About:
Usually, data are well represented by graphs, which can be easily and efficiently explored using graph theory and social network analysis (SNA) techniques. Due to the ubiquitous nature of graphs, there has been a lot of recent scientific advancements over graphs which make our life easy to understand how these systems work. However, understanding and revealing hidden information from these complex systems is very challenging. To this end, this Gig offers the exploration and analysis of relational real-world data using SNA and graph theory algorithms. Further, we also offer machine learning task on relational data according to the requirements. The list of the tasks offering by this gig is as follow.1 - Mapping real-world data into networks (simple, directed, weighted, bipartite etc...)
2- Cleaning and filtering network
3 - Network visualization of any kind
4 - Applying SNA (applying centrality measures, clustering, classification, patterns identification)
5 - Structural hole (important users)
6 - Motifs identification
7 - Implementation of any kind in python
8 - Documentation (word, latex)
9 - Presentations
and many many more!
Reviews
:
Excellent service and will highly recommend this seller, they know what they are doing with both web scraping and network analysis. This service was highly commendable.
:Good job
:Great service was prepared to revise until i was satisfied. Will definately recommend
:fast response by the seller. Highly recommend!
:I very much loved to work with you. We had a very good communication and your support and explanations for how to do the work was great. You are a very clever man who understands the business around python and the package networkx. You did a very good job and I can use your work for my next steps. Many thanks and all the best. Stay healthy and blessed. I will love to work with you again.
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