异性恐惧相互作用阻碍了稀疏的随机网络中的共识形成
Alejandro Castro1, Tuan Minh Pham2,3, Ernesto Ortega4
1University of Havana, Group of Complex Systems and Statistical Physics, Department of Theoretical Physics, Havana, Cuba.
Physical review. E
|January 21, 2026
概括
异性恐惧,对不同意见的排斥,可以阻止网络上的社会共识. 这种影响取决于相互作用的强度和个人的理性,改变共识的出现和稳定性.
科学领域:
- 社交网络动态 社交网络动态
- 社会物理学的社会物理.
- 意见形成建模 意见形成建模
背景情况:
- 异性恐惧的互动,就像同性恋的互动一样,显著地塑造了社交网络的动态.
- 这些相互作用影响了诸如意见形成,社会平衡和流行病传播等过程.
研究的目的:
- 调查异性恐惧如何影响社交网络中的共识形成.
- 分析从共识到无共识的过渡,在不同的异性恐惧强度和个人理性下.
主要方法:
- 利用了信念传播和蒙特卡洛模拟.
- 雇员们像树一样签名图表来建模社会互动.
- 分析了相位过渡和参数区域,以达成共识.
主要成果:
- 足够的异种恐惧症可以阻碍通过阶段过渡形成共识,否则会通过阶段过渡发生.
- 随着异种恐惧症的强度和个人理性性的下降,共识过渡从连续转变为不连续.
- 共识稳定性显示出对初始条件的强烈依赖.
结论:
- 异性恐惧症是社会共识动态的一个关键因素,与同性恐惧症相比.
- 共识的出现和稳定性对异种恐惧,理性和网络结构之间的相互作用是敏感的.
- 达成共识的参数空间随着主题数量的增加而减少.
相关概念视频
Protein Networks
4.5K
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,...
4.5K
Random Error
9.1K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.1K
Random Variables
17.5K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.5K
Randomized Experiments
8.9K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
8.9K
Formation of Species
44.7K
Speciation describes the formation of one or more new species from one or sometimes multiple original species. The resulting species are discrete from the parent species, and barriers to reproduction will typically exist. There are two primary mechanisms, speciation with and without geographic isolation—allopatric and sympatric speciation, respectively.
44.7K
Network Covalent Solids
16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K


