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20062026
most citedHeat Conduction Process on Community Networks as a Recommendation Model

253 citations · 323 across the 10 of their papers we have counts for

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physics.soc-ph2013

The Role of Trends in Evolving Networks

Osnat Mokryn, Marcel Blattner, Yuval Shavitt

Modeling complex networks has been the focus of much research for over a decade. Preferential attachment (PA) is considered a common explanation to the self organization of evolvin…

physics.soc-ph2013★ 15 cited

Preferential Attachment in Online Networks: Measurement and Explanations

Jérôme Kunegis, Marcel Blattner, Christine Moser

We perform an empirical study of the preferential attachment phenomenon in temporal networks and show that on the Web, networks follow a nonlinear preferential attachment model in…

physics.soc-ph2012★ 2 cited

Recommendation systems in the scope of opinion formation: a model

Marcel Blattner, Matus Medo

Aggregated data in real world recommender applications often feature fat-tailed distributions of the number of times individual items have been rated or favored. We propose a model…

physics.soc-ph2008★ 253 cited

Heat Conduction Process on Community Networks as a Recommendation Model

Yi-Cheng Zhang, Marcel Blattner, Yi-Kuo Yu

Using heat conduction mechanism on a social network we develop a systematic method to predict missing values as recommendations. This method can treat very large matrices that are…

physics.soc-ph2006★ 34 cited

Exploring an opinion network for taste prediction: an empirical study

Marcel Blattner, Yi-Cheng Zhang, Sergei Maslov

We develop a simple statistical method to find affinity relations in a large opinion network which is represented by a very sparse matrix. These relations allow us to predict missi…