The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Quantifying the effect of temporal resolution on time-varying networks
Open accessAbstract
Time-varying networks describe a wide array of systems whose constituents and interactions evolve over time. They are defined by an ordered stream of interactions between nodes, yet they are often represented in terms of a sequence of static networks, each aggregating all edges and nodes present in a time interval of size Δ t. In this work we quantify the impact of an arbitrary Δ t on the description of a dynamical process taking place upon a time-varying network. We focus on the elementary random walk and put forth a simple mathematical framework that well describes the behavior observed on real datasets. The analytical description of the bias introduced by time integrating techniques represents a step forward in the correct characterization of dynamical processes on time-varying graphs.
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Cites
Holme, P., & Saramäki, J. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.001 · Cited by 2,736 · cited 2×
“ization of dynamical processes on timevarying graphs. Time-varying networks are ubiquitous. Examples are found in the social, cognitive, technological and ecological domains as well as in many others [1]. The temporal nature of such systems has a deep in uence on dynamical processes occurring on top of them [2{21]. In…”
Dynamical Processes on Complex Networks
Barrat, A., Barthélemy, M., & Vespignani, A. (2008) · doi:10.1017/cbo9780511791383 · Cited by 2,704
Activity driven modeling of time varying networks
Perra, N., Gonçalves, B., Pastor-Satorras, R., & Vespignani, A. (2012) · Scientific Reports · doi:10.1038/srep00469 · Cited by 709
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Cited by
Statistical physics of vaccination
Wang, Z., Bauch, C. T., Bhattacharyya, S., d'Onofrio, A., Manfredi, P., Perc, M., Perra, N., Salathé, M., & Zhao, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.006 · Cited by 872
Self-citationModern temporal network theory: a colloquium
Holme, P. (2015) · The European Physical Journal B · doi:10.1140/epjb/e2015-60657-4 · Cited by 734
Metadata
- Authors
- Ribeiro, B., Perra, N., & Baronchelli, A.
- Venue
- Scientific Reports
- Published
- 2013-10-21
- Volume
- 3
- Issue
- 1
- Pages
- 3006-3006
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2165579348
- Cited by
- 174
- References
- 3
- FWCI
- 10.05
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ribeiro, B., Perra, N., & Baronchelli, A. (2013). Quantifying the effect of temporal resolution on time-varying networks. Scientific Reports. https://doi.org/10.1038/srep03006
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
