Objective: In this era, the internet becomes a common source of health information worldwide. In this study, we understand the influence of the internet on health-seeking behavior among university students in Pakistan. Methodology: A cross-sectional survey was conducted during this study. A random sample of university students (n=300, mean=28.97 and SD= 4.580) participated in this survey. Results: This study had good internal consistency reliability (Cronbach's alpha = 0.8). In addition, eHealth is found to be associated with the Healthcare provider's degree program, semester and age, as well as they, are important in health information seeking behavior. Conclusion: This study supports that students' health seeking behavior using the internet is an important part of making a health decision.

Graphs are mathematical structures used in many applications. In recent years, many applications emerged that require the processing of large dynamic graphs where the graph's structure and properties change constantly over time. Examples include social networks, communication networks, transportation networks, etc. One of the most challenging problems in large scale dynamic graphs is the single-source shortest path (SSSP) problem. Traditional solutions (based on Dijkstra's algorithms) to the SSSP problem do not scale to large dynamic graphs with a high change frequency. In this paper, we propose an efficient SSSP algorithm for large dynamic graphs. We first present our algorithm and give a formal proof of its correctness. Then, we give an analytical evaluation of the proposed solution.

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