degree of centrality

USAGE SUMMARY

The phrase "degree of centrality" is correct and usable in written English.
It can be used in contexts related to statistics, social network analysis, or any field where the importance or influence of a node or element within a network is being discussed. Example: "In social network analysis, the degree of centrality of an individual can indicate their influence within the group."

✓ Grammatically correct

Science

Academia

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

30 human-written examples

With respect to organizational network structure, degree of centrality had a significant effect on both exploitation and exploration.

Computers in Human Behavior

With convergent synthesis in mind, we defined a new parameter to quantify the degree of centrality of each atom and bond in a molecule, so-called molecular centrality, which was defined based on squared node distances.

Tetrahedron

We argue that project-entrepreneurs' performance is related to their degree of centrality within the social network, and their familiarity with the selected project-team as captured by the distribution of ties among team members.

Research Policy

The degree of centrality is the number of agents to which a node is directly attached.

International Journal of Educational Technology in Higher Education

Indeed, the degree of centrality on the research network affects the performance of the firm.

Journal of Global Entrepreneurship Research

It boosts technological innovation in companies in its environment; in all networks, it acts as one of the bridging nodes and it has a significant degree of centrality.

International Journal of Educational Technology in Higher Education

Human-verified similar examples from authoritative sources

Similar Expressions

29 human-written examples

The relative importance of the contract market segments differs between areas with different degrees of centrality (see Fig. 2a, b).

European Transport Research Review

To address this gap, in this paper we test a set of hypotheses on how the diversity of prior art and the degree of technological centrality of knowledge affect the subsequent flow of this knowledge within and across technologies.

Research Policy

In a dynamic virtual community, the direct result of knowledge sharing behavior is reflected in the individual status position (the degree of node centrality).

Frontiers of Business Research in China

In the dynamic virtual community, the direct result of knowledge sharing behavior is reflected in the individual position (the degree of node centrality).

Frontiers of Business Research in China

One primary criterion used for the identification of the aforementioned genes was a high degree of Betweenness Centrality (BC) relative to the rest of the integrated network [ 23].

BMC Medical Genomics

Expert writing Tips

Best practice

When discussing social networks or data analysis, use "degree of centrality" to clearly indicate the number of direct connections a node has. This is a specific and widely understood term in these fields.

Common error

Avoid using "degree of centrality" interchangeably with other centrality measures like betweenness or closeness centrality. Each metric provides different insights into a node's position and influence within a network.

Linguistic Context

The phrase "degree of centrality" functions as a noun phrase used to describe a specific metric in network analysis. It quantifies the number of direct connections a node has, indicating its immediate influence or activity. As Ludwig AI shows, it's frequently used in scientific literature.

Expression frequency: Common

Frequent in

Science

75%

Academia

15%

Formal & Business

10%

Less common in

News & Media

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "degree of centrality" is a common and grammatically correct term used primarily in scientific and academic contexts. As Ludwig AI confirms, it serves to quantify the number of direct connections a node possesses within a network, thus measuring its immediate influence. While alternatives like "level of centrality" or "extent of centrality" exist, "degree of centrality" maintains a specific meaning within network analysis. Remember to distinguish it from other centrality measures to avoid confusion. Its usage is prevalent in scientific literature, as seen across various sources like ScienceDirect and BioMed Central, making it an essential term for anyone working with network data.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

level of centrality

Replaces "degree" with "level", emphasizing the extent of centrality.

extent of centrality

Uses "extent" instead of "degree", focusing on the range or scope of centrality.

measure of centrality

Focuses on the quantifiable aspect of centrality, rather than its level.

centrality score

Simplifies the phrase to focus on the numerical representation of centrality.

importance in the network

Shifts the focus to the overall importance within a network.

influence within the network

Highlights the impact or sway a node has within the network.

position of influence

Emphasizes the advantageous location or status within a structure.

prominence in the network

Uses "prominence" to convey a sense of standing out or being noticeable.

significance in the system

Broadens the context to any system, not just networks.

relevance in the structure

Highlights the pertinence or applicability within a defined structure.

FAQs

What does "degree of centrality" measure in a network?

The "degree of centrality" measures the number of direct connections a node has within a network. It indicates how many nodes are directly linked to a particular node, reflecting its immediate influence or activity.

How is "degree of centrality" different from other centrality measures?

While "degree of centrality" focuses on direct connections, other measures like "betweenness centrality" and "closeness centrality" consider a node's position in relation to all other nodes in the network. Betweenness centrality identifies nodes that bridge different parts of the network, and closeness centrality measures the average distance from a node to all other nodes.

In what contexts is "degree of centrality" most often used?

The term "degree of centrality" is frequently used in network analysis, social sciences, and data science to analyze relationships and influence within networks. It helps identify key nodes with many direct connections.

What are some alternatives to "degree of centrality"?

Alternatives include phrases like "level of centrality", "extent of centrality", or simply "centrality score", depending on the specific nuance you want to convey. The best choice depends on the context and desired level of detail.