Lenkeanalyse

Lenkeanalyse refers to the examination of links between web pages, sites, or nodes in a network to understand structure, influence, and quality. In digital contexts, it often means analyzing hyperlinks for search engine optimization or data-network insights.

In SEO, lenkeanalyse focuses on backlinks (incoming links) and internal links. Backlink analysis evaluates the number, quality, and diversity of external references, while internal link analysis looks at how pages are connected within a site to improve navigation and crawlability.

Data sources include search engine webmaster tools, backlink databases and crawlers, server logs, and website analytics. Researchers may combine proprietary datasets with public data to map link graphs.

Common metrics include number of backlinks, referring domains, anchor text distribution, link type (dofollow vs nofollow), link velocity, domain authority, and page authority. Graph-theoretic measures such as degree centrality or eigenvector centrality can quantify influence.

Applications cover search engine optimization, competitor benchmarking, risk assessment for harmful or spam links, site-architecture optimization, and content strategy. Lenkeanalyse can inform decisions on link-building, internal structure, and topical authority.

Limitations include data incompleteness due to crawl limits and privacy controls, delays in data updates, attribution challenges, and tool biases. Interpretations should consider context and changes in search engine algorithms.