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Université de Fribourg

Conceptualizing the Dialogical Structure of Mass Communication : a Comparison of the Dialogical Networks and Mediated Social Communication Approaches

Baumgartner, Antonia ; Fürst, Silke ; Schönhagen, Philomen

In: Discourse, Context & Media, 2021, vol. 44, p. 1-9

Theoretical contributions conceptualizing dialogical processes and structures of mass communication are scattered, hence different disciplines work on the same issues without uniting their potentials. The mediated social communication (MSC) approach developed by German communication scholars and the dialogical network (DN) approach informed by ethnomethodology and conversation analysis share...

Università della Svizzera italiana

Analyzing cultural localization in online tourism promotion

Mele, Emanuele ; Cantoni, Lorenzo (Dir.) ; Kerkhof, Peter (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020COM006.

Tourism and culture are strongly intertwined. People can experience culture before, during and after their journey, both in the offline and in the online world. Arguably, the internet is among the main sources of inspiration and information retrieval for tourists, who navigate social media and websites to know more about the destination, its products and services. Following the developments in...

Università della Svizzera italiana

Liquid web applications : design and implementation of the decentralized cross-device web

Gallidabino, Andrea ; Pautasso, Cesare (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO006.

Web applications are traditionally designed having in mind a server-centric architecture, whereby the whole persistent data, dynamic state and logic of the application are stored and running on a Web server. The clients running in the Web browsers traditionally render only pre-computed views fetched from the server. Nowadays this centralized approach does not fit well with the kind of...

Université de Fribourg

Multiscale community estimation based on temporary local balancing strategy

Zhou, Qiang ; Cai, Shi-Min ; Zhang, Yi-Cheng

In: International Journal of Modern Physics C, 2020, vol. 31, no. 04, p. 2050056

Community division in complex networks has become one of the hot topics in the field of network science. Most of the methods developed based on network topology ignore the dynamic characteristics underlying the structure. By exploring the diffusion process in the network based on random walk, this paper sums up the general rule with temporal characteristics as a temporary local balancing...

Université de Fribourg

Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data

Xu, Shuqi ; Mariani, Manuel Sebastian ; Lü, Linyuan ; Medo, Matúš

In: Journal of Informetrics, 2020, vol. 14, no. 1, p. 101005

Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent. We assess 17 network-based metrics by their ability to identify milestone papers and patents in three large citation datasets. We find that traditional information-retrieval evaluation...

Université de Fribourg

Ranking game on networks: The evolution of hierarchical society

Zhang, Xin-Jie ; Tanga, Yong ; Xiong, Jason ; Wang, Wei-Jia ; Zhang, Yi-Cheng

In: Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, p. 123140

Interacting with each other, individuals in a population form various social network topologies. Models of evolutionary games on networks provide insight into how the collective behaviors of structured populations are influenced by individual decision making and network topologies. In a hierarchical society, many social resources are allocated according to certain social rankings, such as...

Université de Fribourg

Parallel heuristic community detection method based on node similarity

Zhou, Qiang ; Cai, Shi-Min ; Zhang, Yi-Cheng

In: IEEE Access, 2019, vol. 7, p. 184145–184159

Community structure discovery can help us better understand the capabilities and functions of the network. However, many existing methods have failed to identify nodes in communities accurately. In this paper, we proposed a heuristic community detection method based on node similarities that are computed by assigning different edge weight influence factors based on different neighbor types of...

Université de Fribourg

K-core: Theories and applications

Kong, Yi-Xiu ; Shi, Gui-Yuan ; Wu, Rui-Jie ; Zhang, Yi-Cheng

In: Physics Reports, 2019, vol. 832, p. 1–32

With the rapid development of science and technology, the world is becoming increasingly connected. The following dire need for understanding both the relationships amongst individuals and the global structural characteristics brings forward the study of network sciences and many interdisciplinary subjects in recent years. As a result, it is crucial to have methods and algorithms that help us...