Rohith Dwarakanath Vallam

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Eliciting accurate information on any object (perhaps a new product or service or person) using the wisdom of a crowd of individuals utilizing web-based platforms such as social networks is an important and interesting problem. Peer-prediction method is one of the known efforts in this direction but is limited to a single level of participating nodes. We(More)
Misbehaviour due to back-off distribution manipulation has been one of the significant problems faced in IEEE 802.11 wireless ad hoc networks which has been explored recently by the research community. In addition, collusion between misbehaving nodes adds another dimension to this security problem. We examine this problem in a three-node network scenario(More)
There are numerous types of networks in the real-world which involve strategic actors: supply chain networks, logistics networks, company networks, and social networks. In this investigation, we explore the topologies of decentralized networks that will be formed by strategic actors who interact with one another. In particular, we analyze a network(More)
Increased interest in web-based education has spurred the proliferation of online learning environments. However, these platforms suffer from high dropout rates due to lack of sustained motivation among the students taking the course. In an effort to address this problem, we propose an incentive-based, instructor-driven approach to orchestrate the(More)
Several real-world networks exhibit a complex structure and are formed due to strategic interactions among rational and intelligent individuals. In this paper, we analyze a network formation game in a strategic setting where payoffs of individuals depend only on their immediate neighbourhood. We call these payoffs as localized payoffs. In this network(More)
Influence limitation problem is an important problem on networks, especially on computer and social networks. Here we study two kinds of influence limitation problems: (1) Virus inoculation and (2) limitation of misinformation. Large communities are always susceptible toward the spread of epidemic outbreaks. The occurrence of a widespread disease(More)
Given a large population, it is an intensive task to gather individual preferences over a set of alternatives and arrive at an aggregate preference that reflects the collective preference of the population. We show that social network underlying the population can be harnessed to accomplish this task effectively, by sampling preferences of a small subset of(More)
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