网络经济的传奇——网络游戏行业研究报告

国际网络游戏市场格局 目前,全球电脑游戏行业已成为与电影、电视、音乐等并驾齐驱的最为重要的娱乐产业之一,网络游戏已经展现出成为一个巨大的新兴产业的潜力。 国际网络游戏市场格局分为四个层次和梯队。 第一梯队:微软、SONY两大巨头,百亿市场级别 微软和索尼两大巨头都有操控全球市场的实力,各自投入数十亿美元,推出独立的游戏平台产品即微软Xbox、索尼计算机娱乐的PS2。

个股警示

本周上证指数在探底1634点之后产生快速的反弹行情,不过在1700点上方存在较大的压力。从目前走势分析,大盘运行箱型整理的可能性很大。在个股方面,并没有因为大盘回调而全线崩溃,前期蓝筹股卷土重来。

Enhanced Power Allocation Scheme in Ultra-Dense Small Cell Network

A feasible design of ultra-dense Small cell network involves an effective solution to the interference coordination especially in cell edge. In this paper, we propose a channel state and interference aware power allocation scheme(PAG) as an enhanced solution to improve the system performance, especially for the cell-edge users. Cournot model in Non-cooperative game is employed for power adjustment in Small cell clusters to increase cell-edge users' throughput by considering the power limitation and interference coordination. Additionally, we take iterative Water Filling scheme as a comparison to clarify that the PAG scheme has struck a favorable balance between system efficiency and fairness. Simulation results show that the proposed scheme contributes to the enhancement of edge users' throughput and cells' coverage. Moreover, the scheme is observed to show a stronger adaptability in denser Small cell networks.

Towards SDN Based Queuing Delay Estimation

As one of Qo S(Quality of Service) metrics, delay is critical important to delay sensitive applications, such as interactive video, network game and online surgery. In this paper, we exploit SDN(Software Defined Networking) advantages to solve delay Qo S problem. Our work mainly focuses on SDN based queuing delay estimation with real traffic and end-to-end delay control. First, we propose a queuing estimation model and extended it for end-to-end delay of the whole path. It is proved to be feasible and accurate with experimental results in SDN environment. Second, in order to demonstrate the use of our proposed model, we also implement an end-to-end delay control application in SDN. It fulfills specific delay Qo S requirements by dynamically switching flows to a suitable queue based on estimation results and delay requirements.

A Stackelberg Differential Game Based Bandwidth Allocation in Satellite Communication Network

In this paper, a Stackelberg differential game based approach is proposed to solve the bandwidth allocation problems in satellite communication network. All the satellites are divided into two groups, one has high download requirements, and the other one has low download requirements. Each satellites group has its own controller for bandwidth allocation, and can get payments from the satellites for the allocated resources. The relationships between the controllers and satellites are formed as a Stackelberg game. In our model, differential equation is introduced to describe the bandwidth dynamics for the whole satellite communication network. Combine the differential equation and Stackelberg game together, we can formulate the bandwidth allocation problems in satellite communication network as a Stackelber differential game. The solutions to the proposed game is solved based the Bellman dynamic equations. Numerical simulations are given to prove the effeteness and correctness of the proposed approach.

Study on Major Issues Conceming the Implementation of the Online Game Shutdown System --With an Emphasis on Examples of Korea

This study is conducted on the special provision of the Korean government to prevent youths＇ addiction to online games. Judging that the youths＇ addiction to online games is serious, the Korea government made a legal provision to control the phenomena of youths＇ online game addiction. At that time, there were lots of conflicting opinions in the course of implementation of the related governmental act. The purpose of this study is investigating what conflicting opinions there were in the course of the legislation and also the fundamental cause of the opinion confliction and the countermeasures thereby. Especially, it is noteworthy that two departments of the government had different legal approaches toward the issue. Thus, this study will present an affordable suggestion for other countries which have youths＇ online game addiction problems.

Dynamic overlapped spectrum allocation based on potential game in cognitive radio networks

In order to make full use of wireless spectrum resources,the behavior of cognitive radio(CR)for dynamic spectrum allocation is analyzed based on the game theoretic framework.The traditional spectrum allocation schemes consider the spectrum allocation among independent frequency bands only,without taking into account mutually overlapped frequency bands.For this reason,an optimal allocation etiquette is defined to promote the cross characteristic of the frequency bands in a dynamic spectrum allocation model.New interference operator and interference temperature constraints are introduced in order to realize calculation of the interference,and the corresponding spectrum allocation scenario can be further formulated as a potential game.Based on the characteristic of dynamic selection using the game theory and the interference avoidance rule of interference temperature,the robustness of CR networks is increased and the scenario is more suitable for the dynamic changing of actual wireless communication and energy saving communication systems.Simulation results show that the signal to interference and noise ratio(SINR) level can be significantly improved through the optimal allocation of any available spectrum.The utilization rate of spectrum and throughput of overall CR networks are increased by fully utilizing the spectrum resources in the dynamic spectrum allocation model.

A Survey for Exploring Personality Traits of Excessive Online Game Users in Japan

For the aim at exploring differences on personality traits between excessive online game users and non-excessive users in Japan, an online survey was conducted using psychological scales measuring addictive tendencies for online gaming, depressive tendencies, aggression, and self-concealment. The results revealed that excessive online game users having addictive tendencies in Japan had lack of self-esteem as one of depressive tendencies, high aggressive tendencies, and low tendency of self-disclosure, in contrast with non-excessive users. Moreover, it was suggested that these users had a confidence in the society based on contributive behaviors in multi-player groups of online gaming.

Pseudo and Digital Parapraxis in MMORPGs

This communication proposes to study some language processes, similar in literature and videogames： parapraxis and the choice of a pseudo. It will aim to show how the use of a word reveals the intimacy of the subject, just like the autobiographical novel, which gives information about the writer. We would therefore have the presages of a self-writing in the creation, naming and storytelling of the avatar of a videogame player. From the example of a young player of the MMORPG （Massively Multiplayer Online Role Playing Games） networking game Dofus, who we met in consultation, we will see how his avatar ＂Deadlop＂ comes from parapraxis and enables the narration of his emotional intimacy. The unconscious elements that led to the creation of the pseudo enabled him to tell his story and grasp some unexplained facets of himself.

A Game-Theoretic Approach to Elastic Control in Software-Defined Networking

Elastic control could balance the distributed control plane in Software-Defined Networking(SDN). Dynamic switch migration has been proposed to achieve it. However, existing schemes mainly focus on how to execute migration operation, but not why. This paper designs a decision-making mechanism based on zero-sum game theory to reelect a new controller as the master for migrated switches. It first chooses a switch for migration in the heavy controller which invites its neighbors as the game players to compete for the master role of this switch in the game-playing field(GPF) which is an occasional and loose domain for game-playing. Second, based on the concept of GPF, we design a decentralized strategy to play the game and determine which player as the final master. We implement it by extending the Open Flow protocol. Finally, numerical results demonstrate that our distributed strategy can approach elastic control plane with better performance.

On the energy efficiency of relay selection in multi-relay cooperative network using Vickrey auction game

This paper focuses on the energy efficient relay selection problem in a cooperative multi-relay network,aims to find the most energy efficient relay node for the source node while ensuring its minimum data rate requirement.The interaction between the source node and the relay nodes is modeled as a Vickrey auction game,when the source node broadcasts a cooperation request,the relay nodes compete for the cooperation,and the one with the minimum bid will be chosen which denotes the cost of the source node during the cooperation process,but it only needs to provide the minimum bid provided by the other relay nodes,which can encourage all the relay nodes to give the true bid.Besides,the minimum rate requirement of the source node will be ensured and the relay node taking part in the cooperation will gain some reward and the reward can be maximized by reinforcement learning(RL).

Spectrum allocation game of directional transmission in multi-hop cognitive radio networks

The spectrum allocation for links in multi-hop cognitive radio networks is addressed.The links rent the vacant licensed bands offered by primary users for implementing directional transmission.To minimize the individual cost,the links share the licensed band and rental fee.An interference model for the directional transmission in cognitive radio networks is proposed to formulate the cooperative and dynamic behavior of the links using the theory of hedonic game,called spectrum allocation game.The game is proved to converge to the core stable state indicating that all links satisfy with their current conditions and do not deviate from their coalitions.Numerical results show that the game improves spectral efficiency and contributes to reducing the individual cost of the links.

A Cloud-Assisted Malware Detection and Suppression Framework for Wireless Multimedia System in IoT Based on Dynamic Differential Game

As a novel dynamic network service infrastructure, Internet of Things （IoT） has gained remarkable popularity with obvious su- periorities in the interoperability and real-time communication. Despite of the convenience in collecting information to provide the decision basis for the users, the vulnerability of embed- ded sensor nodes in multimedia devices makes the malware propagation a growing serious problem, which would harm the security of devices and their users financially and physi- cally in wireless multimedia system （WMS）. Therefore, many researches related to the mal- ware propagation and suppression have been proposed to protect the topology and system security of wireless multimedia network. In these studies, the epidemic model is of great significance to the analysis of malware prop- agation. Considering the cloud and state tran- sition of sensor nodes, a cloud-assisted model for malware detection and the dynamic differ- ential game against malware propagation are proposed in this paper. Firstly, a SVM based malware detection model is constructed with the data sharing at the security platform in the cloud. Then the number of malware-infected nodes with physical infectivity to susceptible nodes is calculated precisely based on the at- tributes of WMS transmission. Then the statetransition among WMS the modified epidemic devices is defined by model. Furthermore, a dynamic differential game and target cost function are successively derived for the Nash equilibrium between malware and WMS sys- tem. On this basis, a saddle-point malware de- tection and suppression algorithm is presented depending on the modified epidemic model and the computation of optimal strategies. Nu- merical results and comparisons show that the proposed algorithm can increase the utility of WMS efficiently and effectively.

网吧:是否“另类”天堂

2002年6月16日凌晨2时40分左右,北京“蓝极速”网吧一把大火,夺去了25名年轻人的生命。当天上午,针对这场大火,北京市市长刘淇宣布,从现在起,北京市所有网吧都要停业整顿,甚至说今后北京将不鼓励发展网吧,有关部门对网吧也不再审批发证。6月19日,两名有纵火嫌疑、恶意报复的男孩(一个13岁、一个14岁)被警方抓获。6月28日,文化部、公安部、信息产业部、国家工商行政管理总局四部门宣布从7月1日至8月31日联合开展网吧等互联网上网服务营业场所专项治理行动。这次专项治理工作的重点是坚决取缔非法经营的网吧。“蓝极速”网吧大火不仅使网吧的管理工作重新得到重视,也让人们更加警惕和关注其给青少年带来的负面影响。在人们心头,始终有这样一个消不去的问号:网吧为什么会有那么大的吸引力?进入网吧的孩子们都在干些什么?

A NETWORK ANALYSIS OF THE 2010 FIFA WORLD CUP CHAMPION TEAM PLAY

This paper analyzes the network of passes among the players of the Spanish team during the last FIFA World Cup 2010,where they emerged as the champion,with the objective of explaining the results obtained from the behavior at the complex network level.The team is considered a network with players as nodes and passes as(directed) edges.A temporal analysis of the resulting passes network is also done,looking at the number of passes,length of the chain of passes,and to network measures such as player centrality and clustering coefficient.Results of the last three matches(the decisive ones) indicate that the clustering coefficient of the pass network remains high,indicating the elaborate style of the Spanish team.The effectiveness of the opposing team in negating the Spanish game is reflected in the change of several network measures over time,most importantly in drops of the clustering coefficient and passing length/speed,as well as in their being able in removing the most talented players from the central positions of the network.Spain's ability to restore their combinative game and move the focus of the game to offensive positions and talented players is shown to tilt the balance in favor of the Spanish team.

Evolution of Cooperation in Continuous Prisoner's Dilemma Games on Barabasi-Albert Networks with Degree-Dependent Guilt Mechanism

This paper studies the continuous prisoner's dilemma games (CPDG) on Barabasi-Albert (BA) networks.In the model,each agent on a vertex of the networks makes an investment and interacts with all of his neighboring agents.Making an investment is costly,but which benefits its neighboring agents,where benefit and cost depend on the level of investment made.The payoff of each agent is given by the sum of payoffs it receives in its interactions with all its neighbors.Not only payoff,individual's guilty emotion in the games has also been considered.The negative guilty emotion produced in comparing with its neighbors can reduce the utility of individuals directly.We assume that the reduction amount depends on the individual's degree and a baseline level parameter.The group's cooperative level is characterized by the average investment of the population.Each player makes his investment in the next step based on a convex combination of the investment of his best neighbors in the last step,his best history strategies in the latest steps which number is controlled by a memory length parameter,and a uniformly distributed random number.Simulation results show that this degree-dependent guilt mechanism can promote the evolution of cooperation dramatically comparing with degree-independent guilt or no guilt cases.Imitation,memory,uncertainty coefficients and network structure also play determinant roles in the cooperation level of the population.All our results may shed some new light on studying the evolution of cooperation based on network reciprocity mechanisms.

Evolutionary prisoner's dilemma game on complex networks with conformist mentality strategy

A prisoner's dilemma game model is studied using complex networks with a fixed strategy. The strategy of the player is updated according to not only the payoff differences between players and the neighbors, but also the majority of neighbors (noted as conformist mentality strategy). According to our results of the simulations we found that the players which select the conformist mentality strategy, the density of cooperators markedly improves. The variation trend is slower on the square lattice and small-world networks, but a different phenomenon is noted for scale-free networks. A range of conformist mentality probability is seen on BA networks which conforms to a higher density of cooperators.

壮志凌云，纵横天下

2008年11月4日下午两点整，历时数月的CHINAJOY金翎奖评选在北京市海淀剧院终于落下帷幕，兔友网直属游戏公会“2u凌云天下”不负众望，最终脱颖而出获得2008年度“网络游戏十大新锐公会”奖项。