The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media
Open accessAbstract
An increasing fraction of today's social interactions occur using online social media as communication channels. Recent worldwide events, such as social movements in Spain or revolts in the Middle East, highlight their capacity to boost people's coordination. Online networks display in general a rich internal structure where users can choose among different types and intensity of interactions. Despite this, there are still open questions regarding the social value of online interactions. For example, the existence of users with millions of online friends sheds doubts on the relevance of these relations. In this work, we focus on Twitter, one of the most popular online social networks, and find that the network formed by the basic type of connections is organized in groups. The activity of the users conforms to the landscape determined by such groups. Furthermore, Twitter's distinction between different types of interactions allows us to establish a parallelism between online and offline social networks: personal interactions are more likely to occur on internal links to the groups (the weakness of strong ties); events transmitting new information go preferentially through links connecting different groups (the strength of weak ties) or even more through links connecting to users belonging to several groups that act as brokers (the strength of intermediary ties).
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
Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293
What is Twitter, a social network or a news media?
Kwak, H., Lee, C., Park, H., & Moon, S. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772751 · Cited by 6,652
The spread of behavior in an online social network experiment
Centola, D. (2010) · Science · doi:10.1126/science.1185231 · Cited by 2,692
Neocortex size as a constraint on group size in primates
Dunbar, R. I. M. (1992) · Journal of Human Evolution · doi:10.1016/0047-2484(92)90081-j · Cited by 2,542
Complex Contagions and the Weakness of Long Ties
Centola, D., & Macy, M. (2007) · American Journal of Sociology · doi:10.1086/521848 · Cited by 1,878
Marsden, P. V., & Campbell, K. E. (1984) · Social Forces · doi:10.1093/sf/63.2.482 · Cited by 1,731
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
Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number
Gonçalves, B., Perra, N., & Vespignani, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0022656 · Cited by 638
Ratkiewicz (2011) · doi:10.1145/1963192.1963301 · Cited by 541
Cited by
The “online brain”: How the Internet may be changing our cognition
Firth, J., Torous, J., Stubbs, B., Firth, J. A., Steiner, G. Z., Smith, L., Alvarez‐Jimenez, M., Gleeson, J., Vancampfort, D., Armitage, C. J., et al. (2019) · World Psychiatry · doi:10.1002/wps.20617 · Cited by 694
Virality Prediction and Community Structure in Social Networks
Weng, L., Menczer, F., & Ahn, Y.-Y. (2013) · Scientific Reports · doi:10.1038/srep02522 · Cited by 512
Assessing the bias in samples of large online networks
González-Bailón, S., Wang, N., Rivero, A., Borge-Holthoefer, J., & Moreno, Y. (2014) · Social Networks · doi:10.1016/j.socnet.2014.01.004 · Cited by 238
Limited communication capacity unveils strategies for human interaction
Miritello, G., Lara, R., Cebrian, M., & Moro, E. (2013) · Scientific Reports · doi:10.1038/srep01950 · Cited by 214
Self-citationQuantifying echo chamber effects in information spreading over political communication networks
Cota, W., Ferreira, S. C., Pastor-Satorras, R., & Starnini, M. (2019) · EPJ Data Science · doi:10.1140/epjds/s13688-019-0213-9 · Cited by 146
Metadata
- Authors
- Grabowicz, P. A., Ramasco, J. J., Moro, E., Pujol, J. M., & Eguiluz, V. M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-01-11
- Volume
- 7
- Issue
- 1
- Pages
- e29358
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1968478384
- Cited by
- 263
- References
- 9
- FWCI
- 25.54
- Type
- journal article
- Language
- en
- Open access
- gold
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: Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media. https://app.cochat.ai/papers/10.1371/journal.pone.0029358
- The paper
- Grabowicz, P. A., Ramasco, J. J., Moro, E., Pujol, J. M., & Eguiluz, V. M. (2012). Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media. PLoS ONE. https://doi.org/10.1371/journal.pone.0029358
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.