Divyakant Agrawal

Data-Driven Framework for Analyzing User Interactions in Social Media

High level project in Social Networks (relating to various other DSL projects) involving collaborations of: Divy Agrawal (Computer Science), Stacy Patterson (Mechanical Engineering), Andrew Flanagin (

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Active

New trend definitions and scalable solutions for social networks

Social networks provide a large-scale information infrastructure for people to discuss and exchange ideas about variety of topics.

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Active

Detecting influentials in a social network

Why is it that some ideas or products become unusually successful and get adopted widely while others don’t?

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Active

Limiting the spread of misinformation in social networks

In an ongoing project, we are studying the notion of competing campaigns in a social network and address the problem of influence limitation where a “bad” campaign starts propagating from a certain nod

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Active

Dynamic Clouds

As more services become dependent on cloud computing infrastructures, the need arises for applications to be hosted across multiple clouds.
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Active

Transactional Data Stores in the Cloud

Cloud computing has emerged as a powerful paradigm for hosting Internet scale applications in large computing infrastructures.

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Modeling and Optimizing Diffusion of Information in Social Networks

Online Social Networks (OSN) have been shown to have benefits as a medium for fast, widespread information dissemination. They provide fast access to large scale data in little-to-no cost.

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Active

GStore: On Demand Atomicity in Key-Value Stores

Key-Value data stores have been extremely successful in supporting large applications with huge amount of data and large number of concurrent requests. But Key-Value stores provide transactional guarantees only at the granularity of single rows which is restrictive for some applications. This project aims to build on the Key-Value data stores to provide transactional guarantees over dynamic groups of keys specified by the applications on demand.

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Active

Location Based Services

Location Based Services project targets to construct a data analysis platform for location information. This platform is a kind of multi-dimensional database. It is designed to handle large amounts of data and high data insertion rates, while utilizing several characteristic properties of location information to achieve high performance and usability.

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Active

Data Privacy and Security in the Cloud

With all the benefits of storing and processing data in the cloud, the security of data in the cloud is still a big concern, and even a road block that rohibits the adoption of the cloud for data rich

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