregates users social graph by harnessing contact and social information from multiple communication environments and then calculating the social strength between the users, based on the users communication history. The framework discovers communication patterns in different level which is eventually used to simplify and enhance communication services by inviting appropriate users for collaboration, selecting suitable tools for communication and prioritizing information flows over the cloud. The framework also enables new types of applications such as social search clients, smart dialers or contact applications.

Dynamic Media Distribution in Ad-hoc Social Networks

This paper proposes a social distribution mechanism for finding, connecting and propagating contents in social networks using context and communication history of users together with meta information about the content. The proposed mechanism operates by propagating invitation messages to a prioritized group of users to build up an ad-hoc social network from the original social network while at the same time preventing spamming the users with unwanted invitation messages. The proposed mechanism makes it possible to implement and deploy a wide variety of services targeting the specific needs of a user. As a proof-of-concept, the paper shows how the proposed social distribution mechanism can be used to invite users to a shared space, which can contain various kinds of collaboration tools allowing a group of users to communicate and solve problems together. In order to investigate the efficiency of the proposed mechanism, the paper also presents result from a simulation study. The result shows that the social distribution mechanism should consider both social strength and context for propagating social media contents as some of the recipients may have equal interest of the social media but different level of trust about the originator.

Harnessing the Cloud for Mobile Social Networking Applications

The cloud computing model inherently enables information from social networking services Twitter, Facebook, LinkedIn, and so forth, context-based systems location, activity, interests, etc. and personal applications call logs, contacts, email, calendar, and so forth to be harnessed for multiple purposes. This article presents an agent-based system architecture for semantic and semi-automated applications that utilize the cloud to enrich and simplify communication services, for instance by displaying presence information, prioritizing information, and dynamically managing groups of users. The proposed architecture is based on the concept of aggregated social graphs, which are created from harnessed information about how people communicate. This article also presents challenges in achieving the envisioned architecture and introduces early prototyping results.

CoMA: Resource Monitoring of Docker Containers

This research paper presents CoMA, a Container Monitoring Agent, that oversees resource consumption of operating system level virtualization platforms, primarily targeting container-based platforms ...