A Study on the patterns of word-of-mouth life cycle in Lotka-Volterra competition model

碩士 === 國立臺灣大學 === 統計碩士學位學程 === 104 === Film industry plays an important role in global economic. Box office earnings increase year by year. In 2015, the United States box office earnings are about 10.1 billion dollars, with 38.3 billion dollars global box office earnings. We can found that film...

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Main Authors: Hsin-En Huang, 黃昕恩
Other Authors: Li-Chung Jen
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/83296645578716331430
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spelling ndltd-TW-104NTU053370032017-05-20T04:30:09Z http://ndltd.ncl.edu.tw/handle/83296645578716331430 A Study on the patterns of word-of-mouth life cycle in Lotka-Volterra competition model 以 Lotka-Volterra 雙生態競爭模型探討口碑生命週期之型態 Hsin-En Huang 黃昕恩 碩士 國立臺灣大學 統計碩士學位學程 104 Film industry plays an important role in global economic. Box office earnings increase year by year. In 2015, the United States box office earnings are about 10.1 billion dollars, with 38.3 billion dollars global box office earnings. We can found that film industry has a great potential, especially in the United States. As a result, our study will use the movies which are shown in the United States as research objects. Several researchers have studied the effect of amount of word-of-mouth in recent years, especially the electronic word-of-mouth. Although the effects of amount of word-of-mouth on film industry have been examined by many investigators, no studied have investigated the effect of the positive and negative commentary about movie. So this paper will discuss the effect of the positive and negative electronic commentary on movie. The purpose of this paper is to analyze the competitive relation between positive and negative commentary by Lotka-Volterra Model. Since different competitive relation will have different effects, this paper proposes Lotka-Volterra Model is good for analyzing the relation and intersection from both side. Li-Chung Jen 任立中 2016 學位論文 ; thesis 51 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立臺灣大學 === 統計碩士學位學程 === 104 === Film industry plays an important role in global economic. Box office earnings increase year by year. In 2015, the United States box office earnings are about 10.1 billion dollars, with 38.3 billion dollars global box office earnings. We can found that film industry has a great potential, especially in the United States. As a result, our study will use the movies which are shown in the United States as research objects. Several researchers have studied the effect of amount of word-of-mouth in recent years, especially the electronic word-of-mouth. Although the effects of amount of word-of-mouth on film industry have been examined by many investigators, no studied have investigated the effect of the positive and negative commentary about movie. So this paper will discuss the effect of the positive and negative electronic commentary on movie. The purpose of this paper is to analyze the competitive relation between positive and negative commentary by Lotka-Volterra Model. Since different competitive relation will have different effects, this paper proposes Lotka-Volterra Model is good for analyzing the relation and intersection from both side.
author2 Li-Chung Jen
author_facet Li-Chung Jen
Hsin-En Huang
黃昕恩
author Hsin-En Huang
黃昕恩
spellingShingle Hsin-En Huang
黃昕恩
A Study on the patterns of word-of-mouth life cycle in Lotka-Volterra competition model
author_sort Hsin-En Huang
title A Study on the patterns of word-of-mouth life cycle in Lotka-Volterra competition model
title_short A Study on the patterns of word-of-mouth life cycle in Lotka-Volterra competition model
title_full A Study on the patterns of word-of-mouth life cycle in Lotka-Volterra competition model
title_fullStr A Study on the patterns of word-of-mouth life cycle in Lotka-Volterra competition model
title_full_unstemmed A Study on the patterns of word-of-mouth life cycle in Lotka-Volterra competition model
title_sort study on the patterns of word-of-mouth life cycle in lotka-volterra competition model
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/83296645578716331430
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