Yapu Zhang
Biographic Data
| ID | 10053895 |
|---|---|
| NAME | Yapu Zhang |
| GIVEN NAMES | Yapu |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG Y |
| AFFILIATIONS | Beijing University of Technology |
| ORCID | 0000-0001-5122-4854 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Supplementary Influence Maximization Problem in Social Networks
Due to important applications in viral marketing, influence maximization (IM) has become a well-studied problem. It aims at finding a small subset of initial users so that they can deliver information to the largest amount of users through the word-of-mouth effect. The original IM only considers a singleton item. And the majority of extensions ignore the relationships among different items or only consider their competitive interactions. In reali…
Output–Input Ratio Maximization for Online Social Networks
In the last few decades, profit maximization (PM), which is mainly considered for maximizing net profits, i.e., the difference between gain and cost, has been a prominent issue for online social networks (OSNs). However, the output-to-input ratio, which is an important metric in economics, is also worth studying for OSNs. In this article, we present a novel problem that considers the PM problem from the ratio of gain and cost, known as output-to-…
Effector Detection Problem in Social Networks
Nowadays, different innovations spread rapidly in online social networks. An activation state can indicate whether each user adopts the target information. The effector detection problem aims to find a way to generate an activation state as close to an observed one as possible. In this article, based on the influence spread, the unconstrained and constrained effector detection problems are proposed. To tackle them, we design two approximation alg…
No prominent works on this page.
Effector Detection Problem in Social Networks
Nowadays, different innovations spread rapidly in online social networks. An activation state can indicate whether each user adopts the target information. The effector detection problem aims to find a way to generate an activation state as close to an observed one as possible. In this article, based on the influence spread, the unconstrained and constrained effector detection problems are proposed. To tackle them, we design two approximation alg…
Output–Input Ratio Maximization for Online Social Networks
In the last few decades, profit maximization (PM), which is mainly considered for maximizing net profits, i.e., the difference between gain and cost, has been a prominent issue for online social networks (OSNs). However, the output-to-input ratio, which is an important metric in economics, is also worth studying for OSNs. In this article, we present a novel problem that considers the PM problem from the ratio of gain and cost, known as output-to-…
Supplementary Influence Maximization Problem in Social Networks
Due to important applications in viral marketing, influence maximization (IM) has become a well-studied problem. It aims at finding a small subset of initial users so that they can deliver information to the largest amount of users through the word-of-mouth effect. The original IM only considers a singleton item. And the majority of extensions ignore the relationships among different items or only consider their competitive interactions. In reali…
Algorithm (3 works) · Approximation algorithm (3 works) · Mathematical optimization (3 works) · Mathematics (3 works) · Submodular set function (3 works) · Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Maximization (2 works) · Mobile Crowdsensing and Crowdsourcing (2 works) · Spam and Phishing Detection (2 works)