Evidence map›Paper›PMID 30592727›Full record

ArticlePloS one2018

A dynamic discount pricing strategy for viral marketing.

Xiang Zhong, Juan Zhao, Lu-Xing Yang, Xiaofan Yang, Yingbo Wu, Yuan Yan Tang

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xiang ZhongSchool of Big Data & Software Engineering, Chongqing University, Chongqing, 400044, China.
Juan ZhaoSchool of Big Data & Software Engineering, Chongqing University, Chongqing, 400044, China.
Lu-Xing YangSchool of Information Technology, Deakin University, Melbourne, VIC 3125, Australia.
Xiaofan YangSchool of Big Data & Software Engineering, Chongqing University, Chongqing, 400044, China.ORCID 0000-0001-6931-2692
Yingbo WuSchool of Big Data & Software Engineering, Chongqing University, Chongqing, 400044, China.
Yuan Yan TangFaculty of Science and Technology, UOW College Hong Kong/Community College of City University, Kowloon, Hong Kong.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viral marketing has been one of the main marketing modes. However, theoretical study of viral marketing is still lacking. This paper focuses on the problem of developing a cost-effective dynamic discount pricing strategy for a viral marketing campaign. First, based on a novel word-of-mouth propagation model, we model the original problem as an optimal control problem. Second, we show that the optimal control problem admits an optimal control and present the optimality system for solving the optimal control problem. Next, we solve some optimal control models to get their respective optimal dynamic discount pricing strategies. Finally, we examine the effect of some factors on the maximum marketing profit. These results contribute to gaining insight into viral marketing.

Indexed as

Costs and Cost AnalysisMarketingModels, EconomicComputer SimulationHumans

Identifiers

PMID30592727
PMCPMC6310252

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.