plotti

Username,Followers,List Count,URI
aplusk,10137792,343,http://www.twitter.com/aplusk
JimCarrey,7159113,297,http://www.twitter.com/JimCarrey
tomhanks,3773553,288,http://www.twitter.com/tomhanks
ActuallyNPH,3061975,283,http://www.twitter.com/ActuallyNPH
NathanFillion,1222189,232,http://www.twitter.com/NathanFillion
RedHourBen,2655373,230,http://www.twitter.com/RedHourBen
peterfacinelli,1937513,215,http://www.twitter.com/peterfacinelli
Alyssa_Milano,2016472,214,http://www.twitter.com/Alyssa_Milano
KevinSpacey,2259294,210,http://www.twitter.com/KevinSpacey

plotti

  def generate_most_listed_members
      seen_lists = []
      seen_membersets = []
      @tmp_persons = []
      self.persons.each do |person|
        #puts person.username
        @tmp_persons << {:username => person.username, :list_count => 1,
          :uri => "http://www.twitter.com/#{person.username}", :followers => person.followers_count,
          :friends => person.friends_count}
      end

plotti

  def self.collect_list_members(username, list_id,project_id)    
    while Project.get_remaining_hits == "timeout"
      puts "collect_list_members waiting..."
      sleep(60) 
    end
    result = @@twitter.list_members(username, list_id, {:cursor => -1})    
    members = result["users"]
    next_cursor = result["next_cursor"]
    old_next_cursor = 0    
    

plotti

  def self.collect_list_memberships(username, project_id = "")
    page_size = LIST_PAGE_SIZE
    attempts = 0
    while Project.get_remaining_hits == "timeout"
      puts "collect_list_memberships waiting..."
      sleep(60) 
    end
    begin
      result = @@twitter.memberships(username, {:cursor => -1, :count => page_size})
      lists = result["lists"]

plotti

def reciprocity(D):
        G=D.to_undirected() # copy
        for (u,v) in D.edges():
            if not D.has_edge(v,u):
                    G.remove_edge(u,v)
        return float(len(G.edges()))/len(D.to_undirected().edges())

# A simple test:

G = nx.DiGraph()

plotti

def total_edge_weight(D):
        total = 0
        for edge in D.edges(data=True):
                total += edge[2]["weight"]
        return total

def average_tie_strength(D):
        return float(total_edge_weight(D))/len(D.edges())

D = nx.DiGraph()