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Web sites are typically designed attending to a variety of criteria. However, web site structure determines browsing behavior and way‐finding results. The aim of this study is to identify the main profiles of web sites' organizational structure by modeling them as graphs and considering several social network analysis features.

A case study based on 80 institutional Spanish universities' web sites has been used for this purpose. For each root domain, two different networks have been considered: the first is the domain network, and the second is the page network. In both cases, several indicators related to social network analysis have been evaluated to characterize the web site structure. Factor analysis provides the statistical methodology to adequately extract the main web site profiles in terms of their internal structure.

This paper allows the categorization of web site design styles and provides general guidelines to assist designers to better identify areas for creating and improving institutional web sites. The findings of this study offer practical implications to web site designers for creating and maintaining an effective web presence, and for improving usability.

The research is limited to 80 institutional Spanish universities' web sites. Other institutional university web sites from different countries can be analyzed, and the conclusions could be compared or enlarged.

This paper highlights the importance of the internal web sites structure, and their implications on usability and way‐finding results. As a difference to previous research, the paper is focused on the comparison of internal structure of institutional web sites, rather than analyzing the web as a whole or the interrelations among web sites.

The Internet has evolved, prompted in part by new Web 2.0 technologies, to become a more widespread platform for interaction, communication, and activism. Virtual communities, or groups of people informally bound together by shared expertise, synthesise this Internet evolution and the Web 2.0 technology. Users increasingly want to engage online with one another and with organisations of all kinds. These novel Internet‐based technologies dominate the new business models of the digital economy giving companies radical new ways to harvest the talents of innovators working outside corporate boundaries. One of the most illustrative examples of this new trend is the Open Source Software (OSS) projects development. This paper aims to analyse the structure and topology of the virtual community supporting one of the most successfully OSS projects, Linux. The objective is to provide conclusions for being successful in the development of future virtual communities. As companies learn to manage these virtual communities, they will develop smarter and faster ways to create value through them.

The interactions of the virtual community members of an ARM‐embedded Linux project website is analysed through social network analysis techniques. The participants' activity is studied and some conclusions about the participation features are obtained using the Gini coefficient. In particular, a participation inequality behaviour or a concentration on a small number of developers is clearly observed.

The paper deals with the guidelines that virtual communities should follow to be successful. Results about the structure of a successful virtual community and its time evolution are provided to determine the mentioned guidelines.

The research is limited to a particular virtual community engaged with the development of the ARM‐embedded Linux OSS. Other successful virtual communities can be analysed, and the conclusions could be compared. Anyway, the proposed analysis methodology can be extended to other virtual communities.

The paper fulfils the development and features of Internet virtual communities to be successful. Results have important implications over the development of new software business models based on virtual communities and open source software. Contributions about the best organisation of virtual communities leading to a successful development of the underlying project are presented.

Purpose: Provide insights on how social entrepreneurship (SE) knowledge can be more effectively generated by universities through the entrepreneurial creation and effective management of a knowledge network centered on international collaborative research; illuminate how one such network has enabled Latin American researchers to advance the knowledge and practice frontiers in the hemisphere and globally. Methodology/Approach: Retrospective analysis of the two-decade evolution of the Social Enterprise Knowledge Network, a pioneering international research collaboration (IRC) of Ibero-American management schools. Findings: Documents factors and dynamics enabling the successful creation and operation of international knowledge networks. Analyzes the key mechanisms for capturing synergies in collaborative research. Identifies specific effectiveness determinants for successfully operating an international social enterprise knowledge generation network. Identifies multiple impacts of a knowledge generation network. Research Implications: Advances understanding of IRCs. Provides a model for assessing knowledge network multiple impacts. Identifies a series of future research opportunities and needs. Practical Implications: Provides operational guidance for researchers developing or operating collaborative international knowledge networks. Social Implications: Reveals the value of collaboration in international research and factors that contribute to effective collaboration. Originality/Value: Provides unique retrospective study of an IRC network operated by developing country schools of management. Expands the scope of recent comparative research on SE education to include a set of countries in Ibero-America. Documents an approach to assessing the impacts of a knowledge network. Identifies important areas for advancing future social enterprise research and teaching.

The purpose of this paper is to present a remote lab and a web‐based teaching environment which provides access for remote control of Digital Signal Processors (DSP device) and real instrumentation. The framework, named eDSPLab, has been designed using LabVIEW for debugging and testing Digital Signal Processing (DSP) experiments in a real lab without physical and temporal restrictions, and it has been integrated as a service in a modern e‐learning application domain and a Learning Management System (LMS) to reinforce its utility.

A literature review is presented to provide background to the progressive role that DSP and DSP devices play in Information and Communications Technology (ICT)‐demanded job profiles, and the role that a computer‐mediated environment plays in modern teaching methodologies. The web service access control architecture is defined.

The paper provides new insights into the use of the Internet for laboratory teaching.

This research was limited to one particular remote lab. Results could be extended if students' perceptions and their acceptance of the new e‐learning technology are examined using an information system theory, such as the Technology Acceptance Model (TAM).

This paper fulfils a need for adapting the teaching methodology applied in an undergraduate Advanced Microprocessor course of the Telecommunication Engineering degree at the University of Seville, Spain, allowing the development of laboratory experiments anywhere and anytime, avoiding one of the problems in lab training: the low number of laboratory working places in relation to the high number of enrolled students. The system developed has been successfully used during the last academic years in a course involving more than 200 students.

Intelligent transportation systems (ITS) are defined as new infrastructures that combine people, roads and vehicles over the basis of modern embedded systems with enhanced digital connectivity. ITS is fast becoming a reality, favored in their development by the use of the internet. The purpose of this paper is to analyze the feasibility of road‐traffic management systems, using the internet as the communication link.

A literature review is presented to give a background in the progressive role that ITS and road safety and control applications play in society. The combination of internet and the ITS architecture is covered, and an electronic prototype providing web services for road‐traffic management is designed as an example. The scope of road traffic security research is extensive, and the use of artificial vision systems in road‐traffic analysis (technology which is on the basis of the developed prototype) is also discussed. The hardware and software characteristics of the prototype are defined.

The paper provides new insights into the use of the internet for road‐traffic management applications.

The research is limited to one particular road‐traffic management system. Results could be extended if more real equipments were analyzed. Also, end‐users' perception and their acceptance of the new technology could be examined using an information system theory like the technology acceptance model.

The paper shows the utility of the internet in the development of novel ITS.

A large variety of online communities have emerged during the last years as a result of the challenges faced by both the business and scientific worlds. This trend has also been promoted by the development of internet and new Web 2.0 technologies. In this context, this paper is focused on the determinants of success of online communities. But, as a difference from other studies, these determinants are analyzed from the social network analysis perspective. Several constructs related to the community organization as a social network are proposed and their interrelations are hypothesized in a general research framework. The obtained results test the proposed model providing the most relevant antecedents of the project success.

A case study based on Linux ports to non‐conventional processor and environments is used to test the proposed model. Structural equation modeling analysis is used to validate the structural proposed model.

The main antecedents of online communities' success, quantifying the strength of the relation through the standardized path coefficients.

The research is limited to a particular set of online communities engaged with the development of the non‐conventional Linux ports. However, they constitute a representative set of communities in the field of the open source projects (OSS) development, which are typically developed using a community of support.

This paper fulfils the main antecedents causing the successful development of Internet virtual communities. Instead of using sources of data coming from users' surveys, this study employs community interactions as a source of data. Results have important implications over the development of online communities, like software business models based on virtual communities and open source software.

During recent decades, research institutions have increased collaboration with other institutions since it is recognized as a good practice that improves their performance. However, they do not usually consider external collaborations as a strategic issue despite their benefits. The purpose of this paper consists of identifying different patterns of collaboration and internationalization of universities, with the aim of helping managers and policy makers to take decisions related to their national research policies.

Co‐authorship analysis has been used in conjunction with social network analysis to model inter‐institutional collaborations as networks, extracting these collaborations from the Web of Science database. Using several structural properties of the extracted networks and applying a statistical treatment, the main profiles of collaborations and internationalization have been obtained.

Obtained results distinguish three patterns of collaborations according to the intensity and scope of collaborations. The statistical treatment also provides a segmentation of universities according to their collaboration profiles. Finally, universities are represented in bi‐dimensional maps using external collaborations as a measure of similarity.

Although this study is restricted to English universities, it could probably be extended at least to other countries in the European Union or even other developed countries.

Research and institutions productivity are usually linked to the amount of received funding. The use of indicators related to internationalization of institutions can help to avoid a bias in favour of research quantity rather than quality, and towards a short‐term performance rather than a long‐term research capacity.

As a difference to previous works, this paper analyses networks of collaboration from the viewpoint of institutions. More specifically, the combination of social network analysis and factor analysis is used to identify patterns of collaboration among institutions. A longitudinal study is also included to demonstrate that the obtained categorization of universities is maintained over time.

The purpose of this study is to examine the determinants of online community user participation from a social influence perspective.

Based on 450 valid responses collected from a survey questionnaire, structural equation modeling (SEM) technology was employed to examine the research model.

The results show that both social identity and group norm have significant effects on user participation. In addition, group norm affects social identity. It was not possible to find the effect of subjective norm on participation intention.

This research is limited to a particular sample: students. Thus the results need to be generalized to other samples, such as working professionals.

Extant research has mainly focused on the effects of user motivations such as perceived usefulness, trust and commitment on online community user behavior, and seldom considered the effects of social processes including compliance, identification and internalization on user behavior. This research tries to fill the gap.

Building upon studies of social psychology and information system literature, this study aims to propose and empirically test a research model that incorporates interpersonal motives (sociability and status) and hedonic motive (perceived enjoyment), and the three processes of social influence: compliance, identification and internalisation, to explain one's intention to use social network (SN) web sites.

The data were obtained from an online survey of 274 SN web site users. Structural equation modelling analysis was used to validate the proposed model.

The results indicate that social influence affects intention directly through the compliance process. Social influence, when exerted through the identification and internalization processes, affects intention indirectly via the two interpersonal motives (sociability and status) and perceived enjoyment. The two interpersonal motives affect intention indirectly via perceived enjoyment.

This study advances theory by examining how the social influence processes affect one's behavioural intention via the interpersonal and hedonic motives.

These findings help online SNs to devise strategies to attract and retain users.

This study provides evidence that social influence processes are also operative in one's adoption of information technology in non‐work settings. It also shows that people have two interpersonal motives in mind when they develop an online relationship with others.

The purpose of this paper is to establish a social-network sp.orts lottery system to support users in predicting and simulating sports lottery betting. The community data were generated to support user decision and featured instant game records and odds data synchronisation. Furthermore, the next development cycle were evaluated through a questionnaire.

An extended prototype website development methodology was applied to develop the system. An online sample was collected to evaluate the function, interface, operation, and prediction designs. The χ2 test and variance analysis were used to determine the association between facets and basic demographics. Finally, the regression model was used to identify the potentially essential predictors that influence the measurement facets.

The high frequency of Facebook users, sports lottery purchases, and sports game viewers prefer the ability to predict the results of future sports games as advanced decision-making functions. However, the agent-based virtual gift presentation function was the least preferred function.

The study sample was limited only to users: who used PTT and Facebook; were of uneven age, education, and gender; and none segment groups. The study sample primarily comprised Taiwanese respondents. These differences might influence the practicality and prediction bias of the designed website and related models.

The proposed method integrates social-network messages with real-time data access by using APIs, crawler schemes, and prediction mechanisms that enable developers to devise strategies for obtaining high system satisfaction. The system can be improved by adding the results of future sports games and excluding authorised Facebook message posts.

A social-network-based sports lottery and prediction prototyping website was evaluated through a user-preference survey regarding design functions. The measurement results indicated that users share their opinions, predictions, and personal betting results and interact with their friends.