Web Science/Part2: Emerging Web Properties/Modeling the Web as a graph/Descriptive statistics of the web graph/quiz

{having a random web crawl which of the following statements would you expect to be true?} - the highest indegree would be smaller than the highest outdegree - counting the anchor-tags on one html document gives the indegree of the node representing this document - in degrees can be exactly counted - the indegree and outdegree distribution will take the same values.
 * sorry it just provides the outdegree
 * No! We might not have fetched all pages in our crawl so the indegree can only be estimated
 * both will follow a power law but they will be different.

{Wich statements with regard to the gini coefficient are true?} + high values mean that the measured distribution is not very equal + low values mean perfect equality - the gini coefficient can take values between 0 and infinity - the gini coefficient can take values between -1 and 1 + the gini coefficient can take values between 0 and 1