
    Given a user's content interaction history represented as a sequence where 0 indicates no interaction and 1 indicates a positive interaction, find the time period (sub-sequence) that shows the maximum difference between inactive and active engagement. This analysis will help identify significant engagement patterns to improve friend recommendations.
    

    
def find_length(string):
    """
    Given a user's content interaction history represented as a sequence where 0 indicates no interaction and 1 indicates a positive interaction, find the time period (sub-sequence) that shows the maximum difference between inactive and active engagement. This analysis will help identify significant engagement patterns to improve friend recommendations.
    

    """
def find_length(string):
    """
    Given a user's content interaction history represented as a sequence where 0 indicates no interaction and 1 indicates a positive interaction, find the time period (sub-sequence) that shows the maximum difference between inactive and active engagement. This analysis will help identify significant engagement patterns to improve friend recommendations.
    

    """
    n = len(string)
    current_sum = 0
    max_sum = 0
    for i in range(n):
        current_sum += 1 if string[i] == '0' else -1
        if current_sum < 0:
            current_sum = 0
        max_sum = max(current_sum, max_sum)
    return max_sum if max_sum else 0