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Haute Ecole de Gestion & Tourisme

Interactive web interface for the configuration of imaging and patient data anonymization

Viriot, Audrey ; Depeursinge, Adrien (Dir.)

Mémoire de bachelor : Haute Ecole de Gestion & Tourisme, 2020.

Karnak is a tool with normalization and de-identification capabilities for medical images in DICOM format. It is used in medical research in order to anonymize all information that can be sensitive. Algorithms of normalization and de-identification are under development by the Karnak team, but no user interface exists. Karnak is destined to be in a research pipeline. The purpose of this...

Università della Svizzera italiana

Text mining for online mental health state and personality assessment

Ríssola, Esteban A. ; Crestani, Fabio (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO009.

Advances on psycho-linguistics have evidenced that the ways in which people use words could act as a reliable source to assess a wide array of behaviours. Language use acts as an indicator of the individuals’ current mental state, personality and even personal values. In this thesis, we focus on language analysis to study two closely related processes which encompass integral components of...

Università della Svizzera italiana

From facet-based to visualised digital library interfaces : an empirical study of user experiences with digital libraries

Barifah, Maram Hassan ; Crestani, Fabio (Dir.) ; Landoni, Monica (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO004.

Digital library (DL) systems in the last decade have provided an unprecedented access to library content that were confined to their physical spaces. The last twenty years of the DL system renovation have witnessed several generations of online catalogs from the Online Public Access Catalogue (OPAC) late 1980s, to the next generation catalog systems (NGC). DL systems are extensively used to...

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...

Université de Fribourg

How network topologies impact project alliance performance: evidence from the movie industry

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

In: Entropy, 2019, vol. 21, no. 9, p. 859

In many industries, partners are interconnected in project alliances that have limited lifespans and clearly-defined boundaries. The transparency of the movie industry provides a unique opportunity to study how alliance network topologies impact the performance of project alliances from the perspectives of social networks and organization theories. In this work, we compiled a massive movie...