Nabanita Das
Biographic Data
| ID | 1836836 |
|---|---|
| NAME | Nabanita Das |
| GIVEN NAMES | Nabanita |
| FAMILY NAME | Das |
| SIGNATURE | DAS N |
| AFFILIATIONS | University of Engineering & Management |
| ORCID | 0000-0001-7879-0071 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Minimizing spread of misinformation in social networks
In the emerging landscape of online social networks (OSNs), the rapid dissemination of misinformation poses a significant challenge to the integrity of information shared among users. Hence, misinformation containment problem in OSNs has drawn significant attention nowadays. In this paper, given a fixed budget, the problem is formulated as minimizing misinformation spread (MMS) problem, which is shown to be an NP-hard problem. With the objective …
Integrating Eemd and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions
Disjoint and Overlapping Community Detection in Small-World Networks Leveraging Mean Path Length
Recent developments on identifying the community structures in real-world networks have established that the community structure may be either disjoint community set (DCS) or overlapping community set (OCS), showing high resemblance with each other. Still, given a network, researchers mostly followed distinct approaches to achieve optimal solutions, either for DCS or for OCS. Moreover, prior knowledge of community structure is needed to select th…
Effect of public sentiment on stock market movement prediction during the Covid-19 outbreak
No prominent works on this page.
Disjoint and Overlapping Community Detection in Small-World Networks Leveraging Mean Path Length
Recent developments on identifying the community structures in real-world networks have established that the community structure may be either disjoint community set (DCS) or overlapping community set (OCS), showing high resemblance with each other. Still, given a network, researchers mostly followed distinct approaches to achieve optimal solutions, either for DCS or for OCS. Moreover, prior knowledge of community structure is needed to select th…
Effect of public sentiment on stock market movement prediction during the Covid-19 outbreak
Integrating Eemd and ensemble CNN with X (Twitter) sentiment for enhanced stock price predictions
Minimizing spread of misinformation in social networks
In the emerging landscape of online social networks (OSNs), the rapid dissemination of misinformation poses a significant challenge to the integrity of information shared among users. Hence, misinformation containment problem in OSNs has drawn significant attention nowadays. In this paper, given a fixed budget, the problem is formulated as minimizing misinformation spread (MMS) problem, which is shown to be an NP-hard problem. With the objective …
Computer Science (4 works) · World Wide Web (3 works) · Artificial Intelligence (2 works) · Combinatorics (2 works) · Complex Network Analysis Techniques (2 works) · Computer network (2 works) · Energy Load and Power Forecasting (2 works) · Engineering (2 works) · Machine learning (2 works) · Mathematics (2 works)