Course Name: Social Networks

Course abstract

The network of friendships on Facebook, road connections, terrorist networks and disease spreading networks are today available as a graph G(V,E). Social Network Analysis involves discerning this graph data and making sense out of it. The course will revolve around the study of some well-known theories of social and information networks and their applications on real world datasets.


Course Instructor

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Prof. Sudarshan Iyengar

Sudarshan Iyengar has a PhD from the Indian Institute of Science and is currently working as an assistant professor at IIT Ropar and has been teaching this course from the past 4 years.


More info
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Prof. Poonam Saini

Prof. Poonam Saini is currently working as Assistant Professor in the Department of Computer Science and Engineering at Punjab Engineering College, Chandigarh, India. She has received her Ph.D. degree in Computer Engineering from National Institute of Technology (NIT), Kurukshetra, India in 2013 and M.Tech from UIET, Kurukshetra University, Kurukshetra, India in 2006. She has received B. Tech. in Information Technology from Kurukshetra University, Kurukshetra, India in 2003. Her research interest includes: Big Data Analytics, Social Network Ananlytics, Fault-Tolerant Distributed Computing Systems, Block Chain Technology, Cloud Computing and Security, Machine Learning based CAD-assisted healthcare, She has a teaching and research experience of more than 13 years. She has taught more than 12 courses at both UG and PG level. She has published more than 40 publications in reputed journals and conferences and has travelled national institutions and internationally to present papers in conferences and participate in academic and research activities. She has attended more than 20 Faculty Development Courses of 1-2 weeks at National Universities, IITs, NITs, Industry and other Institutions. She has supervised more than 30 dissertations at M. Tech level and has 06 ongoing PhD research scholars under her supervision in the area of Social Networks, Block Chain, Machine Learning, Map-Reduce paradigms. She is currently assisting as Co-PI in DST & Renewable Energy, Chandigarh sponsored Solar project. She has applied to sponsoring agencies for research projects in technologies like Crowdsourcing, Artifical Inteliigence and Big Data Analytics.

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Oct 2021
  View Course
 Syllabus
 Enrollment : 20-May-2021 to 02-Aug-2021
 Exam registration : 17-Jun-2021 to 17-Sep-2021
 Exam Date : 23-Oct-2021

Enrolled

5729

Registered

2048

Certificate Eligible

1343

Certified Category Count

Gold

0

Silver

15

Elite

404

Successfully completed

924

Participation

614

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
    Note:We have taken best assignment score from July 2020, Jan 2021 and July 2021 courses
Social Networks - Toppers list
Top 1 % of Certified Candidates

DEBESHEE DAS 80%

INDIAN INSTITUTE OF TECHNOLOGY,TIRUPATI

SHREETESH M 79%

INDIAN INSTITUTE OF TECHNOLOGY,TIRUPATI

MANAV GARG 78%

AMITY UNIVERSITY, NOIDA

T KARTHIKEYAN 76%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

PAMPANA BHARATH KUMAR 76%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

VINAYAK ASHOK MIKKAL 75%

R V COLLEGE OF ENGINEERING

SUDHANSHU KUMAR 75%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

SANDHRA MARY PRINCE 75%

MAR ATHANASIUS COLLEGE OF ENGINEERING

SAKETH RAM JOSYABHATLA 75%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

UDAY KRISHNA P 75%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

DHEERAJ TALARI 75%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

ANVITHKUMAR A SHETTY 75%

R V COLLEGE OF ENGINEERING

CHINMAY B S 75%

R V COLLEGE OF ENGINEERING

VARUKALA VARUN KUMAR 75%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

S R PRABHANJAN 75%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)


Top 2 % of Certified Candidates

YALLANKI UMA 73%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

SANJANA N 73%

R V COLLEGE OF ENGINEERING

GUJJA SREYA 73%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

VIJAYANT YADAV 73%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

S P KARTHIK PRADYUMNA 73%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

LOKASANI MANASA 73%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

ADITYA SINGH 73%

R V COLLEGE OF ENGINEERING

BADRI NARAYANAN S 73%

SRI VENKATESWARA COLLEGE OF ENGINEERING

SAKSHI SHARMA 72%

MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE

ABHISHEK SRIKRISHNA 72%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

MUHAMMED THARIKH 72%

THANGAL KUNJU MUSALIAR COLLEGE OF ENGINEERING

NIDUGONDI SHREYA 72%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

LAYAMITRA C B 72%

SASTRA DEEMED TO BE UNIVERSITY


Top 5 % of Certified Candidates

VIJAY KUMAR S 71%

R V COLLEGE OF ENGINEERING

SHEIK ARSHAD 71%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

CHENCHALA HASINI 71%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

GUNTHA HASITH SAI 71%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

AAYUSH HARWANI 71%

Rashtriya Raksha University

KRUTHI SHANDILYA M 71%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

DEVANSHI A HARSORA 71%

Rashtriya Raksha University

MARUTHACHALAMURTHY R 70%

Puducherry Technological University

ARVIND JAMKHANDI 70%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

MACHERLAW SAIROHITTH 70%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

SANDEEP CR 70%

Indian Institute of Space Science and Technology

BOTTA PRUDHVEERAJ 70%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

ATHREYA V SHET 70%

R V COLLEGE OF ENGINEERING

ARTHAM ABHINAY 70%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

RESHMI JAYA SOUNDARI R 69%

EASWARI ENGINEERING COLLEGE

SANKALP SAXENA 69%

PANDIT DWARKA PRASAD MISHRA INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING (IIITDM), JABALPUR

ARYAN RAO NEELAGIRI 69%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

MAHESH KVS 69%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

YASHIT SHRIVASTAVA 69%

MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE

D AAKANKSHA 69%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

SHUBHANGI SINGH 69%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

SUMANT GUPTA 69%

J. C. BOSE UNIVERSITY OF SCIENCE AND TECHNOLOGY, YMCA, FARIDABAD

ARTHIK BHANDARY 69%

R V COLLEGE OF ENGINEERING

DEVANSH SHARMA 69%

MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE

ABHISHEK KRISHNA 68%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

HARSHITH MUNDADA 68%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

MYSKER SAI PREM 68%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

CHENNURI JYOSHNA 68%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

MADDINENI MANOHAR 68%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

NEHA MARY ANIL 68%

Mar Athanasius College of Engineering

D RISHI CHANDAN 68%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

DEEVI DIVYA SESHA SREE 68%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

AKSHAT HIRANI 68%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

JYOTI CHAUDHARY 68%

MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE

GUMPULA VAMSHI 68%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

KOVVURI JAYANTH 68%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

AKSHAY KUMAR NALATAWAD 68%

R V COLLEGE OF ENGINEERING

AVERINENI RAGHAVA 68%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

KOTA LAKSHMI PRIYA 68%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

GIREVASAN M 68%

SASTRA DEEMED TO BE UNIVERSITY

TARUNANAND R 68%

SASTRA DEEMED TO BE UNIVERSITY

NATHALA ABHINAV REDDY 68%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

Enrollment Statistics

Total Enrollment: 5729

Registration Statistics

Total Registration : 2048

Assignment Statistics



Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.

This course is very useful for me and also useful for other so I also suggested my friends to join this course for enhancing our knowledge thanks to whole team of NPTL for giving such kind of opportunities for students and staffs