SummaryThe messages in microblogs, like Twitter, present a wealth of information around the hot topics and public opinions. Topic detection and tracking enables a better understanding of the incoming information from social networks. Many of the studies performed in this field consider a set of predefined number of topics (clusters) which remain constant during the detection process. Such approaches are not efficient when data is dynamic and cumulative. In addition, nonparametric evolutionary topic models do not have an accurate performance on short texts due to the data deficiency. In this article, we propose an evolutionary clustering model based on the Bayesian nonparametric Dirichlet process mixture model, which automatically determines the number of clusters. To improve the algorithm performance when dealing with short social media texts, temporal information of tweets and other social network parameters are used in a weighted combination to augment the text similarity in detecting topics. Model evaluation is performed on the data gathered from the Twitter during a 2.5‐month period. Results reveal that the social network information can promote the topic detection performance. The proposed model outperforms previous study in terms of topic coherence and clustering performance, leading to a better clustering on short texts.

Social media has made a significant role in the life of every human but the most affected and vulnerable to it is youth. As most of the time of youth has been taken up by the internet as they seem to be glued to the internet. No one can suggest time limit to them as internet is more common usage among youth. The value of anything can be considered by the purposes it serves. Social media has a vital role in the society but its negative impact on the youth cannot be denied. Excessive use of internet leads to psychological disorders among them which further affect their physical development, sexuality and identity. The use of internet and social media has isolated youth and had great impact on their nerves and brought a drastic change in the lifestyle of youth both positive and negative. In this paper we will be discussing the negative physiological impact of social media on youth. Spending more than half of the day on the social media is surely causing effect on them. Global Web Index published a report in 2018 stated that average youth spends average three hours on social media each day, according to them spending more than three hours per day leads to high risk of psychological problems.