The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Importance of Relationship Timing for Diffusion
Abstract
Relationship timing can have dramatic effects on diffusion through a network, as relationship order determines transmission routes. Though past research has modeled diffusion through static networks or developed methods for modeling change in network patterns, none has combined these factors to show how relationship change channels diffusion. This article formalizes the diffusion problem in networks with changing relations, identifies minimal bounds needed to measure diffusion potential in such networks, and provides a method for identifying who is at risk for diffusion. The effect of timing for diffusion potential is demonstrated with potential flow of sexually transmitted diseases (STDs) in an adolescent romantic network.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Networks, Dynamics, and the Small‐World Phenomenon
Watts, D. J. (1999) · American Journal of Sociology · doi:10.1086/210318 · Cited by 1,510
Cited by
Holme, P., & Saramäki, J. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.001 · Cited by 2,736
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
Chains of affection: the structure of adolescent romantic and sexual networks
Bearman, P. S., Moody, J., & Stovel, K. (2004) · American Journal of Sociology · doi:10.1086/386272 · Cited by 817
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
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
Morris, M., Kurth, A. E., Hamilton, D. T., Moody, J., & Wakefield, S. (2009) · American Journal of Public Health · doi:10.2105/ajph.2008.147835 · Cited by 310
Self-citationTemporal dynamics and network analysis
Blonder, B., Wey, T. W., Dornhaus, A., James, R., & Sih, A. (2012) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00236.x · Cited by 254
Metadata
- Authors
- Moody, J.
- Venue
- Social Forces
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-09-01
- Volume
- 81
- Issue
- 1
- Pages
- 25-56
- ISSN
- 0037-7732 (ISSN-L)
- 1534-7605
- OpenAlex
- W2160642361
- Cited by
- 204
- References
- 1
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
