
    Given a binary string representing user interaction patterns between two social network users, where '1' indicates a shared connection/interest and '0' indicates no shared attribute, find the maximum difference between non-matching and matching attributes in any continuous segment of their interaction history. This difference will help quantify the strongest dissimilarity pattern between users to improve friend recommendations.
    

    
def find_length(string):
    """
    Given a binary string representing user interaction patterns between two social network users, where '1' indicates a shared connection/interest and '0' indicates no shared attribute, find the maximum difference between non-matching and matching attributes in any continuous segment of their interaction history. This difference will help quantify the strongest dissimilarity pattern between users to improve friend recommendations.
    

    """
def find_length(string):
    """
    Given a binary string representing user interaction patterns between two social network users, where '1' indicates a shared connection/interest and '0' indicates no shared attribute, find the maximum difference between non-matching and matching attributes in any continuous segment of their interaction history. This difference will help quantify the strongest dissimilarity pattern between users 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