Ghosts in the machine : do the dead live on in Facebook?

Of the many ways in which identity is constructed and performed online, few are as strongly ‘anchored’ to existing offline relationships as in online social networks like Facebook and Myspace. These networks utilise profiles that extend our practical, psychological and even corporeal identity in ways that give them considerable phenomenal presence in the lives of spatially distant people. This raises interesting questions about the persistence of identity when these online profiles survive the deaths of the users behind them, via the practice of ‘memorialising’ social network profile pages. I situate these practices within a phenomenology of grief that accounts for the ways in which the dead can persist as moral patients, and show how online survival in this case illuminates an important difference between persons and selves within contemporary philosophy of personal identity. Ultimately, the online persistence of the dead helps bring into view a deep ontological contradiction implicit in our dealings with death: the dead both live on as objects of duty and yet completely cease to exist.

An ensemble learning approach for addressing the class imbalance problem in twitter spam detection

Being an important source for real-time information dissemination in recent years, Twitter is inevitably a prime target of spammers. It has been showed that the damage caused by Twitter spam can reach far beyond the social media platform itself. To mitigate the threat, a lot of recent studies use machine learning techniques to classify Twitter spam and report very satisfactory results. However, most of the studies overlook a fundamental issue that is widely seen in real-world Twitter data, i.e., the class imbalance problem. In this paper, we show that the unequal distribution between spam and non-spam classes in the data has a great impact on spam detection rate. To address the problem, we propose an ensemble learning approach, which involves three steps. In the first step, we adjust the class distribution in the imbalanced data set using various strategies, including random oversampling, random undersampling and fuzzy-based oversampling. In the next step, a classification model is built upon each of the redistributed data sets. In the final step, a majority voting scheme is introduced to combine all the classification models. Experimental results obtained using real-world Twitter data indicate that the proposed approach can significantly improve the spam detection rate in data sets with imbalanced class distribution.

Virtual communities of practice for regional small businesses: bringing informal networks online

Virtual communities of practice (VCoPs) are online business networks which are increasingly used by large organisations as a key strategy for creating value in the knowledge-based economy of the 21st Century.This paper examines the applicability of VCoPs to cross-industry regionally clustered small business networks. Interviews conducted with government and industry informants in two regional areas of Australia indicate that these strategies used for establishing VCoPs are applicable to such small business networks. Both regions had regional networks with active member involvement displaying CoP characteristics. Significant social capital existed on which VCoPs could be built, and there were viable alternatives to satisfy the roles of sponsors and leaders. There were, however, significant impediments that will have to be addressed before VCoPs can be  implemented such as the apparent reluctance of many SME owners to use the Internet and ICT generally, and the preference for informal networking. Funding to ensure that VCoPs are sustainable was also an issue. VCoPs appear to be extremely useful in linking small businesses in regional areas and in the development of viable regional clusters.

Social presence online: networking learners at a distance

This paper draws on two studies which researched the use of online small group environments where collaborative learning is a central structure for learning. The establishment of social presence is facilitated through the socio-affective aspect of small group interaction which contributed to the effectiveness of learning online. Social presence, the ability of online learners to project themselves into a textual environment which has few visual or contextual cues, will be explored as an important element in facilitating effective online learning. The teacher's role in helping students project their online social presence and in establishing an environment for learning within the larger group computer conference will also be discussed.

The effects of the social structure of digital networks on viral marketing performance

Viral marketing is a form of peer-to-peer communication in which individuals are encouraged to pass on promotional messages within their social networks. Conventional wisdom holds that the viral marketing process is both random and unmanageable. In this paper, we deconstruct the process and investigate the formation of the activated digital network as distinct from the underlying social network. We then consider the impact of the social structure of digital networks (random, scale free, and small world) and of the transmission behavior of individuals on campaign performance. Specifically, we identify alternative social network models to understand the mediating effects of the social structures of these models on viral marketing campaigns. Next, we analyse an actual viral marketing campaign and use the empirical data to develop and validate a computer simulation model for viral marketing. Finally, we conduct a number of simulation experiments to predict the spread of a viral message within different types of social network structures under different assumptions and scenarios. Our findings confirm that the social structure of digital networks play a critical role in the spread of a viral message. Managers seeking to optimize campaign performance should give consideration to these findings before designing and implementing viral marketing campaigns. We also demonstrate how a simulation model is used to quantify the impact of campaign management inputs and how these learnings can support managerial decision making.

Interconnecting networks of practice for professional learning

The article explores the complementary connections between communities of practice and the ways in which individuals orchestrate their engagement with others to further their professional learning. It does so by reporting on part of a research project conducted in New Zealand on teachers’ online professional learning in a university graduate diploma program on ICT education. Evolving from social constructivist pedagogy for online professional development, the research describes how teachers create their own networks of practice as they blend online and offline interactions with fellow learners and workplace colleagues. Teachers’ perspectives of their professional learning activities challenge the way universities design formal online learning communities and highlight the potential for networked learning in the zones and intersections between professional practice and study.
The article extends the concepts of Lave and Wenger’s (1991) communities of practice social theory of learning by considering the role participants play in determining their engagement and connections in and across boundaries between online learning communities and professional practice. It provides insights into the applicability of connectivist concepts for developing online pedagogies to promote socially networked

The social network virtual design studio : integrated design learning using blended learning environments

Online communications, multimedia, mobile computing and face-to-face learning create blended learning environments to which some Virtual Design Studios (VDS) have reacted to. Social Networks (SN), as instruments for communication, have provided a potentially fruitful operative base for VDS. These technologies transfer communication, leadership, democratic interaction, teamwork, social engagement and responsibility away from the design tutors to the participants. The implementation of Social Network VDS (SNVDS) moved the VDS beyond its conventional realm and enabled students to develop architectural design that is embedded into a community of learners and expertise both online and offline. Problem-based learning (PBL) becomes an iterative and reflexive process facilitating deep learning. The paper discusses details of the SNVDS, its pedagogical implications to PBL, and presents how the SNVDS is successful in enabling architectural students to collaborate and communicate design proposals that integrate a variety of skills, deep learning, knowledge and construction with a rich learning experience.

Virtual design studio within a blended social network

Online interactions, multimedia, mobile computing and face-to-face learning create blended learning environments to which some Virtual Design Studios (VDS) have reacted. Social Networks (SN), as instruments for communication, have provided a potentially fruitful operative base for VDS. These technologies transfer communication, leadership, democratic interaction, teamwork, social engagement and responsibility away from the design tutors to the participants. The implementation of a Social Network VDS (SNVDS) moved the VDS beyond its conventional realm and enabled students to develop architectural design that is embedded into a community of learners and their expertise both online and offline. Problem-based learning (PBL) becomes an iterative and reflexive process facilitating deep learning. The paper discusses details of the SNVDS, its pedagogical implications to PBL, and presents how the SNVDS is successful in empowering architectural students to collaborate and communicate design proposals that integrate a variety of skills, deep learning, knowledge and construction with a rich learning experience.

Developing online construction technology resources in tectonic design education

We outline issues of importance in relation to tectonic design within the architectural profession and the relationship to architectural education in Australia. Twelve years of research and curriculum development at Deakin University is discussed, involving the creation of online resources and case studies, digitally-integrated projects relating to building construction and design studio education. The ethos behind the Construction Primer of engaging students as ‘amateur researchers’ in a way that ensures ‘that student research work is worth more than course assessment’ forms the pedagogical foundation of much of this work. A model of Socially Networked Construction Technology education has been developed that integrates social networks and the Internet to engage students in tectonic design within and outside the classroom through authentic curricula. Through the use of Virtual Galleries, Blogs, YouTube and social networks, a culture of peer learning and sharing has been developed. Through shared knowledge facilitated through social networks, great potential lies for expanding the synergies between higher order learning and online resource development for design decision support.

Facilitating learning by going online : modernising Islamic teaching and learning in Indonesia

This chapter examines the impact of eLearning and Web 2.0 social media in a socially conservative environment in Indonesia that has nevertheless proven surprisingly adroit at change management. Web 2.0 social media has proven enormously popular in Indonesia but traditional Islamic schools (which are known in Java as pesantren but elsewhere in the Muslim world as madrasah) the focus of this study is often unable to access Web 2.0 or the Internet in general. Progressive non-national government organizations (NGOs) seek to remedy this situation by providing satellite broadband links to remote schools and this chapter examines one particular project. Despite the impoverished and conservative nature of their community, the leaders of this school have led their students in a surprisingly enthusiastic reception of eLearning technology, recognizing its great capacity to produce and enhance social networks and provide new opportunities for learning. Particular attention in this case study is given to factors relating to social capital, attitudes, and patterns of behavior in leadership and change management. A case study approach was chosen to enable a richer and more finely-grained analysis of the issues. The case study is based on semi-structured interviews and observations conducted over several years. This research shows that whilst the adoption and uptake of eLearning with emerging technologies is strongly shaped by cultural and social factors, it plays out in very different ways than might first have been expected.

A framework for social networked architectural education

Students engage in Social Networks (SN) as a form of interaction with friends and tutors, as news or learning resource, to make their voices heard or to listen to other views and many more. Online SN work in close association with offline SN to form a blended social environment that greatly enables and enhances students' learning. Some Schools of Architecture have struggled or failed to engage in the potential of SN or their respective University's online Learning Management Systems (LMS). Despite efforts to facilitate blended learning environments or to engage students in problem-based learning activities architectural education often fails to tap into the rich resources that online social learning environments offers through their collective and social intelligence of its users. This paper proposes a framework for SN architectural education that provides opportunities for linking the academic LMS with private or professional SN such that it enhances the learning experience and deepens the knowledge of the students. The paper proposes ways of utilising SN supported learning environments in other areas of the curriculum and concludes with directions of how this framework can be employed in professional settings.

The social network learning cloud: architectural education for the 21 century

In less than a decade, architectural education has, in some ways, significantly evolved. The advent of computation has not so much triggered the change, but Social Networks (SN) have ignited a novel way of learning, interaction and knowledge construction. SN enable learners to engage with friends, tutors, professionals and peers, form the base for learning resources, allow students to make their voices heard, to listen to other views and much more. They offer a more authentic, inter-professional and integrated problem based, Just-in-Time (JIT), Just-in-Place (JIP) learning. Online SN work in close association with offline SN to form a blended social learning realm-the Social Network Learning Cloud (SNLC)-that greatly enables and enhances students' learning in a far more influential way than any other learning means, resources or methods do. This paper presents a SNLC for architectural education that provides opportunities for linking the academic Learning Management Systems (LMS) with private or professional SN such that it enhances the learning experience and deepens the knowledge of the students. The paper proposes ways of utilising SNLC in other learning and teaching areas of the curriculum and concludes with directions of how SNLC then may be employed in professional settings.

A framework for classifying online mental health related communities with an interest in depression

Mental illness has a deep impact on individuals, families, and by extension, society as a whole. Social networks allow individuals with mental disorders to communicate with others sufferers via online communities, providing an invaluable resource for studies on textual signs of psychological health problems. Mental disorders often occur in combinations, e.g., a patient with an anxiety disorder may also develop depression. This co-occurring mental health condition provides the focus for our work on classifying online communities with an interest in depression. For this, we have crawled a large body of 620,000 posts made by 80,000 users in 247 online communities. We have extracted the topics and psycho-linguistic features expressed in the posts, using these as inputs to our model. Following a machine learning technique, we have formulated a joint modelling framework in order to classify mental health-related co-occurring online communities from these features. Finally, we performed empirical validation of the model on the crawled dataset where our model outperforms recent state-of-the-art baselines.

Identifying social influence in complex networks: a novel conductance eigenvector centrality model

Identifying influential peers is an important issue for business to promote commercial strategies in social networks. This paper proposes a conductance eigenvector centrality (CEC) model to measure peer influence in the complex social network. The CEC model considers the social network as a conductance network and constructs methods to calculate the conductance matrix of the network. By a novel random walk mechanism, the CEC model obtains stable CEC values which measure the peer influence in the network. The experiments show that the CEC model can achieve robust performance in identifying peer influence. It outperforms the benchmark algorithms and obtains excellent outcomes when the network has high clustering coefficient.

Student and supervisor perspectives in a computer-mediated research relationship

A brief narrative description of the journal article, document, or resource. This paper presents the reflective perspectives of the student and supervisor in a successful computer-mediated research relationship at Deakin University (Australia). Key contributing factors are discussed in a dialog format covering the role of computer-mediated communication (CMC), the projection of social presence, student self-efficacy beliefs, the role of information and communication technology (ICT), and interaction in online professional networks. Drawing on relevant theory, inherent challenges are addressed, informing some concluding suggestions as to how supervision might become more responsive to the emergent forms of research learning being experienced by escalating numbers of postgraduate students studying at a distance via ICT.