Related Experiment Video
Updated: May 8, 2026
07:34
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
The discrimination power of structural SuperIndices
Matthias Dehmer1, Abbe Mowshowitz
1Institute for Bioinformatics and Translational Research, Hall in Tyrol, Austria. matthias.dehmer@umit.at
Plos One
|August 13, 2013
Summary
Structural superindices effectively discriminate graph properties, outperforming individual graph descriptors. Statistical analysis confirms their utility for large graph datasets, enhancing structural analysis capabilities.
Area of Science:
- Graph theory and network analysis
- Computational mathematics
- Data science and machine learning
Background:
- Graph descriptors are crucial for understanding network structures.
- Superindices, composed of multiple structural indices, offer a potentially richer representation.
- The discriminative power of superindices compared to individual descriptors remains underexplored.
Purpose of the Study:
- To evaluate the discrimination power of structural superindices for graphs.
- To compare the effectiveness of superindices against individual graph descriptors.
- To generalize findings through statistical analysis for large-scale graph applications.
Main Methods:
- Definition and calculation of structural superindices.
- Comparative analysis of discrimination power using various graph datasets.
- Statistical modeling to validate findings across different graph sizes.
Main Results:
- Structural superindices demonstrate superior discrimination power compared to individual graph descriptors.
- The enhanced discriminatory capability of superindices is statistically significant.
- Findings are robust and applicable to large, complex graph structures.
Conclusions:
- Structural superindices offer a more powerful approach to graph characterization.
- These findings suggest superindices as valuable tools for advanced graph analysis.
- The study provides a foundation for utilizing superindices in large-scale network science.
Related Concept Videos
02:16Stereotype Content Model
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
02:55Stereotypes, Prejudice, and Discrimination
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who are...
02:09Stereotype Threat and Self-fulfilling Prophecies
When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
01:31In- and Out-Groups
People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.
01:20Method of Superposition
The method of superposition is a crucial technique in structural engineering, used to analyze the effect of multiple loads on beams. This approach involves calculating the deflection and slope for each load on a beam separately, and then summing these effects to determine the overall impact. It is applicable only when the beam material remains within its elastic limit, ensuring that deformations are linearly elastic.
When applying the method of superposition, each type of load—whether...
When applying the method of superposition, each type of load—whether...
01:30Introduction to Structures
A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
There are three main...