Human Information Interaction

Background and Aim: This research aims to explore relation between health literacy and information literacy of post-graduate students in Ferdowsi university of Mashhad.

Method: This research is descriptive-correlational survey research. Population included post-graduate students of Ferdowsi university of Mashhad that 368 of them were selected via stratified sampling. Two Questionnaires were used for data collection. First one was Health Literacy for Iranian Adults (HELIA) that was a reliable and valid instrument for measuring health literacy in Iran and include the following constructs: ability to read, ability and skills to access, understand, and appraise health information, make decisions, and practice in order to maintain or improve health. The second one was designed by the researchers in order to measure information literacy skills including four dimensions: identifying information needs, locating, organizing, and evaluating information.

Results: Finding showed that 25% of students have inadequate health literacy, 38.31% of them have moderate literacy and others have normal high-quality health literacy. Also, their information literacy level is higher than average. Also the results show significant and positive correlation between information literacy and health literacy. Level of health literacy in female students is higher than males and level of this variable in Ph. D. Students is more than Master students. Findings showed that post graduate students search the internet and communicate with friends in order to acquire health information.

Conclusion: Since, Impact of Information literacy on information skills from the access to evaluation and use of information. So, Enhancement of information literacy skills in students could improve their health literacy. Accordingly, libraries can increase level of students’ health literacy by learning information literacy skills. Some libraries’ programs are noticed in order to enhance level of students’ health literacy and information literacy

Background and Aim. The promising outlook of easy communication incurring minimum cost has caused social networks to face increasing number of active members each day. These members develop and expand international communication through information sharing including personal information. Thus, big data analysis of social networks provides companies, organizations and governments with ample and unique opportunities to reach their strategic goals and various methods have been proposed in order to accomplish this objective. Each method has its own advantages, disadvantages and application area which would require deep study and assessment to understand. Therefore, the aim of this study is to investigate the approaches and methods of data analysis in social networks and study the advantages, disadvantages and application area of each method.

Method. This research is an applied research with qualitative approach and it was conducted using thematic analysis method and the study population include 35related conference papers, journal articles and reports published during 2010-2017.

Results. Various methods are used for the analysis of social networks and these methods are classified into three categories: quantitative, qualitative and mixed methods.

Conclusion. Due to the complex and multidimensional nature of social networks, the best approach is a mixed approach. This means combination of qualitative and quantitative methods and exploring various aspects of networks.