Why might degree centrality be a measure of studiedness rather than biological importance?
Almost all biological networks are subject to study bias, meaning that nodes which are studied more extensively will have more known interactions. Consequently, degree centrality may reflect how well-studied a protein is, rather than its true biological significance.
Conditions
- Applies to biological networks subject to study bias.
- The network is a biological network, such as a protein interaction network.
Reasoning, step by step
- Identify the pervasive issue of study bias in biological networks.
- Recognize that more studied proteins accumulate a higher number of known interactions.
- Conclude that high degree centrality might simply indicate extensive research focus rather than inherent biological importance.
Example
If you are looking at a protein interaction network, you will almost certainly know more interactions if you study a protein more.
Common misconceptions
- Assuming that a high degree centrality in a biological network directly indicates that the node is biologically important.
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