Regulatory networks as large and complex as those implicated in cell-fate choice are expected to exhibit intricate, very high-dimensional dynamics. Cell-fate choice, however, is a macroscopically simple process. Additionally, regulatory network models are almost always incomplete and/or inexact, and do not incorporate all the regulators and interactions that may be involved in cell-fate regulation. In spite of these issues, regulatory network models have proven to be incredibly effective tools for understanding cell-fate choice across contexts and for making useful predictions. Here, we show that minimal frustration—a feature of biological networks across contexts but not of random networks—can compel simple, low-dimensional steady-state behavior even in large and complex networks. Moreover, the steady-state behavior of minimally frustrated networks can be recapitulated by simpler networks such as those lacking many of the nodes and edges and those that treat multiple regulators as one. The present study provides a theoretical explanation for the success of network models in biology and for the challenges in network inference.
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Bridging Barriers: A Survey of Challenges and Priorities in the Censorship Circumvention Landscape
The ecosystem of censorship circumvention tools (CTs) re- mains one of the most opaque and least understood, overshad- owed by the precarious legal status around their usage and operation, and the risks facing those directly involved. Used by hundreds of millions of users across the most restricted networks, these tools circulate not through advertisements but word-of-mouth, distributed not through appstores but under- ground networks, and adopted not out of trust but from the sheer necessity for information access. This paper aims to elucidate the dynamics and challenges of the CT ecosystem, and the needs and priorities of its stake- holders. We perform the first multi-perspective study, sur- veying 12 leading CT providers that service upwards of 100 million users, combined with experiences from CT users in Russia and China. Beyond the commonly cited technical challenges and disruptions from censors, our study also high- lights funding constraints, usability issues, misconceptions, and misbehaving players, all of which similarly plague the CT ecosystem. Having the unique opportunity to survey these at-risk CT stakeholders, we outline key future priorities for those involved. We hope our work encourages further research to advance our understanding of this complex and uniquely challenged ecosystem.
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- Award ID(s):
- 2237552
- PAR ID:
- 10587798
- Publisher / Repository:
- USENIX Association
- Date Published:
- ISBN:
- 978-1-939133-44-1
- Format(s):
- Medium: X
- Location:
- Philadelphia PA USA
- Sponsoring Org:
- National Science Foundation
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