ArticleScientific reports2015
The dynamics of meaningful social interactions and the emergence of collective knowledge.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Quantum-inspired modeling of social impact in complex networks with artificial intelligent agents.Scientific reports · 2025Article
- Bursts of communication increase opinion diversity in the temporal Deffuant model.Scientific reports · 2024Article
- Associative linking for collaborative thinking: Self-organization of content in online Q&A communities via user-generated links.PloS one · 2024Article
- Collective patterns and stable misunderstandings in networks striving for consensus without a common value system.Scientific reports · 2022Article
- Article
- Efficient team structures in an open-ended cooperative creativity experiment.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- The central role of peripheral nodes in directed network dynamics.Scientific reports · 2019Article
- Article
- Mitigating Herding in Hierarchical Crowdsourcing Networks.Scientific reports · 2016Article
- A Statistical Physics Characterization of the Complex Systems Dynamics: Quantifying Complexity from Spatio-Temporal Interactions.Scientific reports · 2016Article
- Topology of Innovation Spaces in the Knowledge Networks Emerging through Questions-And-Answers.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Collective knowledge as a social value may arise in cooperation among actors whose individual expertise is limited. The process of knowledge creation requires meaningful, logically coordinated interactions, which represents a challenging problem to physics and social dynamics modeling. By combining two-scale dynamics model with empirical data analysis from a well-known Questions &Answers system Mathematics, we show that this process occurs as a collective phenomenon in an enlarged network (of actors and their artifacts) where the cognitive recognition interactions are properly encoded. The emergent behavior is quantified by the information divergence and innovation advancing of knowledge over time and the signatures of self-organization and knowledge sharing communities. These measures elucidate the impact of each cognitive element and the individual actor's expertise in the collective dynamics. The results are relevant to stochastic processes involving smart components and to collaborative social endeavors, for instance, crowdsourcing scientific knowledge production with online games.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.