Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/2074/21945
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Desai, Jitamitra | |
dc.contributor.author | Mittal, Vikram | |
dc.contributor.author | Mrugank, Paranjape Anshuman | |
dc.date.accessioned | 2023-05-25T11:17:29Z | - |
dc.date.available | 2023-05-25T11:17:29Z | - |
dc.date.issued | 2022 | |
dc.identifier.uri | https://repository.iimb.ac.in/handle/2074/21945 | - |
dc.description.abstract | Social media has become an everything day today. To the normal user, it offers a source of fun, engagement, and a convenient form of learning as well as communication. However, what social media also generates is a ton of data that organisations can use to analyse user/customer behaviour. A unique and purely mathematical way of doing is this social media network analysis. In this process, we investigate social structures by making use of something called graph theory as well as networks. | |
dc.publisher | Indian Institute of Management Bangalore | |
dc.relation.ispartofseries | PGP_CCS_P22_082 | |
dc.subject | Social media analysis | |
dc.subject | Network theory | |
dc.title | Developing metrics for social media analysis | |
dc.type | CCS Project Report-PGP | |
dc.pages | 19p. | |
Appears in Collections: | 2022 |
Files in This Item:
File | Size | Format | |
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PGP_CCS_P22_082.pdf | 1.61 MB | Adobe PDF | View/Open Request a copy |
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