The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Temporal motifs reveal homophily, gender-specific patterns, and group talk in call sequences
Open accessAbstract
Significance: Social ties are more common between individuals with similar traits, a feature known as homophily. Ties are also known to be stronger between individuals with multiple common acquaintances. Both of these two properties constrain the flow of information and ideas in social networks. We study time-dependent communication patterns in a large mobile phone communication dataset and show that both of these two properties are in fact stronger than can be observed in any static snapshot of a communication network. The methods developed to obtain these results can be used more generally to study various time-dependent networks.
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
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
Network motifs: simple building blocks of complex networks.
Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002) · Science · doi:10.1126/science.298.5594.824 · Cited by 7,368
Uncovering the overlapping community structure of complex networks in nature and society
Palla, G., Derényi, I., Farkas, I., & Vicsek, T. (2005) · Nature · doi:10.1038/nature03607 · Cited by 5,373
Holme, P., & Saramäki, J. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.001 · Cited by 2,736
Self-citationA 61-million-person experiment in social influence and political mobilization
Bond, R. M., Fariss, C. J., Jones, J. J., Kramer, A. D. I., Marlow, C., Settle, J. E., & Fowler, J. H. (2012) · Nature · doi:10.1038/nature11421 · Cited by 2,575
The origin of bursts and heavy tails in human dynamics
Barabási, A.-L. (2005) · Nature · doi:10.1038/nature03459 · Cited by 2,210
Tastes, ties, and time: a new social network dataset using Facebook.com
Lewis, K., Kaufman, J., Gonzalez, M., Wimmer, A., & Christakis, N. (2008) · Social Networks · doi:10.1016/j.socnet.2008.07.002 · Cited by 1,024
Cited by
Modern temporal network theory: a colloquium
Holme, P. (2015) · The European Physical Journal B · doi:10.1140/epjb/e2015-60657-4 · Cited by 734
A survey of results on mobile phone datasets analysis
Blondel, V. D., Decuyper, A., & Krings, G. (2015) · EPJ Data Science · doi:10.1140/epjds/s13688-015-0046-0 · Cited by 647
Dynamics of information diffusion and its applications on complex networks
Zhang, Z.-K., Liu, C., Zhan, X.-X., Lu, X., Zhang, C.-X., & Zhang, Y.-C. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.07.002 · Cited by 484
Inferring Social Status and Rich Club Effects in Enterprise Communication Networks
Dong, Y., Tang, J., Chawla, N. V., Lou, T., Yang, Y., & Wang, B. (2015) · PLOS ONE · doi:10.1371/journal.pone.0119446 · Cited by 438
Metadata
- Authors
- Kovanen, L., Kaski, K., Kertész, J., & Saramäki, J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-10-21
- Volume
- 110
- Issue
- 45
- Pages
- 18070-18075
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1758345311
- Cited by
- 169
- References
- 8
- FWCI
- 11.00
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Temporal motifs reveal homophily, gender-specific patterns, and group talk in call sequences. https://app.cochat.ai/papers/10.1073/pnas.1307941110
- The paper
- Kovanen, L., Kaski, K., Kertész, J., & Saramäki, J. (2013). Temporal motifs reveal homophily, gender-specific patterns, and group talk in call sequences. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1307941110
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.
