Social Networks

Barnes, Susan B.

doi:10.3726/978-1-4539-1029-0

Cited by 18 publications

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“…SNA study patterns of relations, not just relations between pairs [27]. Relations are measured in pairs of nodes, but the study of the effect and meaning of this relation requires broader patterns of ties within the network [31]. In [26], the interaction patterns in the network were also analyzed in order to understand many aspects of the collaboration, such as how the discussion was developed over time, collaborative work sequences, planning issues, delays, etc.…”

Section: B Social Network Analysis In Csclmentioning

confidence: 99%

Providing a Multi-fold Assessment Framework to Virtualized Collaborative Learning in Support for Engineering Education

Mora¹,

Caballé

Daradoumis³

2016

Int. J. Emerg. Technol. Learn.

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Abstract-In previous research we proposed a virtualization process of live collaborative sessions from Web discussion forums and chats with the aim to produce interactive and attractive online learning resources to be played by learners, thus having a positive effect in learner engagement. In order to enhance further learning engagement, in this paper we endow our virtualization process with a multifold assessment framework that provides effective awareness and constructive feedback to learners from the original collaborative interactions amongst group members. The research here presented focuses on e-assessment of collaborative and social learning and extends it with Learning Analytics and Social Network Analysis techniques that are able to analyze and represent cognitive and social interactions underlying live collaborative sessions. The interaction data extracted from collaborative knowledge and social networking is integrated into the virtualized collaborative learning to produce an efficient and personalized awareness and feedback system about the collaborative activity and the social behaviour of the original participants of live collaboration. This paper describes both the conceptual and methodological research to build our multi-fold e-assessment framework. The research is evaluated in real context of e-learning and validated by empirical data and interpretation.Index Terms-Collaborative learning, collaborative complex learning resources, cognitive and social e-assessment, networking interaction, social network analysis

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Section: B Social Network Analysis In Csclmentioning

confidence: 99%

Providing a Multi-fold Assessment Framework to Virtualized Collaborative Learning in Support for Engineering Education

Mora¹,

Caballé

Daradoumis³

2016

Int. J. Emerg. Technol. Learn.

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“…Ever since the introduction of the sociogram by Moreno in the 1930s, methods to visualise the social structures of groups of actors have proliferated (De Nooy et al, 2005;Wasserman & Faust, 1994). At the same time, the discussions between those researchers with a structuralist perspective and others with a more action-oriented approach in anthropology have spurred some to introduce a more integrated perspective of action and structure by means of social network concepts (Barnes, 1954(Barnes, , 1972Mitchell, 1974).…”

Section: Discussionmentioning

confidence: 99%

“…Barnes, 1972;Jansen, 2003;Knoke & Yang, 2008;Mitchell, 1974;Stokman & Oosten, 1994;Turner, 2001;Wasserman & Faust, 1994;Wellman, 1988;Wellman & Berkowitz, 1988).…”

Section: Basic Concepts In Social Network Analysismentioning

confidence: 99%

“…The introduction of sociograms by Moreno in the 1930s enabled scientists to visualise the social structures of small groups (Wasserman & Faust, 1994). Ideas about the relations among actors were first formulated in anthropology in the 1950s as a response to the structuralist and functionalist perspectives then-dominant within this discipline (Barnes, 1954(Barnes, , 1972Mitchell, 1974). Within anthropology, the first notions of social networks were primarily metaphorical, emphasising that 'the social links of individuals in any given society ramify through that society' (Mitchell, 1974, p. 280).…”

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confidence: 99%

“…Barnes, 1972;Burt, 1980Burt, , 1982Jansen, 2003;Knoke & Yang, 2008;Mitchell, 1974;Turner, 2001;Wasserman & Faust, 1994;Wellman, 1983).…”

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confidence: 99%

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Networks : structure and action : steering in and steering by policy networks

Dassen¹

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This thesis explores the opportunities to build a structural policy network model that is rooted in social network theories. By making a distinction between a process of steering in networks, and a process of steering by networks, it addresses the effects of network structures on network dynamics as well as on the production of policy outputs. Proceeding from actor-based models of network dynamics, it hypothesizes on the relations between initial network structures and their structural outcomes. The thesis also presents a set of hypotheses that describe which structural characteristics of policy networks are most likely to produce policy outputs, and what the utility of such outputs might be for both individuals in the network and for governments. PrefaceIt is hard to believe my days as a PhD student are over and that these are the last pages to be written. After four years of hard, but rewarding work it is time to thank those that have played a crucial role in the process leading up to the completion of this thesis. The freedom to manoeuvre that I was granted and your confidence in my capabilities to write a theoretical thesis are much appreciated. I have enjoyed working with you both.

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Democracy—Application of Artificial Intelligence

Gireesan

2024

Democracy, Leadership and Governance – Application of Artificial Intelligence

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Social Networks

Cited by 18 publications

References 0 publications

Providing a Multi-fold Assessment Framework to Virtualized Collaborative Learning in Support for Engineering Education

Providing a Multi-fold Assessment Framework to Virtualized Collaborative Learning in Support for Engineering Education

Networks : structure and action : steering in and steering by policy networks

Democracy—Application of Artificial Intelligence

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