In: Journal of Computational Neuroscience, 2015, vol. 38, no. 3, p. 439-459
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In: Bioinformatics, 2018, vol. 34, no. 16, p. 2808-2816
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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...
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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...
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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...
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In: Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, p. 121004
When the product quality is limited and the information capability is variable, we propose the enterprise enhances corporate profits by changing the relationship between market demand and external resources. We assume that the information capacity can be changed through the input of external resources. In this paper, we present a research agenda that empowers external resources to transform...
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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...
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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...
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Mémoire de bachelor : Haute école de gestion de Genève, 2019 ; TDIBM 59.
The 2019 edition of the China Hardware Innovation Camp (CHIC), in which the author is representing the Geneva School of Business Administration, has seen a growth in the number of teams which raised managerial and promotional questions. The importance to address the communication side of CHIC has grown since the ultimate objective of its founders, Marc Laperrouza and Marius Aeberli, is to scale...
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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...
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