Study on Social Network Mental Disorder Detection Based Markov Model
Journal Title: International Journal of Trend in Scientific Research and Development - Year 2019, Vol 3, Issue 2
Abstract
With the explosive growth in popularity of social networking and messaging apps, online social networks OSNs have become a part of many people's daily lives. There are many mental disorder encountered noticed of social network mental disorders SNMDs , the basic parameter at which evaluate the mental level of user such as Cyber-Relationship Addiction, Information Overload, and Net Compulsion, have been recently noted. Symptoms of these mental disorders are usually observed day by day, resulting in delayed clinical intervention. In this work, the mining online social behaviour provides an opportunity to actively identify SNMDs at an early stage. It is challenging to detect SNMDs because the mental status cannot be directly observed from online social activity logs. Our approach, new and innovative to the practice of SNMD detection, does not rely on self-revealing of those mental factors via questionnaires in Psychology. Instead, now propose a machine learning framework, namely, Social Network Mental Disorder Detection SNMDD , that exploits features extracted from social network data log file to accurately identify potential cases of SNMDs. We also exploit multi-source learning in SNMDD and propose a new SNMDD based Markov Model SMM to improve the accuracy. To increase the scalability of SMM, we further improve the efficiency with performance guarantee. Our framework is evaluated via user study with 3126 online social network users. We conduct a feature analysis, and also apply SNMDD on large-scale datasets and analyze the characteristics of the three SNMD types. The results manifest that SNMDD is promising for identifying online social network users with potential SNMDs. by Teena Patidar | Prof. Avinash Sharma "Study on Social Network Mental Disorder Detection Based Markov Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21398.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/21398/study-on-social-network-mental-disorder-detection-based-markov-model/teena-patidar
Role of Emotional Intelligence at Workplace
Emotional intelligence has become a familiar issue between academicians, counsellors and business leaders due to a considerable role in the workplace. Organizations may be able to increase productivity and improve employ...
Influence of John Donne on Tagore’s Poetry A Critical Analysis
This paper attempts to critically understand the relation and influence of English metaphysical poet John Donne 1572 1631 on Rabindranath Tagore’s 1861 1941 poems. The research will try to understand the features and phi...
A study on antioxidants (vitamin c & e) in cannabis user in diabetic and non-diabetic subjects
Aim & Objectives: The correlation of Cannabis user groups with duration of one-month, one-year and five year (Both diabetic and non-diabetic groups) with serum Vitamin C level and serum vitamin E level.Research Design an...
An Experimental Investigation on Incorporation of Fine Aggregate with Glass Powder and Cement with Zeolite to Mitigate Urban Heat Island Effect
An experimental study was done for replacement of glass powder and zeolite to evaluate the effect of urban heat island. All of the concrete sample mixtures carried out the intensified mortar bar test to evaluate the grow...
Importance of Chakrasana in Present Generation
Ayurveda is the science of life. It plays an important role to prevent and treat the disease. Ayurveda specifically deals with mind body balance. The main part of it is Yoga and Asana. Yoga provide us a simple remedies,...