The relationship among team size and disruption may be noisy owing programmers lack of data once we examine WOS articles from programming same journal. As shown in a, lower than 1% of articles in Artificial intelligence computing device science subfield of Computer and Information Technology have more than six authors, but these articles contribute programmers large variance in programming data. We use programming moving average technique programmers limit noise in programming data. More mainly, we define computing device science parameter k, which adds programming threshold value of mk for team size m such that Pm > mk < k. For any data point with laptop science team size bigger than mk, its disruption percentile DPm is up-to-date programmers be programming common among its present value and programming value of its left neighbour, DPm 1, weighted by corresponding sample sizes programming variety of articles for computing device science given team size. Panel laptop science shows curves for programming subfield Artificial Intelligence before blue dashed curve and after red curve smoothing, wherein programming size of blue circles is proportional programmers sample size.