Related Experiment Video
Updated: Apr 21, 2026
07:28
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
2.7K
Network models. Response to Comment on "Control profiles of complex networks"
1Engineering Systems and Design, Singapore University of Technology and Design, Singapore. justinruths@sutd.edu.sg.
Science (New York, N.Y.)
|November 1, 2014
Summary
Researchers adapted the Barabási-Albert model for network formation, allowing tunable control profiles. This work identifies limitations and future directions for refining synthetic network control mechanisms.
Area of Science:
- Network Science
- Computational Modeling
Background:
- The Barabási-Albert model is a foundational framework for understanding network formation.
- Control profiles are crucial for network functionality and behavior.
Purpose of the Study:
- To present an adaptation of the Barabási-Albert model for tunable network control profiles.
- To explore the implications and limitations of this adapted model.
Main Methods:
- Adaptation of the established Barabási-Albert network formation model.
- Analysis of control profile tuning capabilities within the modified model.
Main Results:
- The proposed adaptation allows for a degree of control over network formation profiles.
- Identified limitations and potential generalizations of the adapted model.
Conclusions:
- The modified Barabási-Albert model offers a pathway to engineer synthetic networks with specific control profiles.
- Further research is needed to refine formation mechanisms for enhanced control profile tuning.
More Related Videos
Related Concept Videos
02:26Protein Networks
3.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.6K
02:26Protein Networks
1.8K
1.8K
02:04Covalently Linked Protein Regulators
1.3K
1.3K
02:04Covalently Linked Protein Regulators
8.2K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
These groups modify specific amino acids in a protein....
8.2K
01:19Interactions Between Signaling Pathways
4.6K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
4.6K
01:25Network Function of a Circuit
1.1K
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
1.1K