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Dr Bikasih Thapa & Dr Maheswar Prasad (Nepal) - Hideo Wada MD PhD (japan) - Dr a Lavra Castrocatesana (Mexico) - Dr Mrs N.M. Hettiarachechui (Srilanka) - Dr Jorge Aldrete Velasco (Mexico) - Prof Hans Peter Kohler (Switzerland) - Dr Hermanus Suhartono S Sp.OG(K) PhD - Dr Isabel Pinheiro (Portugal) - Dr Suranga (Srilanka) - Jovia Dino Jansen Amsterdam,Holand - Hideo Wada MD PhD University Graduate School of Medicine Departement of Moleculer and Laboratory Medicine Japan - DR Bikash Thapa Internal Medicine Nepal University - DR Maheswar Prasad Internal Medicine Nepal University - Dr a Lavra Castro Castresana Colegio de Medicina interna de Mexico - Dr Suransa Manilgama University of Srilanka Internal Departement Medicine - Dr Mrs N.M. Hettiarachechui University of Medicine Srilanka - Dr Jorge Aldrete Velaso .Colegio de Medicina Interna de Mexico - Prof Hans Peter Kholer M.D FACD Profesor of Medicine University ot Switzerland - Dr Ramezan Ali Atace . Baqiyatallah University of Medical Sciences Departement of Micrology Tehran Iran - Ezekiel Wong Toh Yoon Dr. Gastroenterology of Japan - D Eric Beck,MD Bethesda Hospital Capitol Boelevard St Paul USA - Dr Emine Guderen Sahin Istambul University of Internal Medicine Turky - Dr Selmin Toplan Istambul University - Dr Nicholas New Australia - Dr Kughan Govinden. Tropical Infection of Internal Medicine Malaysia - Dr Godfrey M Rwegerera Princes Marina Hospital Bostwana -

Title : Social Media Big Data: Scope & Challenges

Author : VIJAYA BHASKAR MADGULA, K BALAJI SUNIL CHANDRA, JANGILI RAVI KISHORE

Abstract :

In the age of big data, social media has emerged as a prime example of a representative and relevant data source. The rapid expansion of the Internet has given rise to a new breed of individuals—or maybe a whole new social order—that is enthralled by the prospect of connecting with others via shared experiences and information. Facebook, Instagram, Google, Tumblr, Flickr, Twitter, and LinkedIn are just a few of the many prominent online programmes and websites that contribute to social media data. This data has expanded to several domains, including e-commerce, e-business, e-tourism, hobbies, friendship, education, health, and day-to-day employment. New and intriguing problems have emerged in fields such as social media and networks as a result of the merging of big data technology with conventional machine learning algorithms. Issues with data processing, storage, and representation, as well as its usage for pattern mining, user behaviour analysis, data visualisation,

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Dr. Arend L Mapanawang, Sp.PD, FINASIM, PhD

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