An Critique of Leaders in Social Networks - Article Example

with this kind of social media is, whereby people rank the links of the most clicks website this helps understand who has been most searched and has more influence than the others in the public eyes. The limitation in this trying to identify that only the most followed are said to be the most liked which may not be the case. This method is known as page rank and, it is using this method that you will find that there are people who are found in page nine and they are still reflected in the important stage.

There is another issue where the leader rank the formulation is different in probabilities and it is important to understand for it to be success a lot of calculation is put in place. Page rank does not take account of the logarithm that leader rank does not. It is important to for a ground note to all the links to the same network to the and all the number of users are intertwined to form the ground node. The problem with the PageRank is not effective to tie the chain of all the links that come through one website and it is for this reason that sometime the leader rank is more reliable and can progress to the next progress.

These assumptions cannot be illustrated without the calculations of the probabilities and the chances of the chain of this entire fan zone. The chances of getting the right traffic is also limited to other issues such as the time zone and also net neutrality which forms the core question whether it is valid to follow the statistics of all this. The inverse proportion is not realistic as it favors those with many fans regardless of how many times they clique. There is a great chance that getting the right number of traffic cannot be achievable with the page rank but only with the leader rank.

Though the people analyzing this always prepare with good intent it is only important we understand the interpretation of all this due to its complexities. This article does not really find a solid background of how many leaders earn their