network analysis assignment

Assignment 1 - Network Analysis

Introduction.

• In th first Part 2, you will replicate a well known network analysis, with different data and some twists.
• Data: The data is to be found at: https://github.com/SDS-AAU/SDS-master/tree/master/00_data/network_krackhard (Hint: You neet to download the raw data)

Data: What do I get?

Let the fun begin. You will analyze network datacollected from the managers of a high-tec company. This dataset, originating from the paper below, is widely used in research on organizational networks. Time to give it a shot as well. Krackhardt D. (1987). Cognitive social structures. Social Networks, 9, 104-134. The company manufactured high-tech equipment on the west coast of the United States and had just over 100 employees with 21 managers. Each manager was asked to whom do you go to for advice and who is your friend, to whom do you report was taken from company documents. Description

The dataset includes 4 files - 3xKrack-High-Tec and 1x High-Tec-Attributes. Krack-High-Tec includes the following three 21x3 text matrices:

• ADVICE, directed, binary
• FRIENDSHIP, directed, binary
• REPORTS_TO, directed, binary

Column 1 contains the ID of the ego (from where the edge starts), and column 2 the alter (to which the edge goes). Column 3 indicates the presence (=1) or absence (=0) of an edge.

High-Tec-Attributes includes one 21x4 valued matrix.

• ID: Numeric ID of the manager
• AGE: The managers age (in years)
• TENURE: The length of service or tenure (in years)
• LEVEL: The level in the corporate hierarchy (coded 1,2 and 3; 1 = CEO, 2 = Vice President, 3 = manager)
• DEPT: The department (coded 1,2,3,4 with the CEO in department 0, ie not in a department)

1. Create a network

• Generate network objects for the companies organizational structure (reports to), friendship, advice
• This networks are generated from the corresponding edgelists
• Also attach node characteristics from the corresponding nodelist

2. Analysis

Make a little analysis on:

A: Network level characteristics. Find the overal network level of:

• Transistivity (Clustering Coefficient)
• Reciprocity

… for the different networks. Describe and interpret the results. Answer the following questions:

• Are relationships like friendship and advice giving usually reciprocal?
• Are friends of your friends also your friends?
• Are the employees generally more likely to be in a friendship or advice-seeking relationship?

B: Node level characteristics: Likewise, find out:

• Who is most popular in the networks. Who is the most wanted friend, and advice giver?
• Are managers in higher hirarchy more popular as friend, and advice giver?

C: Relational Characteristics: Answer the following questions:

• Are managers from the same 1. department, or on the same 2. hirarchy, 3. age, or 4. tenuere more likely to become friends or give advice? (hint: assortiativity related)
• Are friends more likely to give each others advice?

3. Visualization

Everything goes. Show us some pretty and informative plots. Choose what to plot, and how, on your own. Interpret the results and share some insights.

Submission as PDF (notebook and output)

Submission: Thursday 7.10.2021 23:59:00. Peergrade.io

• R team :::: HERE ::::
• Py team :::: HERE ::::

• Electrical Engineering
• NOC:Network Analysis (Video) 
• Co-ordinated by : IIT Kharagpur
• Available from : 2019-11-13
• Intro Video
• Lecture 01: Introduction: KVL, KCL and Power Balance
• Lecture 02: Voltage and Current Sources
• Lecture 03: Simple Networks with Voltage and Current Sources
• Lecture 04: Mesh Analysis - I
• Lecture 05: Mesh Analysis - II
• Lecture 06: Nodal Analysis - I
• Lecture 07: Nodal Analysis - II
• Lecture 08: Nodal Analysis - III
• Lecture 09: Inductor - I
• Lecture 10: Initial Condition for Inductor
• Lecture 11: Energy Stored in Inductor with Example
• Lecture 12: R-L Series Circuit Analysis
• Lecture 13: Retrieving Energy or Discharging of Inductor Energy
• Lecture 14: Capacitor: Relationship of Voltage and Current and Initial Condition
• Lecture 15: Charging of a Capacitor - Voltage, Current and Energy During Charging
• Lecture 16: Discharge of a Charged Capacitor
• Lecture 17: Linearity of R, L, C - Inductor with Initial Current and Capacitor with Initial Voltage
• Lecture 18: General Method for Solving Linear Differential Equation - I
• Lecture 19: General Method for Solving Linear Differential Equation - II
• Lecture 20: General Method for Solving Linear Differential Equation - III
• Lecture 21: Problem Solving: Application
• Lecture 22: R - L Circuit with Sinusoidal Excitation
• Lecture 23 : R - C Circuit with Sinusoidal Exponential
• Lecture 24 : Solution Due to Exponential Forcing Function
• Lecture 25 : Mesh and Nodal Analysis with Time Varying Source
• Lecture 26 : Circuit Analysis with Phasor - I
• Lecture 27 : Circuit Analysis with Phasor - II
• Lecture 28 : Circuit Analysis with Phasor - III
• Lecture 29 : Concept of Active and Reactive Power in A.C Circuit - I
• Lecture 30 : Concept of Active and Reactive Power in A.C Circuit - II
• Lecture 31 : Expression for Complex Power in A.C Circuit
• Lecture 32 : Numerical Example
• Lecture 33 : Mesh and Nodal Analysis in A.C Circuit, Introduction to Impulse Function
• Lecture 34 : Odd and Even Functions, Relation between Unit Step and Impulse Function
• Lecture 35 : Solution of Differential Equation with Impulse Excitation
• Lecture 36 : Numerical Example when Excitation is Impulse
• Lecture 37 : Self and Mutual Inductances - I
• Lecture 38 : Dot Convention in Mutually Coupled Coils
• Lecture 39 : Mutually Coupled Coils in Series and Parallel
• Lecture 40 : Energy Stored in Mutually Coupled Coils
• Lecture 41 : Steady State Response with Sinusoidal Excitation when the Coils are Mutually Coupled
• Lecture 42: Basics of Signals in Brief
• Lecture 43: Laplace Transform - I
• Lecture 44: Laplace Transform - II
• Lecture 45: Laplace Transform Applied to Circuit Analysis - I
• Lecture 46: Laplace Transform Applied to Circuit Analysis - II
• Lecture 47: Numerical Examples - I
• Lecture 48: Numerical Examples - II
• Lecture 49: General Second Order Circuit Analysis with L.T - I
• Lecture 50: General Second Order Circuit Analysis with L.T - II
• Lecture 51: Network Theorem - I
• Lecture 52: Network Theorem - II
• Lecture 53: Norton's Theorem
• Lecture 54: Thevenin Theorem
• Lecture 55: Star-Delta and Delta-Star Transformation
• Lecture 56: Telligen's Theorem
• Lecture 57: Reciprocity Theorem
• Lecture 58: Maximum Power Transfer Theorem
• Lecture 59: Graph Theory Applied to Network Analysis - I
• Lecture 60: Graph Theory Applied to Network Analysis - II
• Lecture 61:Graph Theory Applied to Network Analysis - III
• Lecture 62: Graph Theory Applied to Network Analysis - IV
• Lecture 63: Graph Theory Applied to Network Analysis - V
• Lecture 64: Mesh Analysis with Graph Theory
• Lecture 65: Nodal Analysis with Graph Theory
• Lecture 66: Cut-Set Analysis with Graph Theory
• Lecture 67: Numerical Examples of Network Analysis with Graph Theory
• Lecture 68: Circuit Analysis with Dependent Sources - I
• Lecture 69: Circuit Analysis with Dependent Sources - II
• Lecture 70: Circuit Analysis with Dependent Sources - III
• Lecture 71 : Two Port Network - I
• Lecture 72 : Two Port Network - II
• Lecture 73 : Two Port Network - III
• Lecture 74 : Two Port Network - IV
• Lecture 75 : Two Port Network - V
• Lecture 76 : Two Port Network - VI
• Lecture 77 : Two Port Network - VII
• Lecture 78 : Gyrator
• Lecture 79 : Ideal Op - Amp
• Lecture 80 : Examples of Ideal Op-Amp Circuits - I
• Lecture 81: Examples of Ideal Op-Amp Circuits - II
• Lecture 82 : General Impedance Transfer Circuit and Concluding Remarks
• Live Session 28-02-2020
• Week 1 - PMRF Live Session
• Week 2 - PMRF Live Session
• Week 3 - PMRF Live Session
• Week 4 - PMRF Live Session
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• Handouts (3)

Network Analysis - Assignment 1

• cities.txt : This file contains a series of lines, one for each city. Each line lists a city's name, followed by the city's straight-line distance to Bucharest.  We won't be using the straight-line distance in this assignment.
• neighbors.txt : This file contains a series of lines, one for each neighbor/neighbor pair. Each line lists the first city's name, the second city's name, and the distance between the two.
• the number of nodes expanded
• the cost of the path found
• the running time in milliseconds for the search  (i.e., the difference between the computer's clock time in milliseconds before and after each search is run)
• the path from the start to the goal as a list of city names

Have your program complete the following table.  In the case where a search method fails to find a path, you should indicate the lack of a result (e.g., with "--" , NIL, or "FAILURE") in the corresponding table entry.

You should also write a brief summary of your findings, comparing the performance of the algorithms, and discussing particular cases where one of the algorithms performs better than the others. (This summary can be anywhere from a few short paragraphs to one or two pages.) This should be a well-written analysis of your results in the form of a mini-report. Also include a printout of your code (formatted as neatly as possible) in the report and the results table of the three search functions applied to each city in Romania (as the first argument) for a path to Bucharest (the goal city), using the table format above as a guideline. To save paper, I recommend that you print your code with two logical pages per sheet (e.g., using mpage -2ol ).

• While you are free to use any programming language that you like, I recommend that you strongly consider Java, Python, or Matlab due to the availability of matrix and graph packages for these languages.
• You should use some graph data structure to store the graph.  You can either create your own, or use an existing graph library.  Keep the graph structure simple; all you really need are the cities, their neighbors, and the distance to those neighbors.  You should then read the graph into this data structure.  My recommendation is to read in the cities first, then read in the neighbors file.
• Implement the node and problem data structures as described in class.
• Implement the general search algorithm, then create the different searches by substituting in different queuing functions. 
• It isn't necessary to implement stacks, queues, or priority queues.  All you really need to do is simply maintain a list and then have the queuing function insert nodes at the tail (for a queue), at the head (for a stack) or in sorted order (for a priority queue -- don't worry about using a proper priority queue implementation with O(lg n) time, unless you really want to).  You are also welcome to use implementations of these data structures provided as external libraries for your chosen language.
• Write a main method that loads the graph, and generates the table.  The bulk of this function will likely be a loop that runs all of the algorithms on all of the cities and gathers the results in some central place, then outputs the tabular data.

Exercises 1 and 2 were adapted from assignments by Lada Adamic, UMichigan.  Exercise 3 was adapted from assignments by Tim Finin and Marie desJardins.

Transportation Network Analysis

Stephen d. boyles , nicholas e. lownes , and avinash unnikrishnan.

This site hosts the current version of the Transportation Network Analysis textbook. This release is a public beta intended for review and feedback, and will be updated before a final version is published. A list of planned changes is indicated below. Any help you can offer to improve the text would be very welcome, whether spotting typos, math or logic errors, inconsistent terminology, or any other suggestions for improving the explanations, organization, or presentation of the content.

Currently, one volume is available, covering static and dynamic traffic assignment. A second volume, covering transit, freight, and logistics, is under preparation. Both volumes will always be available free-of-charge from this site as PDF files. Upon release of the first edition (v1), a physical copy will also be available for purchase at a low price.

We gratefully acknowledge the support of the National Science Foundation in preparing this text, under Grants 1069141/1157294, 1254921, 1562109/1562291, 1636154, 1739964, and 1826320. Thanks are also due to Travis Waller (University of New South Wales) and Chris Tampère (Katholieke Universiteit Leuven) for hosting visits by the first author to their respective institutions, and for providing wonderful work environments where much of this writing was done. We also acknowledge the help many students have provided in noticing errors in earlier drafts and suggesting improvements.

Current version

Version 0.91: PDF

Please cite this book as below. Including the version number is important as regular updates will be posted here. For older versions and a changelog, scroll to the bottom of the page.

Boyles, S. D., N. E. Lownes, and A. Unnikrishnan. (2023) Transportation Network Analysis , Volume I, Version 0.91.

Planned changes

Version history.

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Network Analysis - Week 12 Feedback Form

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Network Analysis - Assignment-8,9 & 10 Solution Released

Dear Participants, The  Assignment-8,9& 10  of  Week- 8,9 & 10  Solution for the course " Network Analysis " has been released in the portal. Please go through these solutions and in case of any doubt post your queries in the forum. Link for solution of  Assignment 8 :  https://drive.google.com/file/d/1uvHXOGZz1Csifs12afV6RL3xsYQiKi3P/view?usp=sharing Link for solution of  Assignment 9 :  https://drive.google.com/file/d/1YkmIQp-mChFndRMk8czew6cq27UoFr72/view?usp=sharing Link for solution of  Assignment 10 :  https://drive.google.com/file/d/1oNLLUZMLxbhUXY4DrLoMGJYLtJmTgKQg/view?usp=sharing Happy Learning! Thanks & Regards, NPTEL Team

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The lecture videos for Week 12 have been uploaded for the course Network Analysis . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=142&lesson=143

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The assignment has to be submitted on or before Wednesday, [10/04/2024] , 23:59 IST.

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The assignment has to be submitted on or before Wednesday, [27/03/2024] , 23:59 IST.

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 19, 2024 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 18, 2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1 Happy Learning. -NPTEL Team

Network Analysis - Assignment-6,7 Solution Released

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Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 12, 2024 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

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The assignment has to be submitted on or before Wednesday, [20/03/2024] , 23:59 IST.

Network Analysis - Week 7 Feedback Form

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 11, 2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1 Happy Learning. -NPTEL Team

Network Analysis - Week 7 content is live now!!

The lecture videos for Week 7 have been uploaded for the course Network Analysis . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=94&lesson=95

Assignment  7 for Week 7 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=94&assessment=240

The assignment has to be submitted on or before Wednesday, [13/03/2024] , 23:59 IST.

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 05, 2024 - Tuesday Time:04.00 PM - 06.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

Network Analysis - Assignment-4,5 Solution Released

Dear Participants, The Assignment-4,5 of Week- 4,5 Solution for the course " Network Analysis " has been released in the portal. Please go through these solutions and in case of any doubt post your queries in the forum. Link for solution of Assignment 4 : https://drive.google.com/file/d/1phk3KaVlMab0sIOKYP4MBdmpU6b3g4--/view?usp=sharing Link for solution of Assignment 5 : https://drive.google.com/file/d/18nwAU9Tiyjd8ncMZgOv_YR36Diww7dsR/view?usp=sharing Happy Learning! Thanks & Regards, NPTEL Team

Network Analysis - Week 6 Feedback Form

Network analysis : problem solving session preponed.

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized for (March 04, 2024 - Monday)(06.00 PM - 08.00 PM) is Preponed to March 02, 2024 - Saturday. We invite you to join the session and get your doubts cleared and learn better. Date: March 02, 2024 - Saturday Time: 04.00 PM - 06.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1   Happy Learning. -NPTEL Team

Network Analysis - Week 6 content is live now!!

The lecture videos for Week 6 have been uploaded for the course Network Analysis . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=80&lesson=81

Assignment  6 for Week 6 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=80&assessment=237

The assignment has to be submitted on or before Wednesday, [06/03/2024] , 23:59 IST.

Network Analysis - Week 5 Feedback Form

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Feb 27, 2024 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Feb 26, 2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1 Happy Learning. -NPTEL Team

NPTEL: Exam Registration date is extended for 12 week courses of Jan 2024!

• No further extension will be provided.
• This extension is only applicable for 12-week courses.

Reminder: NPTEL: Exam Registration is date is extended for Jan 2024 courses!

Dear Learner,  The exam registration for the Jan 2024 NPTEL course certification exam is extended till February 23, 2024 - 05.00 P.M . CLICK HERE to register for the exam Choose from the Cities where exam will be conducted: Exam Cities Click here to view Timeline and Guideline : Guideline For further details on registration process please refer the previous announcement in the course page. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Feb 20, 2024 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

Network Analysis - Assignment-1,2 & 3 Solution Released

Dear Participants, The Assignment-1,2& 3 of Week- 1,2 & 3 Solution for the course " Network Analysis " has been released in the portal. Please go through these solutions and in case of any doubt post your queries in the forum. Link for solution of Assignment 1 :  https://drive.google.com/file/d/1vCu8CVDHw2YFRvMPrtjrRf86iR0FIDH9/view?usp=sharing Link for solution of Assignment 2 :  https://drive.google.com/file/d/1YuKL1t03WaZKTDwjNr81uNRcDEvggVMA/view?usp=sharing Link for solution of Assignment 3 :  https://drive.google.com/file/d/1gMgxEef-FXNEKSVXpOaF2rORW5axI97I/view?usp=sharing Happy Learning! Thanks & Regards, NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Feb 19, 2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1 Happy Learning. -NPTEL Team

Network Analysis - Week 3 Feedback Form

Network analysis - week 4 feedback form, network analysis - week 5 content is live now.

The lecture videos for Week 5 have been uploaded for the course Network Analysis . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=68&lesson=69

Assignment  5 for Week 5 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=68&assessment=236

The assignment has to be submitted on or before Wednesday, [28/02/2024] , 23:59 IST.

Dear Learner,  The exam registration for the Jan 2024 NPTEL course certification exam is extended till February 20, 2024 - 05.00 P.M . CLICK HERE to register for the exam Choose from the Cities where exam will be conducted: Exam Cities Click here to view Timeline and Guideline : Guideline For further details on registration process please refer the previous announcement in the course page. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Feb 13, 2024 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Feb 12, 2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1 Happy Learning. -NPTEL Team

Network Analysis - Week 4 content is live now!!

The lecture videos for Week 4 have been uploaded for the course Network Analysis . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=54&lesson=55

Assignment  4 for Week 4 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=54&assessment=234

The assignment has to be submitted on or before Wednesday, [21/02/2024] , 23:59 IST.

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Feb 06, 2024 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Feb 05, 2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1 Happy Learning. -NPTEL Team

Network Analysis - Week 3 content is live now!!

The lecture videos for Week 3 have been uploaded for the course Network Analysis . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=43&lesson=44

Assignment  3 for Week 3 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=43&assessment=233

The assignment has to be submitted on or before Wednesday, [14/02/2024] , 23:59 IST.

Network Analysis - Week 2 Feedback Form

Network analysis - problem solving session recording is available.

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Problem solving Session of Week 1 . Videos are uploaded inside the Separate Unit called " Problem solving Session " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Reminder: NPTEL: Exam Registration is open now for Jan 2024 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the Jan 2024 NPTEL course certification exam. 

1. The registration for the certification exam is open only to those learners who have enrolled in the course. 

2. If you want to register for the exam for this course, login here using the same email id which you had used to enroll to the course in Swayam portal. Please note that Assignments submitted through the exam registered email id ALONE will be taken into consideration towards final consolidated score & certification. 

3 . Date of exam: Apr 21, 2024 

CLICK HERE to register for the exam.

Choose from the Cities where exam will be conducted: Exam Cities

4. Exam fees: 

If you register for the exam and pay before Feb 12, 2024 - 5:00 PM, Exam fees will be Rs. 1000/- per exam .

5. 50% fee waiver for the following categories: 

Students belonging to the SC/ST category: please select Yes for the SC/ST option and upload the correct Community certificate.

Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate. 

6. Last date for exam registration: Feb 16, 2024 - 5:00 PM (Friday). 

7. Between Feb 12, 2024 - 5:00 PM & Feb 16, 2024 - 5:00 PM late fee will be applicable.

8. Mode of payment: Online payment - debit card/credit card/net banking/UPI. 

9. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date. We will confirm the same through an announcement once it is published. 

10. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

11. Data changes: 

Last date for data changes: Feb 16, 2024 - 5:00 PM :  

We will charge an additional fee of Rs. 200 to make any changes related to name, DOB, photo, signature, SC/ST and PWD certificates after the last date of data changes.

The following 6 fields can be changed (until the form closes) ONLY when there are NO courses in the course cart. And you will be able to edit those fields only if you: - 

REMOVE unpaid courses from the cart And/or - CANCEL paid courses 

1. Do you come under the SC/ST category? * 

2. SC/ST Proof 

3. Are you a person with disabilities? * 

4. Are you a person with disabilities above 40%? 

5. Disabilities Proof 

6. What is your role? 

Note: Once you remove or cancel a course, you will be able to edit these fields immediately. 

But, for cancelled courses, refund of fees will be initiated only after 2 weeks. 

12. LAST DATE FOR CANCELLING EXAMS and getting a refund: Feb 16, 2024 - 5:00 PM  

13. Click here to view Timeline and Guideline : Guideline

Domain Certification

Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job ready or specialising in an area of study.  

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses as per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain: https://nptel.ac.in/domains

Outside India Candidates

Candidates who are residing outside India may also fill the exam form and pay the fees. Mode of exam and other details will be communicated to you separately.

Thanks & Regards, 

Network Analysis - Week 2 content is live now!!

The lecture videos for Week 2 have been uploaded for the course Network Analysis . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=30&lesson=31

Assignment  2 for Week 2 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=30&assessment=231

The assignment has to be submitted on or before Wednesday, [07/02/2024] , 23:59 IST.

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Jan 30, 2024 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

Network Analysis : Problem solving Session UPDATED !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Jan 29,2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1 Happy Learning. -NPTEL Team

Network Analysis- Download video links are available now!

The download video link for the course Network Analysis is available now in the course outline. Please check the download video link: https://nptel.ac.in/courses/108105159

-NPTEL Team

Network Analysis - Week 1 Feedback Form

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Jan 29,2024 - Monday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/71981179107?pwd=yXGYhVgrafC2cWb5pfrwroRhds6XVP.1 Session 2 :  Date: Jan 30, 2024 - Tuesday Time:06.00 PM - 08.00 PM Link to join: https://us04web.zoom.us/j/77292653437?pwd=5CrcoajAM9aUHP6RHmVXQbog2YTfBk.1 Happy Learning. -NPTEL Team

Network Analysis - Week 1 content is live now!!

The lecture videos for Week 1 have been uploaded for the course Network Analysis . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=18&lesson=19

Assignment  1 for Week 1 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc24_ee58/unit?unit=18&assessment=229

Network Analysis - Assignment-0-RELEASED

We welcome you all to this course. The Assignment 0 for the course Network Analysis has been released. This assignment is based on a prerequisite of the course. Kindly note that marks obtained in this assignment will not be considered for the final assessment. You can find the assignment under Week 0 unit on the left-hand side of your screen. You can submit the assignment multiple times. All the best !!    

NPTEL: Exam Registration is open now for Jan 2024 courses!

Network analysis: welcome to nptel online course - jan 2024.

• Every week, about 2.5 to 4 hours of videos containing content by the Course instructor will be released along with an assignment based on this. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning and doing well in the course. This will be done week on week through the duration of the course.
• Please do the assignments yourself and even if you take help, kindly try to learn from it. These assignments will help you prepare for the final exams. Plagiarism and violating the Honor Code will be taken very seriously if detected during the submission of assignments.
• The announcement group - will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets, etc.
• The discussion forum (Ask a question tab on the portal) - is for everyone to ask questions and interact. Anyone who knows the answers can reply to anyone's post and the course instructor/TA will also respond to your queries.
• Please make maximum use of this feature as this will help you learn much better.
• If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
• The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
• The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
• Date and Time of Exams: April 21, 2024 Morning session 9am to 12 noon; Afternoon Session 2 pm to 5 pm.
• Registration URL: Announcements will be made when the registration form is open for registrations.
• The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
• Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.
• Once again, thanks for your interest in our online courses and certification. Happy learning.

A project of

In association with

ORIGINAL RESEARCH article

Network analysis of marmoset cortical connections reveals pfc and sensory clusters provisionally accepted.

• 1 The University of Sydney, Australia

The final, formatted version of the article will be published soon.

A new analysis is presented of the retrograde tracer measurements of connections between anatomical areas of the marmoset cortex. The original normalisation of raw data yields the fractional link weight measure, FLNe. That is re-examined to consider other possible measures that reveal the underlying in link weights. Predictions arising from both are used to examine network modules and hubs. With inclusion of the in weights the InfoMap algorithm identifies eight structural modules in marmoset cortex. In and out hubs and major connector nodes are identified using module assignment and participation coefficients. Time evolving network tracing around the major hubs reveals medium sized clusters in pFC, temporal, auditory and visual areas; the most tightly coupled and significant of which is in the pFC. A complementary viewpoint is provided by examining the highest traffic links in the cortical network, and reveals parallel sensory flows to pFC and via association areas to frontal areas.

Keywords: marmoset, connectivity, network, module, Cluster, Hub, PFC

Received: 19 Mar 2024; Accepted: 10 May 2024.

Copyright: © 2024 Pailthorpe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Prof. Bernard A. Pailthorpe, The University of Sydney, Darlington, Australia

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Analysis of London street gang network

stef4k/Network-Analysis-Assignment

Folders and files, repository files navigation, network-analysis.

Assignment for the course Social Network Analysis in the 4th year winter semester:

Choose a network you wish to analyze, explain why you chose to analyze it and describe what you want to achieve through this analysis. Then provide a succinct analysis of the basic properties of the network:

• Graphical representation of the network
• Basic topological properties, such as numbers of nodes and edges, network diameter, and average path length.
• Component measures, such as number of connected components, existence of a giant component and component size distribution.
• Degree measures, such as maximum and average node degrees, as well as degree distribution.
• Centrality measures (degree, betweenness, closeness, eigenvector)
• Clustering effects in the network: average clustering coefficient, number of triangles, clustering coefficient distribution, existence of the triadic closure phenomenon in the friendship neighborhood.
• Bridges and local bridges.
• Gender and homophily.
• Communities

The analysis concerns a London-based inner-city street gang. The dataset can be found here . In detail:

• GANG NETWORK ANALYSIS.pdf is the whole detailed analysis in pdf
• ANALYSIS_PYTHON.ipynb is the analysis of the gang network using networkX (python library) in a jupyter notebook.

Complete assignment description

• Jupyter Notebook 100.0%