代写BCPM0049: Social Networks in Project and Enterprise Organisations帮做Python编程

ASSESSMENT BRIEF AND CRITERIA

BCPM0049: Social Networks in Project and Enterprise Organisations

1. Introduction:

This document includes important information regarding your summative assessment. Please read this document in full and refer to it while preparing your assignment.

This coursework has 1 component with a weighting of 70%, marked on a scale of 100.

Please note that this is an INDIVIDUAL coursework.

2. Assessment Brief:

Your task is to interpret a dataset of your choosing from a network analysis perspective, using software, and present your interpretation in a written 2500-word essay. You will need to:

Select a dataset for your assignment. You can search datasets on the UK Data Service (https://ukdataservice.ac.uk) and IPUMS (https://www.ipums.org). You will need to create an account on each platform. to access data. You can also look at datasets on the Stanford Large Network Dataset Collection (https://snap.stanford.edu/data/), CASOS (http://www.casos.cs.cmu.edu/tools/datasets/external/index.php), or through this list of lists of network datasets (https://sites.google.com/a/umn.edu/social-network-analysis/resources/dataset).

Think carefully about what variables are available, and what your outcome variable would be (is it some attributes of individuals, or the network itself) as this will determine what type of analysis is appropriate.

Carry out a thorough analysis of your chosen dataset. You should use software (R, Python, UCINET and Netdraw, Gephi, or other) to process the data and produce:

• a visualisation of the patterns of ties in the network.

• descriptive statistical analysis of:

                           - network structure

                           - the patterns of interaction among team members, as well as its properties such as average number of links between team members, and the number and qualities of subgroups.

                          - centrality, identify prominent actors within the networks, and their roles in the network.

• a modelling effort, either through ERGM or regression, as appropriate.

Report on the findings of your analysis. Discuss what the implications are and what your recommendations would be. Explain what future research should look at and what managers or policy-makers should be doing.

3. Use of AI:

             Category 3 – AI has an integral role.

4. Assessment sequence and weighting:

Summative Assessment	Weighting (%)	Release date	Submission date	Corresponds to Learning Outcomes
				L1	L2	L3	L4	L5
Essay	70%		20/03/2023	X	x	x	X	X

5. Format:

This assignment has a limit of 2500 words (excluding tables, figures, references and appendices). All sources and references should be acknowledged using the Harvard referencing system.

There is a 10% leeway for the word limit: submissions that are within 10% over the word count won’t be penalised.  

Type of content	Counts towards the word limit
Table of contents	No
Reference list or bibliography at the end	No
Cover page	No
Diagrams, annotated pictures, figures and any other visuals	No
Appendices	No
Abstract	No
Acknowledgements	No
Footnotes	Yes
Tables in the main text	Yes
In-text citations	Yes

6. Marking Criteria:

Statement of Problem	30%
Analysis	40%
Conclusions	20%
Presentation	10%

7. Penalties:

Penalties (as per UCL Academic Manual)	- Penalties due to over/under-length cannot be more than 10%   - Over/under-length penalty cannot take the student’s mark below ‘Pass Mark’   - In the case the coursework that is submitted is over/under-length and is also late, the greater of any penalties will apply.
	- any use of AI that exceeds the permitted use in this assessment brief will be subject to UCL Academic Misconduct policy and could lead to penalties.

8. Assessment Support:

We will do a Q&A about the assignment in class

The Writing Lab is a free service offered through the UCL Academic Communication Centre which runs workshops, tutorials and support sessions to enhance academic writing and research skills. The Writing Lab's services are available for undergraduate and postgraduate students in the Joint Faculties of Arts & Humanities and Social & Historical Sciences, the Bartlett Faculty of the Built Environment, and Psychology & Language Sciences: https://www.ucl.ac.uk/writing-lab/ 

UCL Student Union English Language + Writing Support Programme supports non-native English speaking students with their academic writing and speaking. Peer Tutors run several different types of free activities to help you with your written and spoken English, including a regular programme of workshops, one-to-one sessions and 'Coffee and Conversation' which is a weekly opportunity to get together and practice your spoken English with other students: https://studentsunionucl.org/advice-and-support/support/language-writing-support-programme