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  • 1. Dudarenko, Natalia
    et al.
    Rana, Juwel
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Ranking algorithm by contacts priority for social communication systems2010Ingår i: Smart Spaces and Next Generation Wired/Wireless Networking: Third Conference on Smart Spaces, ruSMART 2010, and 10th International Conference, NEW2AN 2010, St. Petersburg, Russia, August 23-25, 2010. Proceedings / [ed] Sergey Balandin; Roman Dunaytsev; Yevgeni Koucheryavy, Springer Science+Business Media B.V., 2010, 38-49 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    The paper presents the ranking algorithm by contacts with priority application for Social Communication Services. This algorithm makes it Possible to rank contacts in Different Social Communication Services by Their priority for the user, and find a preferable communication tools for everytime contact into the social graph. It Is Proposed to Determine Priorities Of The contacts Using communication history. The ranking algorithm is based on the Markov Chain Theory and Social Strength Calculation Approach. The paper exploits the Opportunities for measuring social strength for the contacts and also "prioritizes communication tools for Simplifying communication. The results are Lindsey village an example.

  • 2.
    Idowu, Samuel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hagos, Desta Haileselassie
    Tesfay, Welderufael Berhane
    Famurewa, Abiola
    Rana, Juwel
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    NexTrend: Context-aware music-relay corridors using NFC tags2013Ingår i: 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing: IMIS 2013, Taichung, Taiwan; 3 July 2013 - 5 July 2013, Piscataway, NJ: IEEE Computer Society Press , 2013, 573-578 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    The rise of pervasive computing presents unique opportunities due to increasing availability of smart devices such as mobile phones and tablets equipped with various sensors enabling Near Field Communication (NFC) technologies. The growth of mobile computing has led to an increase in access to digital music. With the growth of digital music, the development of music information sharing services for users becomes important. The existing sharing methods are based on the users’ social network and preferences in music. However, sometimes, sharing music according to location and time is needed.This paper presents work on smart spaces equipped with NFC tags, deployed at different locations in hallways for discovering and sharing new music experiences. This concept provides a new way of interaction between passers-by for discovering music in relation to location. For example, the hallway locations use sensing devices to provide an automatic means of exchanging music information among the passers-by.We utilized NFC tags as Music-Relay hot spots. The hot spot retrieves information about the music a user is playing on her/his device while s/he is passing by the hot spot. The work contributes to a pervasive service that equips an environment with music context intelligence about a passer-bys choice of music and allows users to feel the musical presence of other users who have been in the same location at previous point in time. In general, this paper proposes a new music information sharing service using the music information captured from users at a specific location in time.

  • 3.
    Rana, Juwel
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Improving group communication by harnessing information from social networks and communication services2011Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    On-line social networking and communication services are increasingly popular methods to communicate with friends, family and communities. Statistics shows that users of services like Facebook and Twitter stretches across geographical locations, professions, age groups and habits. Smart mobile devices with Internet connectivity simplifies access to these services at anytime and from almost anywhere. However, the huge amount of user-generated content makes it difficult to identify useful information. A challenge is to create micro-communities where users may join in from heterogeneous social networks using proper user and identity management. The increasing number of social networks and communication services are also creating new challenges in social media content filtering, micro-community discovery, automatic group communication initialization.This licentiate thesis proposes to utilize social graphs for improving group communication. It therefore presents a framework that manages information harnessed from social-networking services and personal devices such as mobile phones and laptops. The framework can identify individual communication patterns and use these to calculate a social strength between users expressed as a weighted social graph.The central component of the framework is a social recommendation engine for social content filtering, group management and communication pattern discovery. The engine harness personalized social data (both content and contact) from the social-networking services and personal devices. The framework also contains methods for social strength calculation based on a unified interaction model that supports communication pattern discovery. A comparison study is presented together with the framework, which evaluates different social strength computation methods based on a simulated interaction dataset. The feasibility of social data collection from social networks and communication services are also discussed to illuminate potential benefits of the framework for the next generation of communication tools (such as mobile video conferencing).Evaluation of the framework is initially done by proof-of-concept prototypes that illustrate functional feasibility. Two prototypes are presented in this thesis, a presence information viewer that filters and prioritizes contacts and a real-time photo sharing application utilizing calendar data for initiation of group communication. In conclusion, improving group communication by offering services for micro-communities, based on our communication habits, personal interests and context (such as activity and location) is technically realistic and feasible.

  • 4.
    Rana, Juwel
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    On weighted egocentric graphs and social group communication2013Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
    Abstract [en]

    Electronic communication has a profound impact on our society, where for instance social media now is almost ubiquitously used to share information. This has led to several major challenges, including how to overcome information overload and privacy concerns, how to utilize social context based on multiple data sources from both the virtual and physical worlds, and subsequently how to improve group communication.This doctoral thesis presents an Aggregated Social Graph (ASG) framework that utilizes weighted egocentric graphs representing the calculated social strength between people. The framework is based on a unified interaction model that support capturing and aggregating information from communication services such as social networks, mobile phones and email clients. Two algorithms for social strength computation are presented and evaluated in this thesis: Utility Function and Euclidean Distance.The proposed framework contains a social recommender engine that includes context-based methods (tags, locations and objects) to rank, filter, recommend and group social contacts and information based on the weighted egocentric graphs. The ranking of contacts can for instance be used to automatically form contextual groups. These groups can be used to dynamically compose and tailor communication tools for specific communication contexts by integrating widgets into web-based collaborative environments.The framework also contains a novel social distribution mechanism for controlling otherwise flat or viral distribution of information. The mechanism combine weighted egocentric graphs and users' context to establish a level of trust to control propagation of information, thus reducing the potential perception of spamming.The work is evaluated through several proof-of-concept prototypes that show the potential to improve distribution and filtering of information as well as social group formation. The proof-of-concept prototypes also show that communication tools can be dynamically composed for a specific group of users and for a specific context. Moreover, this thesis presents evaluation studies that compare the social strength algorithms and verify the concept of contextual group formation.In conclusion, utilizing social context as represented by weighted egocentric graphs has the potential to improve group communication services. We believe that the proposed framework is an effective means to reduce the problems with information overload and to enable automation of processes related to electronic group communication.

  • 5. Rana, Juwel
    et al.
    Carreras, Iacopo
    Create-Net.
    Telesca, Luigi
    Create-Net.
    Coordination protocol for financial application in delay tolerant networks2008Ingår i: The Third International Conference on COMmunication System softWAre and MiddlewaRE, IEEE Computer Society Press , 2008, 283-286 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Business processes have been introduced in financial applications in order to improve productivity and efficiency, and consists in the management of a set of interrelated tasks involving different partners across different institutions. In this paper, we are concerned with the support of business processes over mobile networks. We focus on the existing limitations of the 2 phase commit protocol, which is at the basis of most popular coordination frameworks for distributed transactions, and propose an extension of it in order to address the constraints imposed by a mobile environment. We describe such extension in detail, and provide a basic algorithm that is needed in order to run it over mobile networks.

  • 6.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Ericsson.
    Harnessing the cloud for mobile social networking applications2012Ingår i: Evolving developments in grid and cloud computing: advancing research / [ed] Emmanuel Udoh, Hershey, Pa.: Information Science Reference, 2012, Vol. 2, nr 2Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    The cloud computing model inherently enables information from social networking services (Twitter, Facebook, LinkedIn, etc), context-based systems (location, activity, interests, etc.) and personal applications (call logs, contacts, email, calendar, etc) 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 we communicate. This article also presents challenges in achieving the envisioned architecture and introduces early prototyping results.

  • 7.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Ericsson.
    Harnessing the cloud for mobile social networking applications2010Ingår i: International Journal of Grid and High Performance Computing, ISSN 1938-0259, Vol. 2, nr 2, 1-11 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The cloud computing model inherently enables information from social networking services (Twitter, Facebook, LinkedIn, etc), context-based systems (location, activity, interests, etc.) and personal applications (call logs, contacts, email, calendar, etc) 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 we communicate. This article also presents challenges in achieving the envisioned architecture and introduces early prototyping results.

  • 8.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    An architecture for mobile social networking applications2009Ingår i: 2009 First International Conference on Computational Intelligence, Modelling and Simulation, (CSSim 2009): Brno, Czech Republic, 7 - 9 September 2009 / [ed] Jiri Kunovský, Piscataway, NJ: IEEE Communications Society, 2009, 241-246 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    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 userpsilas 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.

  • 9.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Hallberg, Josef
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Challenges for mobile social networking applications2009Ingår i: Communications Infrastructure. Systems and Applications in Europe: first international ICST conference, EuropeComm 2009, London, UK, August 11-13, 2009 : revised selected papers / [ed] Rashid Mehmood, Berlin: Springer Science+Business Media B.V., 2009, 275-285 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents work in progress regarding utilization of social network information for mobile applications. Primarily a number of challenges are identified, such as how to mine data from multiple social networks, how to integrate and consolidate social networks, and how to manage semantic information for mobile applications. The challenges are discussed from a semantic Web perspective using a driving scenario as motivation.The main objective is to enable mobile applications to benefit from semantic information obtained from Web services, mobile devices, or the surrounding environment. The goal is therefore to create a framework that enables integration of semantic information (location, activity, interests, etc) with social network data (from Twitter, FaceBook, LinkedIn, etc) to facilitate intelligent yet easy to use communication tools for individual persons as well as groups of persons. An ultimate goal is to make complex communication simple through utilization of semantic information and social network data for pervasive services in mobile devices.

  • 10.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Ericsson Research, Luleå.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Dynamic media distribution in ad-hoc social networks2012Ingår i: The 2nd International Conference on Social Computing and its Applications (SCA2012), 1-3 November 2012, Xiangtan, Hunan, China: Theme: Social Media, Mining and Analytics, Piscataway, NJ: IEEE Computer Society Press , 2012, 546-553 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    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.

  • 11.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Ericsson SE.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Enriching and simplifying communication by social prioritization2010Ingår i: 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010): Odense, Denmark, 9 - 11 August 2010 / [ed] Nasrullah Memon, Piscataway, NJ: IEEE Computer Society Press , 2010, 336-340 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a framework for developing applications that harness information available on social networking sites and telecom platforms to make communication simpler and richer. The framework builds an aggregated social graph by first aggregating user's contact information from multiple communication environments and then calculating the social strength between the users, based on interaction pattern and process mining techniques. The aggregated social graph describes users communication patterns which can be used to simplify and enhance communication services by inviting users for collaboration, selecting suitable tools for communication and prioritizing information flows. The framework also enables new types of applications such as social search clients, smart dialers or contact applications. In addition, the paper also presents an prototype implementation together with an evaluation comparing methods to compute social strengths based on on-line interaction datasets

  • 12.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Ericsson Research, Luleå.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Modeling unified interaction for communication service integration2010Ingår i: The Fourth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies: UBICOMM 2010 : October 25 - 30, 2010 - Florence, Italy / [ed] Jaime Lloret Mauri, Red Hook, NY: Curran Associates, Inc., 2010, 373-378 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Social network inspired communication services has made a huge success, allowing users to communicate and share information in new fashion. At the same time, telecom operator's services are becoming more open, which makes it possible to develop improved social networking services and integrate them with mobile platforms. One problem that needs to be addressed when developing such services how to fetch useful social information and make it available for the services running in the cloud or in the client devices. This paper presents a generalized on-line interaction model that collects useful information from well known social networking services, and transforms the information into unified interaction patterns, which can be utilized for social data propagation or for discovering communication patterns. Ultimately, this allows the applications to incorporate social data for enabling smarter functions. For example, the data model can be useful for presenting information about callers or adding news feeds to the classical address book, prioritizing information of the contacts, inviting user for forming micro-communities. The paper also discusses the identity problem in the social media and identifies major challenges to solve that problem

  • 13.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Supporting ubiquitous interaction in dynamic shared spaces through automatic group formation based on social context2012Ingår i: ASE International Conference on Social Informatics, Washington D.C., USA: December 14-16, 2012, Piscataway, NJ: IEEE Computer Society Press , 2012, 121-130 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper investigates how the management of groups that communicate electronically, such as group formation, can be simplified based on users’ context and social relations. This work builds on a framework for Aggregated Social Graphs, where each node represents the relational strength to other users. The strength of a relation is calculated by utilizing information on how we communicate using mobile phone calls, emails, and social networks in combination with additional sources of information such as from calendars. A contextual group management schema is presented where contextual parameters such as tags, locations and objects are used to prune an aggregated social graph in order to automatically form a group.The schema is implemented in a runtime environment based on the Distributed Shared Memory service available at Ericsson Labs. The feasibility of the proposed schema is then studied through a prototype implementation both in a web-browser and as a mobile app. The study shows that a group can be formed automatically and that a lightweight communication session then can be initiated for that group.

  • 14. Rana, Juwel
    et al.
    Kristiansson, Johan
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    The strength of social strength: an evaluation study of algorithmic versus user-defined ranking2014Ingår i: Proceedings of the ACM Symposium on Applied Computing, New York: ACM Digital Library, 2014, 658-659 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    A family relation is generally considered to be stronger than a relation between coworkers in our society, but the strength of the relation is intrinsic and have been cumbersome to measure. The fact that we increasingly communicate electronically, such as through email, mobile phone calls or social media, has made it possible to automatically measure and analyze the relation between persons. This paper presents an evaluation study of social strength, where the social strength is defined as a metric that represents the tie strength of the relation between persons, calculated based on the frequency, duration, context and media type of the electronic communication between the persons. The study found that the Utility Function performs better because it emphasize the communication frequency between persons. There is however a significant difference in results between the algorithms and the user-defined ranking. This indicates the inability of the algorithms to capture intrinsic knowledge (such as the importance of family bonds and nonelectronic interaction). This would mean that the participants' ranking was colored by their interaction in real-life. It is however evident from the study that the functions provide more accurate results when they utilize multiple sources of communication history over only a single source. Finally, capturing sufficient communication data from multiple data sources is very hard, as access to such data is restricted because of concerns regarding for instance business and privacy. A conclusion is that the algorithms requires a larger data set, preferably being captured continuously over a period longer than 2 weeks, to achieve a better accuracy that is closer to the ground truth. However, the study shows the feasibility of capturing social strength automatically and we believe that the results is an important step towards systems that reason about the relation between persons in order to make communications services more pervasive.

  • 15.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Technical Foresight Report on Social Distribution Mechanisms2012Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This report aims to identify trends, challenges and recommendations in regard of Social Distribution Mechanisms. This foresight will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead, or 2030! The purpose is to create a common outlook on the future of ICT and to establish a strong community across nodes and partner organizations.

  • 16.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Utilizing ego-centric social graphs to support social actorship: social recommendations for nomadic citizens2012Rapport (Övrigt vetenskapligt)
  • 17.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Ad-hoc Social Network Formation for Tailored Collaboration in Shared Spaces2015Ingår i: International Journal of Social Computing and Cyber-Physical Systems, ISSN 2040-0721Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This paper presents how users’ context and social relations can be utilized for the creation of ad-hoc social networks and subsequent electronic collaboration in Shared Spaces. The work is based on a framework for Aggregated Social Graphs from LTU and an environment for Shared Spaces from Ericsson Research. The Aggregated Social Graph represents the social strength to other users, which is calculated from the frequency and duration that a user communicate with other users through phone calls, emails, and social networks. This paper describes how such graphs together with contextual parameters can be utilized to create and manage ad-hoc social networks. The presented contextual group management schema is based on contextual parameters such as tags, locations and objects, and is implemented in a runtime environment based on the Distributed Shared Memory service available at Ericsson Labs. The feasibility of the proposed schema is evaluated by a Shared Spaces implementation for web-browsers that allow widgets for collaborative tasks to be dynamically added based on needs. The study shows that an ad-hoc social network can be formed automatically or by offering the user a set of simple parameters for selection of members. It also shows that a Shared Space then can be initiated and tailored with suitable tools for the purpose of the intended collaboration. The conclusion is that the burden of managing users and setting up a suitable communication session is reduced so that any user easily could setup and benefit from multi-user collaboration. We believe this would have a large impact on how we communicate in the future as communication technologies become supportive of how we wish interact electronically.

  • 18.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kristiansson, Johan
    Controlled viral distribution of digital media based on analysis of ego-centric networks2015Ingår i: International Journal of Social Computing and Cyber-Physical Systems, ISSN 2040-0721Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    This article discusses how analysis of a user’s ego-centric network (social networks, communication patterns and context) can support distribution of digital media. A social distribution mechanism is proposed that makes it possible to implement and deploy services targeting specific needs of a user as indicated by context and purpose. This mechanism controls the potential viral characteristic of utilizing users’ full ego-centric networks.This is achieved by retrieving information about a user’s social connections from multiple social networks and communication tools (such as Facebook, Twitter, LinkedIn, Gmail, and call logs) to build an aggregated social graph that describes the strength of the user’s relations based on communication frequency. The graph can then be pruned by filtering out users based on meta information about the context and purpose of the user. The proposed mechanism then operates by propagating invitations to a selected group of users to build up an ad-hoc social network for distribution of digital media.As a proof-of-concept, the article 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 share digital media as well as to communicate and solve problems together. In order to investigate the efficiency of the proposed mechanism, the article 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. It also shows that it can limit spamming users with unwanted invitations.

  • 19.
    Rana, Juwel
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Synnes, Kåre
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Morshed, Sarwar
    Green University.
    End-user creation of social apps by utilizing web-based social components and visual app composition2013Ingår i: ACM SIG Proceedings, ACM Digital Library, 2013, 1205-1214 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    This paper presents a social component framework for the SatinII App Development Environment. The environment provides a systematic way of designing, developing and deploying personalized apps and enables end-users to develop their own apps without requiring prior knowledge of programming. A wide range of social components based on the framework have been deployed in the SatinII Editor, including components that utilize aggregated social graphs to automatically create groups or recommending/filtering information. The resulting social apps are web-based and target primarily mobile clients such as smartphones. The paper also presents a classification of social components and provides an initial user-evaluation with a small group of users. Initial results indicate that social apps can be built and deployed by end-users within 17 minutes on average after 20 to 30 minutes of being introduced to the SatinII Editor.

  • 20.
    Synnes, Kåre
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kranz, Matthias
    University of Passau.
    Rana, Juwel
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Schelén, Olov
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    User-Centric Social Interaction for Digital Cities2017Ingår i: The internet of things: breakthroughs in research and practice, IGI Global, 2017, 41-70 s.Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Pervasive Computing was envisioned by pioneers like Mark Weiser, but has yet to become an everyday technology in our society. The recent advances regarding Internet of Things, social computing and mobile access technologies however converge to make pervasive computing truly ubiquitous. The key challenge is however to make simple and robust solutions for normal users, which shifts the focus from complex platforms involving machine learning and artificial intelligence to more hands on construction of services that are tailored or personalized for individual users.This chapter therefore discusses Internet of Things together with Social Computing as a basis for components that users in a ’digital city’ could utilize to make their daily life better, safer, etc. A novel environment for user-created services, such as social apps, is presented as a possible solution for this. The vision is that anyone could make simple service based on Internet-enabled devices (Internet of Things) and encapsulated digital resources such as Open Data, which also can have social aspects embedded.This chapter also aims to identify trends, challenges and recommendations in regard of Social Interaction for Digital Cities. This work will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead of now. The purpose is to create a common outlook on the future of information and communication technologies (ICT) based on the extrapolation of current trends and ongoing research efforts.

  • 21.
    Synnes, Kåre
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kranz, Matthias
    Rana, Juwel
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Schelén, Olov
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    User-Centric Social Interaction for Digital Cities2013Ingår i: Creating Personal, Social, and Urban Awareness through Pervasive Computing, IGI Global, 2013, 318-346 s.Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    Pervasive Computing was envisioned by pioneers like Mark Weiser, but has yet to become an everyday technology in our society. The recent advances regarding Internet of Things, social computing and mobile access technologies however converge to make pervasive computing truly ubiquitous. The key challenge is however to make simple and robust solutions for normal users, which shifts the focus from complex platforms involving machine learning and artificial intelligence to more hands on construction of services that are tailored or personalized for individual users.This chapter therefore discusses Internet of Things together with Social Computing as a basis for components that users in a ’digital city’ could utilize to make their daily life better, safer, etc. A novel environment for user-created services, such as social apps, is presented as a possible solution for this. The vision is that anyone could make simple service based on Internet-enabled devices (Internet of Things) and encapsulated digital resources such as Open Data, which also can have social aspects embedded.This chapter also aims to identify trends, challenges and recommendations in regard of Social Interaction for Digital Cities. This work will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead of now. The purpose is to create a common outlook on the future of information and communication technologies (ICT) based on the extrapolation of current trends and ongoing research efforts.

  • 22.
    Synnes, Kåre
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Kranz, Matthias
    Schelén, Olov
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Rana, Juwel
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Technical foresight report on social interaction for digital cities2012Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This report aims to identify trends, challenges and recommendations in regard of Social Interaction for Digital Cities. This foresight will help expose future themes with high innovation and business potential based on a timeframe roughly 15 years ahead. The purpose is to create a common outlook on the future of ICT and to establish a strong community across EIT ICT Labs nodes and partner organizations.

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