A recommender mechanism for social knowledge navigation in an online encyclopedia

Li, Yung-Ming; Lin, Lien-Fa; Lin, Yu-Hui

doi:10.1016/j.ipm.2014.04.006

Cited by 12 publications

(2 citation statements)

References 36 publications

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“…For example, SMNs explicitly draw the boundaries of knowledge through segmenting the network into knowledge topics (e.g. Li et al, ). Also, SMNs can form a precise history of users' actions and reflect them through explicit signals, such as users' contribution status (e.g.…”

Section: Theoretical Developmentmentioning

confidence: 99%

Diffusion of knowledge in social media networks: effects of reputation mechanisms and distribution of knowledge roles

Havakhor¹,

Soror

Sabherwal

2016

Information Systems Journal

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Abstract. Social media platforms serve as important tools for diffusing knowledge within organizations. The factors affecting knowledge diffusion through social media networks (SMNs) need to therefore be better understood. Accordingly, this paper focuses on two SMN-specific characteristics -reputation mechanisms and the distribution of knowledge roles -which are argued to enhance and enable, respectively, the smooth transfer of knowledge in a SMN. To examine their effects, we distinguish between two types of reputation mechanisms -adaptive and objective -and across three distinct knowledge roles in SMNs: seekers, contributors and brokers. We argue that the extent of knowledge diffusion in the SMN depends on the type of mechanism and the relative distribution of these three roles. Using data collected through an agent-based simulation, we find that (a) the distribution of knowledge roles affects knowledge diffusion, with distributions consisted of more brokers outperforming others and (b) objective reputation mechanisms outperform adaptive mechanisms. Furthermore, we find that reputation mechanisms and distribution of knowledge roles interact to influence knowledge diffusion. The study's implications for future research and practice are discussed in the light of its limitations.

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Section: Theoretical Developmentmentioning

confidence: 99%

Diffusion of knowledge in social media networks: effects of reputation mechanisms and distribution of knowledge roles

Havakhor¹,

Soror

Sabherwal

2016

Information Systems Journal

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“…On the other hand, methods based on local neighbours consider network motifs (Li et al 2014) as important components. Such classical methods as common neighbours and the Jaccard index make recommendations by assigning a score reflecting numbers of triangular-motifs between two persons (Jaccard 1901, Li et al 2014, Cannistraci and Alanis-Lobato 2013. Therefore, we denote such methods as local methods.…”

Section: Introductionmentioning

confidence: 99%

GLORY: Exploration and integration of global and local correlations to improve personalized online social recommendations

2017

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Nowadays people manage their social circles via a variety of online social media which employ social recommendation as an important component. Among social recommendation methods, global methods take an emphasis on common tastes between people while local methods assume that new relations are established mainly through people's common friends. However, in a real social network, both local and global relations exist, which motivate us to integrate them to improve recommendation performance. To achieve the goal, we proposed a novel hybrid method GLORY to combine global associations with local correlations for social recommendation. GLORY consists of two components: GLOBE and LORY. The former is a globalised regression model to explore the concordance between people's preference with the relatedness of their friends. The latter is an integration method to fuse global and local correlations via a rigorous statistical model to calibrate the statistical significance of these correlations. Furthermore, we demonstrated the effectiveness of our methods via 10-fold large-scale cross-validation on three real social network datasets (Facebook, Last.fm and Epinions). Results show that GLORY significantly outperform the state-of-the-art methods while LORY is effective across various global and local methods, indicating their promising future for social recommendations.

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The Role of Online Encyclopedias in Knowledge Management and Preservation of Ukrainian Cultural Heritage

Iatsyshyn,

Boiko,

Hryhorenko

et al. 2024

Digital Technologies in Education

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A recommender mechanism for social knowledge navigation in an online encyclopedia

Cited by 12 publications

References 36 publications

Diffusion of knowledge in social media networks: effects of reputation mechanisms and distribution of knowledge roles

Diffusion of knowledge in social media networks: effects of reputation mechanisms and distribution of knowledge roles

GLORY: Exploration and integration of global and local correlations to improve personalized online social recommendations

The Role of Online Encyclopedias in Knowledge Management and Preservation of Ukrainian Cultural Heritage

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