5 papers
DeepPM: A Deep Learning-based Profit Maximization Approach in Social Networks
Poonam Sharma, Suman Banerjee
The problem of Profit Maximization asks to choose a limited number of influential users from a given social network such that the initial activation of these users maximizes the pr…
Profit Maximization in Closed Social Networks
Poonam Sharma, Suman Banerjee
Diffusion of information, innovation, and ideas is an important phenomenon in social networks. Information propagates through the network and reaches from one person to the next. I…
Multi-core & GPU-based Balanced Butterfly Counting in Signed Bipartite Graphs
Mekala Kiran, Apurba Das, Suman Banerjee +1
Balanced butterfly counting, corresponding to counting balanced (2, 2)-bicliques, is a fundamental primitive in the analysis of signed bipartite graphs and provides a basis for stu…
Profit Maximization for Viral Marketing in Online Social Networks using Two Phase Diffusion Approach
Poonam Sharma, Suman Banerjee
Now-a-days, Online Social Networks (OSNs) are extensively used by different commercial houses for viral marketing. The key problem that arises in this context is to choose a limite…
A Reverse Reachable Set Based Approach for Motif Oriented Profit maximization in Social Networks
Poonam Sharma, Suman Banerjee
Profit Maximization is one of the key objectives for social media marketing, where the task is to choose a limited number of highly influential nodes such that their initial activa…