input: Write a python function to rank influential bloggers using networkx.
  assert rank_influential_bloggers(data_example1) == ['blogger1', 'blogger2', 'blogger3', 'blogger4', 'blogger5']
  assert rank_influential_bloggers(data_example2) == ['bloggerA', 'bloggerB', 'bloggerC', 'bloggerD', 'bloggerE']
  assert rank_influential_bloggers(data_example3) == ['authorX', 'authorY', 'authorZ', 'authorW', 'authorV']
output: import networkx as nx
  
  def rank_influential_bloggers(data):
      G = nx.DiGraph()
      G.add_edges_from(data)
      
      page_rank = nx.pagerank(G)
      ranked_bloggers = sorted(page_rank, key=page_rank.get, reverse=True)
      
      return ranked_bloggers