
    Given a list of engagement scores from different event categories in a user's social network, develop a function that determines the highest possible combined engagement potential by arranging these scores. The engagement scores are single-digit values (0-9) representing normalized user interaction and friend participation metrics for various event types, and the goal is to find the arrangement that yields the maximum potential engagement value when these scores are concatenated together.
    

    
def find_Max_Num(arr):
    """
    Given a list of engagement scores from different event categories in a user's social network, develop a function that determines the highest possible combined engagement potential by arranging these scores. The engagement scores are single-digit values (0-9) representing normalized user interaction and friend participation metrics for various event types, and the goal is to find the arrangement that yields the maximum potential engagement value when these scores are concatenated together.
    

    """
def find_Max_Num(arr):
    """
    Given a list of engagement scores from different event categories in a user's social network, develop a function that determines the highest possible combined engagement potential by arranging these scores. The engagement scores are single-digit values (0-9) representing normalized user interaction and friend participation metrics for various event types, and the goal is to find the arrangement that yields the maximum potential engagement value when these scores are concatenated together.
    

    """
    n = len(arr)
    arr.sort(reverse=True)
    num = arr[0]
    for i in range(1, n):
        num = num * 10 + arr[i]
    return num