
    Design a function that calculates the total influence score of professional networking tiers, where each tier contains increasingly specialized groups of professionals represented by consecutive odd numbers up to n tiers. The influence score for each tier is determined by squaring the odd number representing that tier, with higher numbers indicating more specialized professional groups. The function should return the sum of all tier influence scores to determine optimal connection matching within the network.
    

    
def square_Sum(n):
    """
    Design a function that calculates the total influence score of professional networking tiers, where each tier contains increasingly specialized groups of professionals represented by consecutive odd numbers up to n tiers. The influence score for each tier is determined by squaring the odd number representing that tier, with higher numbers indicating more specialized professional groups. The function should return the sum of all tier influence scores to determine optimal connection matching within the network.
    

    """
def square_Sum(n):
    """
    Design a function that calculates the total influence score of professional networking tiers, where each tier contains increasingly specialized groups of professionals represented by consecutive odd numbers up to n tiers. The influence score for each tier is determined by squaring the odd number representing that tier, with higher numbers indicating more specialized professional groups. The function should return the sum of all tier influence scores to determine optimal connection matching within the network.
    

    """
    return int(n * (4 * n * n - 1) / 3)