Related Experiment Video
Updated: Mar 11, 2026
09:49
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
Published on: September 25, 2021
4.9K
Effective information spreading based on local information in correlated networks
Lei Gao1,2, Wei Wang1,2, Liming Pan1,2
1Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610054, China.
Scientific Reports
|December 3, 2016
Summary
This study introduces a preferential contact strategy to accelerate information spreading in complex networks. Favoring low-degree neighbors and moderate degree-degree correlations significantly reduces spreading time.
Area of Science:
- Network Science
- Information Spreading Dynamics
- Complex Systems
Background:
- Information spreading is crucial in complex networks.
- Understanding spreading dynamics in degree-correlated networks is essential.
- Existing strategies may not fully leverage local network information.
Purpose of the Study:
- To propose a preferential contact strategy to enhance information spreading.
- To investigate the impact of local network structure and informed density on spreading efficiency.
- To optimize information dissemination in degree-correlated networks.
Main Methods:
- Developing a preferential contact strategy based on local degree and informed density.
- Conducting numerical simulations on synthetic and empirical networks.
- Analyzing the convergence time of information spreading under different strategies.
Main Results:
- Favoring low-degree neighbors significantly reduces information spreading convergence time.
- Moderate degree-degree correlation optimizes spreading efficiency.
- Incorporating local informed density further accelerates spreading, minimized by moderate preferential selection.
Conclusions:
- The proposed preferential contact strategy effectively promotes information spreading.
- Local network structure and informed density are key factors in optimizing spreading dynamics.
- Tailored contact strategies can significantly improve information dissemination efficiency in complex networks.
More Related Videos
Related Concept Videos
00:54Distribution and Dispersion
25.8K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
25.8K
01:18Steps in Outbreak Investigation
660
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
660
02:20Correlations
36.9K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.9K
01:09Correlation
15.5K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.5K
00:59Propagation of Uncertainty from Random Error
2.1K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
2.1K
01:01Group Polarization
39.3K
Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
39.3K