Zobrazeno 1 - 10
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pro vyhledávání: '"Amancio, Diego R."'
The impact of research papers, typically measured in terms of citation counts, depends on several factors, including the reputation of the authors, journals, and institutions, in addition to the quality of the scientific work. In this paper, we prese
Externí odkaz:
http://arxiv.org/abs/2407.19942
This study examines the effects of de-globalization trends on international trade networks and their role in improving forecasts for economic growth. Using section-level trade data from nearly 200 countries from 2010 to 2022, we identify significant
Externí odkaz:
http://arxiv.org/abs/2404.08712
Random walks find extensive application across various complex network domains, including embedding generation and link prediction. Despite the widespread utilization of random walks, the precise impact of distinct biases on embedding generation from
Externí odkaz:
http://arxiv.org/abs/2308.03636
The identification of the most significant concepts in unstructured data is of critical importance in various practical applications. Despite the large number of methods that have been put forth to extract the main topics of texts, a limited number o
Externí odkaz:
http://arxiv.org/abs/2301.06168
Many real-world systems give rise to a time series of symbols. The elements in a sequence can be generated by agents walking over a networked space so that whenever a node is visited the corresponding symbol is generated. In many situations the under
Externí odkaz:
http://arxiv.org/abs/2211.06657
Autor:
da Silva, Giovana D., Silva, Filipi N., de Arruda, Henrique F., Souza, Bárbara C. e, Costa, Luciano da F., Amancio, Diego R.
Artistic pieces can be studied from several perspectives, one example being their reception among readers over time. In the present work, we approach this interesting topic from the standpoint of literary works, particularly assessing the task of pre
Externí odkaz:
http://arxiv.org/abs/2210.02334
Sequences arise in many real-world scenarios; thus, identifying the mechanisms behind symbol generation is essential to understanding many complex systems. This paper analyzes sequences generated by agents walking on a networked topology. Given that
Externí odkaz:
http://arxiv.org/abs/2206.15190
Detecting keywords in texts is important for many text mining applications. Graph-based methods have been commonly used to automatically find the key concepts in texts, however, relevant information provided by embeddings has not been widely used to
Externí odkaz:
http://arxiv.org/abs/2205.02172
Autor:
Souza, Bárbara C. e, Silva, Filipi N., de Arruda, Henrique F., da Silva, Giovana D., Costa, Luciano da F., Amancio, Diego R.
Publikováno v:
Information Sciences (2023)
Several complex systems are characterized by presenting intricate characteristics taking place at several scales of time and space. These multiscale characterizations are used in various applications, including better understanding diseases, characte
Externí odkaz:
http://arxiv.org/abs/2201.06665
Science has become more collaborative over the past years, a phenomenon that is related to the increase in the number of authors per paper and the emergence of interdisciplinary works featuring specialists of different fields. In such a environment,
Externí odkaz:
http://arxiv.org/abs/2112.06607