Lawrence Page

Lawrence Page co-founded Google with Sergey Brin and helped define PageRank, the algorithm that made the Web’s link structure a tool for ranking search results. The book presents Google as a practical demonstration of collective intelligence: billions of pages contribute judgments, while the algorithm aggregates those judgments into a ranked answer.

Google’s Rise

Google began in 1998, when Yahoo! seemed to dominate Internet search and AltaVista and Lycos appeared to be plausible successors if it faltered. Within a couple of years, Google had become the default search engine for regular Internet users because it found relevant pages quickly. The book connects that change to a system capable of surveying three billion Web pages and drawing on the judgments encoded in their links.

Page and Brin defined the core of that system, PageRank, in their 1998 paper, “The Anatomy of a Large-Scale Hypertextual Web Search Engine.” The book describes the algorithm as Google’s central method for allowing Web pages to help determine which pages best answer a search. Google kept the details of its technology to itself, but the principle at the algorithm’s heart was legible in the Web’s links.

PageRank and the Web’s Votes

PageRank treats a link from one page to another as a vote: the linking page registers its judgment that the destination matters. Google assesses a page’s importance by the votes it receives, but does not count every vote equally. A link from a page already judged important carries more weight and can help make its destination important as well.

That weighting makes Google, in the book’s formulation, a republic rather than a perfect democracy. Its result is not a simple average of equal votes; it is a weighted average, comparable in this respect to a stock price or an NFL point spread. Larger, more influential sites therefore shape the final ranking more strongly, but their influence derives from the votes smaller sites have given them. The system’s hierarchy rests on contributions from across the Web.

Collective Judgment at Search Speed

The book illustrates the effect through routine searches: a search for a paper about the Challenger, made without the author’s name, returned 2,370 pages, with a useful article first and the author’s own site third. Google completed that search in 0.10 seconds. The example belongs to a broader account of searches whose total time was about a minute and a half, even though Google was assessing billions of pages and placing the most useful results near the top.

The result is not that every page offers an equally reliable judgment, but that rankings produced from the whole link structure can still identify useful information. As the book puts it, the crowd rules in the end: for a system to be smart at the top, it must be smart all the way through. Page’s significance in this account lies in helping build a search method in which dispersed judgments become an organized, fast, and consequential collective decision.