[L - 1.1] | Social Network Analysis | Course Introduction | Machine Learning | Utkarshini Edutech

Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, memes spread, information circulation, friendship and acquaintance networks, business networks, knowledge networks, difficult working relationships, social networks, collaboration graphs, kinship, disease transmission, and sexual relationships. These networks are often visualized through sociograms in which nodes are represented as points and ties are represented as lines. These visualizations provide a means of qualitatively assessing networks by varying the visual representation of their nodes and edges to reflect attributes of interest.
Social network analysis has emerged as a key technique in modern sociology. It has also gained a significant following in anthropology, biology, demography, communication studies, economics, geography, history, information science, organizational studies, political science, public health, social psychology, development studies, sociolinguistics, and computer science and is now commonly available as a consumer tool.
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[@nikitajain328]

This is Nikita Jain,
The Video explains the basic concept about Social Network. Hope to get more informative videos like this.

[@ManpreetKaur-cy8gv]

Manpreet Kaur- introduction was helpful for understanding course material

[@UtkarshiniEdutech]

Hey
This is Abhishek,
And I got a overview of the course from this video🔥
(Example Comment)

[@kavyasreebhogadi159]

Name: Kavya Sree Bhogadi
It was an insightful introduction of the course.

[@chethan_m]

Chethan M
Short and clear introduction.

[@subbareddybv8459]

Name : B V SUBBAREDDY
Summary: A nice introduction to the course and a good example

[@sharathmeghananeelam]

Hello...
I'm Sharath Meghana Neelam,
This session is about the overview of the course .
Looking forward to learn more from you.

[@sagars8230]

Sagar s
Good introduction

[@dharnishrsd7613]

In this video we learned about the course details and it's outcome

[@tuhinaadey832]

Name : Tuhinaa Dey
This video has helped me alot to understand this topic. Hope to get more videos like this😊 thanks for this video😊😊

[@swethanjalibangaru6905]

Name : Swethanjali Bangaru
This introduction was very helpful to me

[@indepth4271]

Monica Verma:- Overview of course structure, Network and projects gist

[@sanjibkumardas6010]

NAME: Sanjib Kumar Das
Eagerly waiting for next tutorials 😀

[@saatvikmahajan5291]

This is Saatvik Mahajan
Basic intro to the course content is provided in this video with basic graph theory examples

[@komalmeshram8158]

Name: Komal Meshram
Very helpful introduction about the course

[@jaydeepdhurat649]

NAME- JAYDEEP DINESH DHURAT
The first video of this series is very introductive! 😄

[@lakshyajain634]

Name: Lakshya Jain
This lecture was more of an intro to the course we'll study in the future

[@gurukirankasireddy318]

Name: Guru Kiran Reddy
Summary: An introduction to the course. A good example to explain networks/graphs

[@r.shakithyaa1639]

Name:R.Shakithyaa
In this video we have the introductory outline of this course and it's discussed using an example of network (graphs)

[@tanusha4102]

Hello
This is Tanusha
And in this video, we got an overview of course structure for social network analysis.

[@harshitasingh476]

Harshita Singh
Summary - This was an introductory video about the further course

[@anvithreddy8800]

Name: Anvith Reddy
Summary : A Course Overview, as in what is going to be covered in the coming days, and a very brief explanation about Social Network Analysis and it's working

[@rajdeepjash2523]

Rajdeep Jash

[@shashwathknath6379]

Name: Shashwath K Nath
Summary: This video contains brief introduction on what we will be learning in the coming days. A gist of fundamentals of graph theory or networking was explained.