Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Baingana, Brian"'
Directed networks are pervasive both in nature and engineered systems, often underlying the complex behavior observed in biological systems, microblogs and social interactions over the web, as well as global financial markets. Since their structures
Externí odkaz:
http://arxiv.org/abs/1610.08189
Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity
Structural equation models (SEMs) and vector autoregressive models (VARMs) are two broad families of approaches that have been shown useful in effective brain connectivity studies. While VARMs postulate that a given region of interest in the brain is
Externí odkaz:
http://arxiv.org/abs/1610.06551
Contagions such as the spread of popular news stories, or infectious diseases, propagate in cascades over dynamic networks with unobservable topologies. However, "social signals" such as product purchase time, or blog entry timestamps are measurable,
Externí odkaz:
http://arxiv.org/abs/1606.08882
Structural equation models (SEMs) have been widely adopted for inference of causal interactions in complex networks. Recent examples include unveiling topologies of hidden causal networks over which processes such as spreading diseases, or rumors pro
Externí odkaz:
http://arxiv.org/abs/1605.03122
Most real-world networks exhibit community structure, a phenomenon characterized by existence of node clusters whose intra-edge connectivity is stronger than edge connectivities between nodes belonging to different clusters. In addition to facilitati
Externí odkaz:
http://arxiv.org/abs/1506.07611
Visual rendering of graphs is a key task in the mapping of complex network data. Although most graph drawing algorithms emphasize aesthetic appeal, certain applications such as travel-time maps place more importance on visualization of structural net
Externí odkaz:
http://arxiv.org/abs/1401.4408
Many real-world processes evolve in cascades over complex networks, whose topologies are often unobservable and change over time. However, the so-termed adoption times when blogs mention popular news items, individuals in a community catch an infecti
Externí odkaz:
http://arxiv.org/abs/1309.6683
Visual rendering of graphs is a key task in the mapping of complex network data. Although most graph drawing algorithms emphasize aesthetic appeal, certain applications such as travel-time maps place more importance on visualization of structural net
Externí odkaz:
http://arxiv.org/abs/1302.0870
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