Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model

In recent years, mobile devices and social network games (SNGs) have gained wide popularity among the mainstream users. The present study aims to investigate the psychological elements that may contribute to user behaviors regarding mobile-social network games (M-SNGs). This study introduces an integrated model for M-SNGs. Statistical results from an online survey of players of M-SNGs indicate that the proposed research model effectively demonstrates and examines player acceptance of and attitudes toward M-SNGs. This research model is valid, and illustrates not only perceived enjoyment and usefulness as determinant variables of intention to use among players, but also perceived mobility together with perceived control and skill as motivational factors for players. The results also describe that satisfaction has a moderate role, which in turn has significant effects on multiple connections in the research model. Both theoretical and practical implications are provided based on the findings.     

基于社会网络面向个性化需求的可信服务推荐

在当前服务计算和社会计算背景下,针对难以获取满足用户个性化需求的可信Web服务问题,给出基于社会网络面向个性化需求的可信Web服务推荐模型;设计用户个性化功能需求分解与匹配算法,并利用语义词典提高功能需求语义匹配的准确性;基于个性化功能需求、社会网络节点信任度及服务信任度,设计了一种满足用户个性化需求的可信服务推荐算法,通过对社会网络节点之间、节点与服务之间的信任相关性进行分析,提高服务协同可信推荐性能。算法分析及实验结果表明该方法是有效和可行的。     

用户对移动网络服务偏好学习技术综述

为了缓解日益严重的"移动信息过载问题",移动用户偏好学习已成为个性化服务领域的首要问题。对最近几年移动网络服务中用户偏好学习技术的研究进展进行综述,对移动用户偏好的表示方法、获取技术、自适应学习方法、评价方法等进行前沿概括、比较和分析。最后对移动网络服务中用户偏好学习技术的发展方向和趋势进行展望。     

基于GPRS网络特点设计移动实时在线业务心跳信号

本文针对目前覆盖最为广泛的GPRS无线网络,从其网络架构、信令流程等方面入手,对移动互联网中实时在线业务的心跳信号设计关键点进行了分析并给出了相应建议.     

Predicting the scale of information diffusion in social network services

Predicting the scale of information diffusion is an important task for many social network services (SNS) operators and enterprises. In this paper, the authors investigate the effects of two types of indicators, user attributes and social network attributes, and study on the accuracy of predicting the scale of information diffusion, and how to select an appropriate model that can fit real data better and have a higher accuracy. The experimental results show that both user attributes and social network structure attributes have significant effects on the scale of information diffusion. At the same time, three data mining models are constructed in this paper to predict the scale of information diffusion and compare their prediction accuracy. It is found that neural network model performs much better than decision tree and linear regression do.     

Influence diffusion model based on affinity of dynamic social network

Recently,influence maximization model is a hot issue in the field of social network influence,while the traditional independent cascade model is generally based on static network with a fixed value of activation probability.DDIC model,which was a dynamic network influence diffusion model with attenuation factor was proposed.It calculated the activation probability between nodes via affinity propagation,and according with dynamic segmentation of social network time slice,calculation of influence on proliferation of next time slice with the current time slice of activation probability performance decay.The experimental results show that the nodes in the DDIC model have more chances to active the neighbor and the average probability of activing of the DDIC model is higher.Further experiments show that influence value via computing with affinity propagation can reflect the process of the spread model more accurately.     

Contact duration aware evaluation for content dissemination delay in mobile social network

Groups of people with mobile phones using short‐range connections such as WiFi and Bluetooth to propagate messages can be modeled as, with regard to regular absence of end‐to‐end connection, mobile social networks (MSNs), which can be exploited to offload a significant amount of mobile content from the overloaded infrastructure networks such as 3G. The study of content transmission delay for the applications of mobile content dissemination in MSNs is an important problem, because to enhance the network capacity, the traffic is offloaded at the cost of inducing longer delay. In contrast to existing works, which ignore the factors of contact duration limits and large content size, we present a contact duration aware framework to model the content dissemination process in MSNs, give an explicit expression for the average content dissemination delay, and reveals its relationship with various system parameters of content size, users’ selfishness, number of involved subscribers, infecting ratio, and so on. We apply our proposed model to real‐life traces to assess its reliability by comparing the theoretical results with measured statistics and present extensive upshots to evaluate the influence of various parameters on system performance. The results demonstrate the accuracy of our proposed framework and reveal that system parameters of content size, system infecting ratio and intragroup transmission are the most important factors to influence the content dissemination delay. Copyright © 2013 John Wiley & Sons, Ltd.     

Understanding emotions experienced when using a mobile phone in public: The social usability of mobile (cellular) telephones

The widespread and continued growth of mobile telephony within society means that protocols regarding acceptable public use are being continually redefined. In order to understand the different needs and motivations of mobile phone users and to assist with the development of effective policy, it is important first to consider the phone-related behaviours with which people are comfortable and those with which they become annoyed. A survey of 184 young adults was undertaken to explore the relationships between their comfort making and receiving mobile phone calls in different social contexts, their affective responses to public mobile phone use by others, and how such factors relate to key personal attributes and specific beliefs regarding calling behaviour. Mobile phone users differed in the extent to which they felt comfortable making and receiving calls in different social contexts and were less annoyed by others using mobile phones in locations where they themselves felt most comfortable making calls. Three important influences which predicted behavioural measures of phone use were found to be views regarding the application of public restrictions, desire to remain personally contactable and ‘social usability’ or anxiety regarding phone use in the presence of others. User personality and individual attributes such as age and gender were also found to be differentially associated with some aspects of phone-related behaviours.     

Factors influencing users’ employment of mobile map services

This study introduces an integrated research model to examine user acceptance of mobile map services, hypothesizing potential causal connections between key cognitive factors and users’ intention to use the services. This study determined potential variables that may be significantly related to perceived usefulness of mobile map services through in-depth interviews with two groups: a user and an expert group. Collected data of 1109 users who took part in the internet survey were analyzed using structural equation modeling. The results indicate that satisfaction with and perceived usefulness of the mobile map services were the most significant antecedents of users’ attitude toward the services and behavioral intention to use them. Users’ attitude and flow state also affected their intention to use the services, while perceived locational accuracy, service, and display quality had notable effects on attitude. This study demonstrates the significant effects of these and other examined factors, and the findings reveal that flow played a multiple moderating roles significantly affecting various connections in the integrated research model. Both theoretical and practical implications are discussed.     

Social acceptance of location-based mobile government services for emergency management

Location-based services deployed by governments can be used to assist people manage emergencies via their mobile handsets. Research delineating the acceptance of public services in the domain of emergency management has been scantly investigated in information systems. The main aim of this study is to assess the viability of location-based mobile emergency services by: (i) exploring the issues related to location-based services and their nationwide utilisation for emergency management; (ii) investigating the attitudinal and behavioural implications of the services; and (iii) examining the social acceptance or rejection of the services and identify the determinants of this acceptance or rejection. The results reveal that both attitude and perceived usefulness demonstrate a good prediction power of behavioural intention. Although perceived ease of use was found not to be a predictor of attitude, the results affirm its influence on perceived usefulness. The results also demonstrate the role of trust as the most influential determinant of individual perception of the usefulness of the services. Further, the results indicate that only the collection of personal location information, as a perceived privacy concern, had a significant negative impact on trust. Implications and future research are also discussed.     

Barriers and drivers in the adoption of current and future mobile services in Finland

Finland has long been seen as the most successful country in Europe in terms of the adoption and use of advanced mobile services. In this paper we discuss the importance of understanding the role of (physical, cognitive, security and economic) barriers and benefits (perceived entertainment value and perceived flexibility) of mobile services as well as the role that functional differences of mobile service bundles play in the process of actual and future use of these bundles. Based on a survey we test six models for mobile travel service bundle, GPRS bundle, mobile surveillance bundle, traditional and more advanced entertainment bundles and m-commerce service bundles. Our analysis shows that understanding the actual and future use is only possible when the subtleties of the specific bundles, i.e. the characteristics of the involved services, are taken into account. Differences in technology or service attributes based on technology cannot be treated as neutral.     

Consumer behaviour in the mobile telecommunications’ market: The individual’s adoption decision of innovative services

Research in the adoption of innovative services in mobile communications markets has not offered a comprehensive explanation of how the individual makes a choice. This article proposes a theoretical framework for the analysis of the adoption decision of innovative mobile services such as mobile TV. The decision to adopt the service can be viewed as a choice based on two cognitive processes of reasoning and referencing, as postulated in behavioural decision making. The framework has both theoretical and practical value. From a theoretical perspective, it illustrates the manner in which referencing and reasoning influence the individual’s decision to adopt innovative services in the mobile telecommunications market. From a practical perspective the framework offers a market analysis tool which can generate useful insights for the vendors.     

Location privacy preservation approach towards to content sharing on mobile online social network

A privacy access control model for content sharing was presented to fine-grained control users' location infor-mation associated with sharing content in mobile social network. A k-anonymity privacy algorithm for privacy settings was given to protect against inference attack on a content sharing service provider server. To balance the privacy and quality of service, a location shifting method was presented. Finally experimental results demonstrate the validity and practicality of the proposed approach.     

Data forwarding incentive mechanism based on auction model in mobile social network

Abstract:A data forwarding incentive mechanism based on auction model in mobile social network was proposed.In this incentive mechanism,the first-price sealed auction mode was extended,the transaction mode of virtual currency payment was adopted,and the procedure of data forwarding between nodes was abstracted into the auction transaction model.Based on the node's resource state,the virtual currency and the data property,the evaluation function of data forwarding transaction was given,and then the node gives the corresponding price according to the evaluation function and game strategy.Through the game analysis,the Nash equilibrium solution of AMIM was found,and the lowest bidder,of which the bid price was lower than the evaluation of data forwarding request node would been selected as the service provider for this data forwarding.In this incentive mechanism,the rational mobile nodes were enforced to voluntarily participate in data forwarding cooperation to maximize their own interests.The simulation experiment shows that AMIM mechanism can effectively reduce the energy consumption and improve the success rate and efficiency of data forwarding in the whole network system.     

无线网络中移动IP切换方法的探讨

介绍了一种与无线网络相结合的一种解决移动节点切换中预先注册的方法,并说明了这种方法的缺陷和局限性.     

Optimal energy efficiency routing strategy based on community in mobile social network

An optimal energy efficiency routing strategy based on community was proposed,which minimized the network energy consumption under the given delay constraint.Firstly the expected energy consumption and delay of message delivery in the connected network were obtained through Markov chain.Then the comprehensive cost function for delivering message from source node to destination node was designed,which was combined with energy consumption and delay.Thus,the optimization function to comprehensive cost of relay node delivering message was obtained,and further the reward function of relay node was gotten.Finally the optimal expected reward of optimal relay node was achieved using the optimal stopping theory,so as to realize the optimal energy efficiency routing strategy.In simulations,the average energy consumption,the average delay and the average delivery ratio of routing optimization strategy were compared with those of other routing strategies in related literatures.The results show that the strategy proposed has smaller average energy consumption,shorter average delay and higher average delivery ratio,gaining better energy consumption optimization effect.     

DXX设备在北京移动传输网中的应用

利用ＤＸＸ系列传输设备对北京移动通信的基站传输网进行了改进,包括：设备组成、网络结构、网管系统结构和功能以及同步时钟方案等。     

The effects of cultural dimension on ICT innovation: Empirical analysis of mobile phone services

ICT Innovation is one of the major forces for socioeconomic development. It is the key element to spur growth of the economy of a nation. Several studies have shown that culture is a crucial determinant of innovations. This study examines the effect of socio-cultural factors on ICT innovation with specific focus on the mobile banking services. Research was conducted on 220 respondents from sampled population in South Africa. The questionnaire used in this study was developed based on previous studies that have proven validity. The findings indicate that culture is an appropriate concept to describe how innovation in information and communication technology can be influenced by human behavior.     

Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm

The multi mobile agent collaboration planning model was constructed based on the mobile agent load balancing and total network energy consumption index.In order to prolong the network lifetime,the network node dormancy mechanism based on WSN network coverage was put forward,using fewer worked nodes to meet the requirements of network coverage.According to the multi mobile agent collaborative planning technical features,the multi-objective discrete social spider optimization algorithm (MDSSO) with Pareto optimal solutions was designed.The interpolation learning and exchange variations particle updating strategy was redefined,and the optimal set size was adjusted dynamically,which helps to improve the accuracy of MDSSO.Simulation results show that the proposed algorithm can quickly give the WSN multi mobile agent path planning scheme,and compared with other schemes,the network total energy consumption has reduced by 15%,and the network lifetime has increased by 23%.