Table of Content

25 October 2017, Volume 26 Issue 10

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Theory Analysis and Methodology Study

Generalized Interval Shapley Value for Interval-valued Cooperative Games

ZOU Zheng-xing, ZHANG Qiang

2017, 26(10):  1-9.  DOI: 10.12005/orms.2017.0227

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The research of interval Shapley value for interval-valued cooperative games often assumes that there are some restrictions on characteristic function of this class of games, such as superadditive, convex and size monotonic. To expand the scope of the research, this paper investigates the interval-valued cooperative games without these restrictions. Firstly, we point out several shortcomings of the generalized Hukuhara difference and propose the so-called extended generalized Hukuhara difference. Then, based on extended generalized Hukuhara difference, the generalized interval Shapley value for interval-valued cooperative games is introduced. We characterize the generalized interval Shapley value using the axioms of interval efficiency, interval symmetry, interval dummy player and interval additivity. Meanwhile, we prove the existence and uniqueness of the generalized interval Shapley value and discuss some properties of this value. The study shows that an arbitrary interval-valued cooperative game has a unique generalized interval Shapley value. Finally, a numerical example is given to illustrate the feasibility and practicability of the generalized interval Shapley value.

Port Container Handling Equipment Evaluation Based on Multi-attribute Decision-making Method and Information Entropy Method

ZHENG Si-si, WANG Ai-hu

2017, 26(10):  10-19.  DOI: 10.12005/orms.2017.0228

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Handling equipment selection is of great significance for the development of specialized container terminals, and hence it is addressed in this article. Recognizing the multi-attribute nature of container handling equipment evaluation and the integrative trend of port logistics industry, we introduce a multi-attribute decision-making model based on information entropy method(MADM-IEM). Taking handling equipment as the research object, we propose a comprehensive handling equipment evaluation index system. In the handling equipment evaluation model, the indices are featured with incompatibility, uncertainty and difficulty to quantify. Therefore, the multi-attribute decision-making method and data utility value of information entropy method are integrated to objectively both normalize and calculate the weight coefficient of attribute indices. For the ranking of different handling equipment options, the ELECTRE method and TOPSIS method are utilized separately, which results in consistent outcomes and verifies the feasibility and validity of the proposed method. Finally, the sensitivity analysis and causality analysis between weight combinations and the port terminal handling equipment evaluation results are thoroughly investigated. The research results indicate that the proposed MADM-IEM model could be used to facilitate the decision making regarding the container port infrastructure planning.

An Efficient Solution of Cycle-free Graph Games Based on AT Value

SHAN Er-fang, XIE Na-na, ZHANG Guang

2017, 26(10):  20-26.  DOI: 10.12005/orms.2017.0229

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This paper considers the worth of the grand coalition no less than the sum of the worth of all components for games with cycle-free communication graph structure. By introducing the property of fair distribution of the surplus, that is, the change in the average payoff of the players in a component is equal to the average payoff of the player in any other component, we propose an efficient solution of cycle-free graph games based on AT value. In addition, we provide its axiomatic characterizations combined with efficiency and component fairness. Especially, we show that the efficient solution is an element of the core for superadditive games with cycle-free communication structure which illustrates good stability. Finally, by analyzing an example applied to the efficient solution, we conclude that the more surplus to the bigger coalitions, the more payoff the key player, that is, the player which possesses the larger degree can gain.

Binary Uncertain Linguistic Term Aggregating Operators and Its Application to Group Decision Making

WANG Zhong-xing , LIU Jiu-bing , LIU Fang , HE Ting-ting

2017, 26(10):  27-33.  DOI: 10.12005/orms.2017.0230

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With respect to group decision-making problems based on uncertain linguistic evaluation information, this paper expands uncertain linguistic term and defines binary uncertain linguistic term which contains the weight information of linguistic term. Meanwhile, the operational laws of binary uncertain linguistic term are given to overcome the current blemish of uncertain linguistic term aggregating operation. On this basis, an approach to group decision making problems is proposed based on binary uncertain linguistic term aggregating operators. Finally, an example is given to illustrate the feasibility and effectiveness of this decision-making method.

Ship Dredging Scheduling Optimization at Port Based on Human-computer Interactive Ant Colony Algorithm

WU Nuan, WANG Nuo, LIU Zhong-bo, LU Yue

2017, 26(10):  34-41.  DOI: 10.12005/orms.2017.0231

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To solve the ship dredging scheduling problem of many ships detained caused by port unable to work normally, this paper considers the interests of both the ship and the port, and is focused on a multi-objective optimization model with the objectives of shortest average time at port, lowest additional operation cost and fastest recovery to normal order of production. Multi-attribute utility theory is adopted to transform the multi-objective to a single objective optimization and construct the evaluation function. This paper selects improved ant colony algorithm combined with human-computer interaction and neighborhood search for optimization. The actual case in Dalian container terminal is used for verification. The result shows that the model could solve the ship dredging scheduling problem better than the original schedule. Moreover, the improved algorithm has a higher efficiency than conventional ant colony algorithm. The proposed model and algorithm can provide a new thought and approach for production organization in the container terminal.

Research on the Optimization of Hub and Spoke Public Transportation Network Based on the Line “Heterogeneity” Hypothesis

WEI Su-hao, ZONG Gang

2017, 26(10):  42-48.  DOI: 10.12005/orms.2017.0232

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The problem of local static congestion in public transport is becoming the key factor to improve the efficiency of public transport network. To solve this problem, we change the line “homogeneity” hypothesis, and put forward the hub and spoke network design applied in the field of public traffic. Then based on considering the variable transportation cost per unit,constant cost, hub transfer cost etcetera, we quantify the economies of scale brought about by the trunk bus transportation between hubs. In order to improve the accessibility of public transport network sites,and reduce the transportation cost through the hub layout under multiple constraints,we build a model of hub and spoke public transport network optimization which conform to single distribution, multi hub and hybrid hub and spoke network structure features. Finally, based on the Simulated Annealing,the validity of the model is verified by the example analysis and discussion.


Information Pricing of Advanced Traveler Information Systems in Bi-modal Transportation Networks

LIANG Jing-jing, ZHANG Xiao-ning, YE Yi-peng

2017, 26(10):  49-55.  DOI: 10.12005/orms.2017.0233

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In this paper, we investigate the best strategy for the Advanced Traveler Information Systems(ATIS)service provider when the information pricing of their service should be decided in bi-modal transportation networks. In a bi-modal transportation network, many factors can influence the market scale of ATIS, and the cost of providing ATIS services are usually related to both the information quality and the market scale. Thus, we treat both information price and information quality as decision variables in a bi-level program, which is composed of a mixed user equilibrium model and a profit model. Afterwards, the numerical analyses are carried out in the bi-modal traffic network of Hongkou district in Shanghai, whose OD trip volumes are calculated by the OD matrix estimation in TransCAD with the link flow we survey. The related economic problems are discussed. Finally, the optimal solution of the bi-level program is obtained by a hybrid algorithm, consisting of the Particle Swarm Optimization(PSO)algorithm and a MSAF algorithm. The model and the algorithm can be used to obtain the best strategy for the ATIS service provider.

Disruption Management Model and Algorithm for Vehicle Scheduling with Time Window Changes

YANG Hua-long, YE Di, ZHANG Qian, ZENG Qing-cheng

2017, 26(10):  56-64.  DOI: 10.12005/orms.2017.0234

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Vehicle scheduling problems(VSP)play a very important role in the area of urban logistics distribution. Traditionally, it assumes that customers’ time window remains unchanged during the execution of distribution plan for a VSP solution. In reality, however, there usually exist disruptions caused by the changing of customers’ time window, which make it difficult to conduct the predetermined distribution plan. In order to handle this problem, this paper measures the disruption degree by analyzing the impact of disturbance on path, cost and service time with the methodology of disruption management, and the disruption management model is established aiming at minimizing the generalized cost deviation to the current distribution plan. The disruptions are identified by means of judging whether customers’ time window changes can have an effect on the current plan. And a new dispatching method using tabu search algorithm in combination with the relocate operator to generate the neighborhood solution is designed based on the results of disruptions identification. The numerical example tests the effectiveness of the proposed model and algorithm, and moreover, the sensitivity analysis verifies the applicability of the proposed model to various values of goods. The experimental results show that the disruption management model can fully depict the disruption impacts on the current distribution plan, the proposed method is more practical than the global rescheduling method, and it can generate a satisfactory distribution vehicle scheduling plan in a shorter time.

Research on Carbon Abatement Cost Allocation Comparison of Supply Chain Enterprises Considering the Low-corbon Preference of the Consumers

LI You-dong, XIE Xin-peng

2017, 26(10):  65-73.  DOI: 10.12005/orms.2017.0235

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Under the low-carbon environment, we focus on a dyadic low-carbon supply chain with a manufacturer and a retailer to develop a game model for studying the issues of carbon emission reduction.The consumers are assumed to be of low-carbon preference and accordingly will note the carbon emission of product when shopping. This paper studies the impact of two models of cost sharing-one in which the retailer offers a cost sharing contract and the other in which the retailer and manufacturer bargain on the cost sharing contract on carbon emission reduction, prices and channel profits.We find that with the cost-sharing and Nash bargaining cost sharing contract, the retailer can achieve the goal of reducing carbon emissions together with manufacturer, so as to promote manufacturer to improve carbon emissions, accordingly will improve supply chain profit. However, the supply chain performance of Nash bargaining cost sharing contract is higher than that of the retailer’s cost sharing contract. At the same time, the increase of consumers’ low carbon preference can encourage retailer to allocate the cost of emission reduction,and how to determine the carbon abatement cost sharing ration is analyzed with the Nash bargaining model. Finally, the influence of the emission reduction factors on the pricing, the amortization ratio of retailer’s emission reduction and profit of the supply chain of different decision structures are verified by numerical analysis.

Study on the Coordination Equilibrium in Supply Chain Based on Fuzzy Value-added Information

YU Xiao-hui, ZHOU Hong, ZHANG Xu-feng, LIU Yan

2017, 26(10):  74-80.  DOI: 10.12005/orms.2017.0236

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The coordination equilibrium in supply chain is studied. This supply chain contains a supplier and two heterogeneous retailers. Each retailer has full knowledge about his own value-added cost structure. If a retailer does not want to share his information, then the other retailer and the supplier can only know his fuzzy information. The coordination results are not the same when the parameters of demand function are different. We propose the necessary condition under which some kind of coordination equilibrium exists. In the coordination equilibrium, the whole supply chain gets the win-win situation.

Benefit Distribution Mechanism for Centralized Control VMI＆TPL Mode Based on ANP Method

YANG Huai-zhen, HUO Yu-long, LI Lei

2017, 26(10):  81-87.  DOI: 10.12005/orms.2017.0237

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The upstream of a supply chain composed of one manufacturer, n parts supplier and n TPL is selected as the research object. With the perspective of revenue sharing contract, the benefit distribution mechanism of centralized control VMI&TPL mode based on NASH negotiation is constructed. In order to improve the effectiveness of the benefit distribution mechanism, three factors(i.e. the proportion of investment, the proportion of risk allocation and the cooperation among the supply chain members)are introduced to it based on the ANP method. The numerical example study shows that the improved benefit distribution mechanism based on ANP method can guarantee the reasonable flow of profit brought by the centralized control VMI & TPL model and realize the win-win situation among the supply chain members.

Effects of In-Store Service on Supplier Encroachment

SHI Chun-lai, NIE Jia-jia, LI Wei-chen

2017, 26(10):  88-93.  DOI: 10.12005/orms.2017.0238

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This paper studies effects of in-store service on supplier’s launching direct channel. We find that the supplier always chooses to launch the direct channel considering high and low in-store service. In addition, the value of the dual supply chain is higher than that of the single channel. To our surprise, the retailer does not always suffer from supplier encroachment. In model, when the in-store service is low, the retailer benefits from supplier encroachment, when the in-store service is high, the retailer suffers from supplier encroachment. In model, the retailer benefits from the supplier encroachment, namely “win-win” outcomes for the supplier and the retailer when Poisson arrival rate of consumers is high, the retailer suffers from the supplier encroachment, namely “win-lose” outcomes for the supplier and the retailer when Poisson arrival rate of consumers is low.

Dynamic Interaction Model of Price Conflict in Dual-channel Supply Chain Based on GMCR

ZHAO Shi-nan, XU Hai-yan

2017, 26(10):  94-100.  DOI: 10.12005/orms.2017.0239

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There exists a dynamic and repeated interaction process between the equilibrium of stability analysis and the preference of decision makers within the framework of Graph Model for Conflict Resolution. Therefore, the dynamic and interactive conflict analysis method is proposed in this paper by designing the risk perception system of decision makers between preference information and equilibrium, which can dynamically simulate the interaction relationship between risk perception, preference information and equilibrium of a conflict. Furthermore, the dynamic interaction model of price conflict in dual-channel supply chain based on GMCR is developed to effectively explain the potential behavior of a manufacturer and a retailer in the price game from the perspective of dynamic interaction of conflict analysis. Additionally, this model can accurately predict the equilibrium of the price conflict in dual-channel supply chain when the decision makers are risk-averse, which provides a systematic and efficient conflict analysis tool for the supply chain managers.

Evolution Analysis of SMEs’ Credit Market Based on Supply Chain Finance

LI Xiao-li, XIN Yu-hong

2017, 26(10):  101-105.  DOI: 10.12005/orms.2017.0240

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According to the evolutionary game theory, evolutionary game models of the SMEs’ loan market are established respectively under the traditional mode and supply chain finance mode, and the evolving rules of SMEs’ credit market are analyzed. Then, the impact of supply chain finance on SMEs’ credit market is discussed. The results show that the system is not stable under the traditional mode, so it is difficult for SMEs to obtain bank loans. On the contrary, the system is in a stable state under the supply chain finance mode, and the SMEs’ loan market develops well. At last, the results are validated with numerical analysis.

Application Research

Empirical Analysis of Investment Decision-making for the Photovoltaic Power —Based on a Modified Dynamic Programming Method by ARMA-GARCH Model

WANG Chao-fa, SUN Jing-chun

2017, 26(10):  106-111.  DOI: 10.12005/orms.2017.0241

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The key problem for photovoltaic investment decisions is whether there is a reliable method that can be applied to assess the optimal critical value and the maximum opportunity value. This study choses 836 day closing prices (from January 4, 2012 to June 24, 2015) of a stock, which has a “twinborn” relationship with the value of photovoltaic investment program, to establish a volatility forecasting model. On this basis, this paper revises the dynamic programming method of the investment decision-making. Then, the optimal critical value, the maximum opportunity value and the trend of these two values under the different volatility are given. This research shows that: as a result of the conditional heteroscedasticity of the “twinborn” stock price, the optimal critical value and the biggest opportunity value have different sensitivity for different volatility—When the volatility increases, these two values increase, but the increasing extent are different; When the volatility reaches a certain value, the increasing extent of the two values are obviously improved. Therefore, the analysis of the volatility helps to improve the quality of decision-making, and reduce the loss of the enterprises.

Study on Product Positioning-price Decision Making, Channel Structure and Welfare

LIU Jun, TAN De-qing, LI Liang, XIE Hui-qing

2017, 26(10):  112-120.  DOI: 10.12005/orms.2017.0242

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Under the competing circumstance, the effects of manufacturers’ bargaining power on product positioning-pricing decision making, member profits, users and society are discussed. The paper studies equilibrium distribution of channel structures by stability analysis method, and expands the basic models. The study shows that the increase of manufacturers’ bargaining power will improve wholesale price, retail price and channel members’ profits. It will prefer famous brand when the retailer chooses a manufacturer. Independent sales model will increase consumer surplus and social welfare. The increase of cost difference will improve social welfare. Though the uncertainties of user preferences help to improve channel member’s profits, they will damage the overall interests of the community.

Optimal Factoring Policy in a Timevcontinuous Production Model with Deterministic Demand

GU Chao-cheng, DENG Shi-ming, LI Yan-hai

2017, 26(10):  121-128.  DOI: 10.12005/orms.2017.0243

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Factoring is a financing mechanism in which a financial institution provides short-term finance to the seller in a supply chain based on the buyer’s bank credit and business transactions between firms. With a time-continuous production model, this paper investigates the optimal factoring policy of a capital-constraint manufacturer facing constant demand rate. Building on the trade-off between financing cost of factoring and demand loss incurred from capital shortage, we compare the manufacturer’s profits under a fixed-maturity factoring policy and a just-in-time factoring policy. Under the fixed-maturity factoring policy, the optimal timing of using factoring to finance production decreases with profit margin of the manufacturer, but increases with factoring fee rate, the maturity of accounts receivable and the manufacturer's initial capital level. The factor, as a Stackelberg game leader, decides the optimal factoring fee rate to maximize his own profit. Our numerical results show that a factor may earn less profit when charging the manufacturer a higher factoring fee rate. We also show that the factor should charge a less factoring fee rate when the accounts receivables are with longer maturities.

Study on Regime Switching of Capital Asset Pricing Model Considering Investor Sentiment: Based on the Emotion Analysis of the Stock Forum Discussion

LUO Kan, WANG Chun-feng, FANG Zhen-ming

2017, 26(10):  129-136.  DOI: 10.12005/orms.2017.0244

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In this paper, we first establish a capital asset pricing model considering investor sentiment. We find that the investor sentiment is a key factor in the asset pricing and there is regime switching in the influence to investor sentiment about asset pricing(three regimes exist). Next, through simulation we show that the reason of regime switching is that when investor sentiment increases, the optimal portfolio excess return is affected by both portfolio effect and emotional effect. Finally, we construct a proxy of investor sentiment based on the emotion analysis of the stock forum discussion, and empirically confirm the theoretical model in this paper. In the empirical study, we find that the results from linear regression reverse the positive or the negative of investor sentiment’s influence on the stock index excess return when investor sentiment is in the second regime, and underestimate investor sentiment’s influence on the stock index excess return when investor sentiment is in the third regime.

Portfolio Optimization Model Based on Dynamic Non-Linear Loss Aversion and Empirical Research

ZHAN Ze-xiong, WU Zong-fa, CHENG Guo-xiong

2017, 26(10):  137-147.  DOI: 10.12005/orms.2017.0245

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Considering the investors’ psychological characteristics of loss aversion from the perspective of behavioral finance, portfolio optimization models based on linear loss aversion and non-linear loss aversion are constructed. With China stock market data to model static scenario and four dynamic scenarios, this paper empirically studies the optimal asset allocation and performance of different portfolio optimization model with various loss aversion parameters in different scenarios, and then compares results with traditional portfolio selection models. The study demonstrates portfolio optimization models based on loss aversion performance over traditional portfolio selection models, and meanwhile, the asset allocation strategy and portfolio performances are diverse among loss aversion models with different loss aversion parameters and in different scenarios.

Suspect Encirclement Model Based on Vertex-cut

ZHOU Wei-gang, FENG Qian-qian

2017, 26(10):  148-152.  DOI: 10.12005/orms.2017.0246

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This paper studies traffic and patrol polices’ suspect encirclement problem. This problem is a part of Problem B of 2011 China Undergraduate Mathematical Contest in Modeling. A set of patrol polices stationed on patrol service platforms need to be assigned to some nodes of the road network node set to cut off the suspect’s escape route after receiving the report of the incident. This problem is transformed to prevent the suspect from escaping to a fixed node set. Fixing the chosen set, we analyze whether the set is an encirclement to a node. The definition of vertex-cut is expanded. Then, we develop vertex-cut and compact vertex-cut judgement optimization models, rewrite the model on vertex-cut as a set of constraints, and use it to model suspect encirclement problem. Four optimality criteria are used to develop four 0-1 integer programming models, respectively. Numerical examples based on Lingo for some of these models are given.

Mean-risk Analysis Based on Stochastic Reference Point

WEN Ping, HUANG Yi-zhou

2017, 26(10):  153-156.  DOI: 10.12005/orms.2017.0247

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This paper proposes a risk measure method based on stochastic reference point according to the reference dependent preference model and the model of mean-risk is constructed. It is found that the decision method is consistent with the first order stochastic dominance and the second order stochastic dominance. Because of the consistency between the second order stochastic dominance and the expected utility theory, the mean-risk model is also consistent with the expected utility theory.

Management Science

Research on Coupling Coordination Degree between Chinese Industrial IT Capability and Industrial Performance ——Industrial Classified Measurement Based on Micro-data

ZHENG Qian, GU Dong-xiao, LIANG Chang-yong, WANG Wei-zhong

2017, 26(10):  157-165.  DOI: 10.12005/orms.2017.0248

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Along with the development of “Internet+” Strategies, it has great significance to investigate the coordinated development situations between industrial information technology(IT)abilities and industrial performances in different industries, which could help the government systematically grasp the development level of informatization and make effective industrial policy in China. Based on micro-data of listed companies from 2008 to 2015, the coupling coordination model is adopted to measure the four categories of industries’ coupling coordination degrees between IT capabilities and industrial performances. The results show that, as a whole, there is a middle-high coupling relationship between IT capability and industrial performance. However, the coupling quality is not high, and the coupling coordination degree is at a middle-low level with a gradually rising trend. Furthermore, further analyses of the reasons why some dissimilarities of coupling coordination degrees exist in different industries, as well as some policy suggestions are puts forward.

Dynamic Evaluation of the Development of Ecological Civilization Based on Reward or Punishment and the Application

ZHOU Mei-chen, GUO Ya-jun, LI Wei-wei

2017, 26(10):  166-172.  DOI: 10.12005/orms.2017.0249

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Promoting the construction of ecological civilization is the new requirements of building a moderately prosperous society. In this paper, a model of ecological civilization evaluation with the characteristics of rewards and punishments and the guiding function is proposed. Firstly, the evaluation values of ideal point of the evaluated objects at every moment are identified by the actual development trend of the evaluated objects and different evaluated objects which are at the same time. Secondly, according to the difference between the evaluated object its actual values and ideal points determine the encouragement and chastisement, encouragement and chastisement factor and the dynamic comprehensive evaluation values with the feature of reward and punishment. Finally, this method is applied to evaluate and compare the ecological civilization status of 10 provinces in China.

Analysis of Subsidy Strategies against Strategic Emerging Industries Characterized by Innovation Driving Mode

QIN Zi-xing

2017, 26(10):  173-180.  DOI: 10.12005/orms.2017.0250

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With green car industry for example, a dynamic game model between government and enterprises is built to adjust subsidy strategies, promote R&D investment and it tries to deal with the problem: innovation subsidies can hardly help strategic emerging industries enhance innovation-driven force. Assume that green car industry is characterized by innovation-driven, subsidy strategies and innovation investment strategies under government rational decision and bounded rational decision are analyzed, and the impact on equilibrium strategies by improved innovation environment is discussed. The results indicate that with the industry innovation driven, enterprises’ optimum innovation investment ratio is not sensitive to subsidies. Excessive subsidies may crowd out enterprises’ innovation investment, and tend to raise the possibility of enterprise arbitrage. Besides, improved innovation environment contributes to enterprises’ market principal position, and could weaken market intervention caused by government regulations.

Conflict Analysis Based on GMCR-NPAWLAK Hybrid Model

MENG Hong-peng, XU Hai-yan, HOU Yu-hang

2017, 26(10):  181-187.  DOI: 10.12005/orms.2017.0251

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In conflict analysis, decision maker’s strategy always includes two, “yes or no”, which is not reasonable in the reality. Neutral attitude is then introduced into the conflict system as the PAWLAK model, which is better in the reality, but no solution of the system can be found. Later on, a new PAWLAK model(NPAWLAK model)is proposed, which expands the decision makers’ two attitudes to three degree of the decision options, and therefore, the study of the global feasible solution of system is of significance to the decision maker’s choice. Based on the NPAWLAK model, this paper introduces the graph model for conflict analysis into the NPAWLAK model and then proposes the GMCR-PAWLAK hybrid model. In this hybrid model, the option prioritizing method of GMCR is expanded and improved to suit the new model, and computes the objective preference of every decision maker. Meanwhile, this model provides an algorithm to look for the global feasible solution. According to the analysis decision makers’ preferences and by means of the algorithm presented, the global feasible solution could be achieved easily. At last, this paper uses an example of labor-capital conflict system in an enterprise to model this system and analyze the two members’ preferences, and then obtains their preferences and the global feasible solution. Moreover, it verifies the validity of this new hybrid model.

Study on the Emergence of Technological Innovation Network Community Structure and Effect on Ambidexterity Innovation in Asymmetric Perspective

WEI Long, DANG Xing-hua

2017, 26(10):  188-199.  DOI: 10.12005/orms.2017.0252

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In order to deal with the technology innovation community phenomena between global network and ego network, and the innovation paradox of radical and incremental innovation in the network community, this paper analyze the emergence characteristics of technological innovation network community structure on different levels to explore the effect of dynamic community structure on ambidexterity innovation in asymmetric perspective. Then an empirical test is made by fast unfolding of communities’ algorithm and multiple regressions with high-tech bio pharmacy industry data. The results show that there exists a giant component of multiple network communities on the macro level of the global network; the meso level of network community has selection preference features with core-periphery structure; in the micro level of ego network , the two dimensional dynamic individual behaviors are drastic changed .Membership turnover and movement across different network communities not only have significant positive relationship with radical innovation ,but also have the approximate U-shaped correlation with incremental innovation. In the relationship between dynamic communities and ambidexterity innovation, the position asymmetry moderated effect is confirmed, but technology asymmetry has no significant moderated effect. This research can reveal the collaboration pattern of network communities. It is significant for the behavior of innovation organization and stability of technology innovation network.