Ontology Facilitated Community Navigation – Who Is Interesting for What I Am Interested in?

Malzahn, Nils; Zeini, Sam; Harrer, Andreas

doi:10.1007/11508373_22

Cited by 9 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This flexible approach allows us to handle different input sources such as mailinglists and newsgroups, discussion forums [5] and photo community web galleries, log files from source code repositories, as well as our own formats SPREKON [4] and CoNaVi (used by our Community Navigation Visualiser [8]). The parsed entries are mapped to our internal SPREKON data structure representing the publications, the authors and potentially the editors.…”

Section: Methodsmentioning

confidence: 99%

Integrated Representation and Visualisation of the Dynamics in Computer-mediated Social Networks

Harrer

Zeini

Ziebarth

2009

2009 International Conference on Advances in Social Network Analysis and Mining

Self Cite

View full text Add to dashboard Cite

In this paper we will demonstrate the potential of processing and visualising the dynamics of computermediated communities by means of Social Network Analysis. According to the fact that computer-mediated community systems are manifested also as structured data, we use data structures like e-mail, discussion boards, and bibliography sources for an automatic transformation into social network data formats. Currently our developed converter DMD (Data Multiplexer Demultiplexer) supports GraphML, UCINET, and Pajek formats besides our own data formats which are used for real-time analysis of CSCL (Computer Supported Collaborative Learning) activities. In the case of communication data our converters utilize conversation graphs reflecting aspects of speech act and conversational theory to produce directed graphs in the cases where one-mode person networks are desired.The paper will demonstrate a 3-dimensional visualisation of an author community based on Bibtex bibliography data converted into GraphML. Based on this dataset we visualise publications network with a tool called Weaver, which is developed in our research group. According to Lothar Krempel's algorithm, Weaver uses the first two dimensions to embed the network structure within a common solution space. The third dimension is used for representing the time axis and thus the dynamics of co-authorship relations.Concluding we aim to discuss potential issues and problems of our approach and the possibilities especially concerning the appropriate visualisation and segmentation of long term communications, such as mailing lists.

show abstract

Section: Methodsmentioning

confidence: 99%

Integrated Representation and Visualisation of the Dynamics in Computer-mediated Social Networks

Harrer

Zeini

Ziebarth

2009

2009 International Conference on Advances in Social Network Analysis and Mining

Self Cite

View full text Add to dashboard Cite

show abstract

“…Only a few three-mode network analysis studies conducted by the same research team were located. Malzahn et al (2005) proposed a network analysis algorithm to analyze how two-mode participant-topic networks were mediated by a third ontology-based semantic network; this three-mode network analysis connected two participants who had no explicit relations in terms of their potential common interests mediated by the ontology network. Using Malzahn et al's (2005) algorithm, Harrer et al (2007) demonstrated additional links of interests between two teams in a scientific community mediated by the knowledge maps.…”

Section: Basic Rationale Of Using Sna In Csclmentioning

confidence: 99%

“…Malzahn et al (2005) proposed a network analysis algorithm to analyze how two-mode participant-topic networks were mediated by a third ontology-based semantic network; this three-mode network analysis connected two participants who had no explicit relations in terms of their potential common interests mediated by the ontology network. Using Malzahn et al's (2005) algorithm, Harrer et al (2007) demonstrated additional links of interests between two teams in a scientific community mediated by the knowledge maps. Harrer et al (2009) further proposed a schema for multi-mode network transformations and presented a multi-mode network visualization to show temporal changes.…”

Section: Basic Rationale Of Using Sna In Csclmentioning

confidence: 99%

“…Since relational ties can be built and measured through varied ways, it is necessary to explicitly elaborate definitions and measurements of relational ties (Ouyang & Scharber, 2017; Saqr et al., 2020; Wise & Cui, 2018). Second, two-mode and multi-mode network analyses are used to examine relations between entities, and mediating effects of these relations (e.g., Gao et al., 2017; Hecking et al., 2014; Malzahn et al., 2005). Most SNA research primarily focuses on one-mode network analysis of human (e.g., communication-based interactions between students), which may miss the diversity of CSCL entities during collaborative learning (Dado & Bodemer, 2017).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Using Three Social Network Analysis Approaches to Understand Computer-Supported Collaborative Learning

Ouyang

2021

Journal of Educational Computing Research

View full text Add to dashboard Cite

Sharing the same philosophy of “relations matter” with computer-supported collaborative learning (CSCL), social network analysis (SNA) has become a common methodology in the CSCL research. In this research, I use SNA methods from relational ties, network modes, and integrated methods perspectives to understand attributes of relations in CSCL. I design, conduct, and evaluate three SNA analytics on the same dataset from an online course to understand CSCL entities, relations, and processes. This online collaborative discussion in this course stresses students’ knowledge inquiry, construction, and building through peer interactions. Results show that compared to traditional SNA methods, these three SNA approaches can reveal more detailed, richer picture of the collaborative learning processes, particularly, the interactional, multi-modal, and temporal aspects. Moreover, these SNA approaches are generalizable for understanding similar CSCL settings. Based on the results, this research proposes methodological implications to further apply and develop SNA in the CSCL field.

show abstract

“…Ce type d'information est apparu récemment dans la littérature dans le domaine de la RI. Il correspond aux informations caractérisant les relations sociales, les interactions entre les usagers, etc… Ces relations et interactions sont exploitées afin, par exemple, d'identifier des « chemins d'informations privilégiés » et d'améliorer la RI (Malzahn, 2005). L'analyse des réseaux sociaux (Wassermann, 1994) peuvent être appliquées sur ce type d'information pour identifier par exemple des communautés ou des personnes expertes; -intentionnelles.…”

Section: Contenu Des Profils Usagersunclassified

MAT, un outil d'aide et d'accompagnement des enseignants dans la conception de scénario pour un EIAH

Tetchueng¹,

Garlatti²,

Laubé³

2009

isi

View full text Add to dashboard Cite

show abstract

Ontology Facilitated Community Navigation – Who Is Interesting for What I Am Interested in?

Cited by 9 publications

References 13 publications

Integrated Representation and Visualisation of the Dynamics in Computer-mediated Social Networks

Integrated Representation and Visualisation of the Dynamics in Computer-mediated Social Networks

Using Three Social Network Analysis Approaches to Understand Computer-Supported Collaborative Learning

MAT, un outil d'aide et d'accompagnement des enseignants dans la conception de scénario pour un EIAH

Contact Info

Product

Resources

About