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We propose an information-based view of the dynamics of network positions and use it to explain why bridging positions become stronger. We depart from previous network dynamics studies that implicitly assume that firms have homogenous information about the network structure. Using network experiments with both students and managers, we vary a firm's network horizon (i.e., how much information a firm has about the network structure) and the network horizon heterogeneity (i.e., how this information is distributed among the firms within the network). Our results indicate that firms with a higher network horizon occupy a stronger bridging position, especially under conditions of high network horizon heterogeneity. At a more general level, these results provide an indirect validation of what so far has been an untested assumption in interfirm network research, namely that firms are aware of their position in the overall network and consciously attempt to improve their position.

A cross-domain intelligent software-defined network (SDN) routing method based on a proposed multiagent deep reinforcement learning (MDRL) method is developed.

First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between the root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to acquire global network state information in real time. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a network traffic state prediction mechanism is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time.

Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and open shortest path first (OSPF) routing methods.

Message transmission and message synchronization for multicontroller interdomain routing in SDN have long adaptation times and slow convergence speeds, coupled with the shortcomings of traditional interdomain routing methods, such as cumbersome configuration and inflexible acquisition of network state information. These drawbacks make it difficult to obtain global state information about the network, and the optimal routing decision cannot be made in real time, affecting network performance. This paper proposes a cross-domain intelligent SDN routing method based on a proposed MDRL method. First, the network is divided into multiple subdomains managed by multiple local controllers, and the state information of each subdomain is flexibly obtained by the designed SDN multithreaded network measurement mechanism. Then, a cooperative communication module is designed to realize message transmission and message synchronization between root and local controllers, and socket technology is used to ensure the reliability and stability of message transmission between multiple controllers to realize the real-time acquisition of global network state information. Finally, after the optimal intradomain and interdomain routing paths are adaptively generated by the agents in the root and local controllers, a prediction mechanism for the network traffic state is designed to improve awareness of the cross-domain intelligent routing method and enable the generation of the optimal routing paths in the global network in real time. Experimental results show that the proposed cross-domain intelligent routing method can significantly improve the network throughput and reduce the network delay and packet loss rate compared to those of the Dijkstra and OSPF routing methods.

Purpose – I suggest that we conceptualize labor markets as observable social networks, in which workplaces are the nodes and people moving between workplaces are the edges. The movement of people delivers the actionable information as to what the supply, demand, and going wage for labor might be. Labor market networks are hypothesized to be quite thin thus leading to substantial wage setting autonomy within workplaces, consistent with contemporary observations in both economics and sociology as to the weakness of labor market signals.Method – This paper reviews theoretical and empirical work in economics, sociology, and network science and develops a network image of labor market structure and function. Hypotheses derived from economic, sociological, and network theories are proposed to explain workplace-level wage setting.Findings – Information flow, trust in information, information variance, collusion, and status beliefs are all proposed as important network properties of labor markets. The paper outlines an observational strategy to make labor markets scientifically observable.Originality – Economists and sociologists often refer to labor markets as mechanisms setting the price of labor but rarely observe them. This paper outlines a strategy for making the invisible hand of the market scientifically observable.

Analyses the evolution of China’s telephone and cable systems, in terms of the public interest, discussing current bureaucratic conflicts and policy debates over convergence, and construction of an independent broadband cable network. Looks in depth at China’s problems and the different problems for its citizens with regard to poverty levels and access to the Web.

Current networks are providing plenty of services that users can access and use. These services are more and more pervasive and deployed in different networks distributed across an environment. This raises the problem of managing such environments in order to grant access to services from anywhere and to adapt the environment’s networks to dynamic changes. Also, there is a need of an autonomous behavior to reduce human intervention and assure environment’s consistency. This autonomous and distributed behavior leads to the definition and integration of existing and new technologies to enable autonomous distributed management. This is fulfilled by providing paradigms that bring awareness about the surroundings and enabled tools to manage and adapt the environment’s resources. The main problem is to dynamically provide auto‐configuration of networks to deal with the frequent changes which results from users’ roaming, changing services constraints, and changing services themselves, and adding, upgrading or removing policies. The outcome of these issues is a dynamic system with complex management. Hence, this paper proposes the integration of different techniques to provide an autonomous, distributed, and secure management including auto‐configuration, adaptation, and auto‐protection of pervasive environments. Then, policies control the behavior of the environment, devices configuration and the enforcement of security mechanisms to protect sensitive data. Also, mobile agents are employed to distribute management tasks across the distributed environment. In order to provide auto‐protection capabilities, the autonomous behavior of the environment have to be secured. Actually, this security issue is addressed by defining an agent‐based Public Key Infrastructure (PKI) with X.509 certificates. The agent ensures then that the security functions are applied across all the distributed networks, where specific agents are responsible for conveying necessary information and certificates to local environments. Finally, the paper proposes a semantic‐based privacy management approach using ontologies to decide how privacy information is handled in the environment.

This paper aims to explore the connectivity between social media use, access to migrant networks, information asymmetry and migration intentions.

The study was conducted using data from individuals living in Nigeria and analysed with a generalized structural equation model, which is rare for this kind of research.

The authors find a dual mediating role of the social media and the migrant networks in facilitating migration, i.e. reducing the threshold cost required to migrate and introducing a bias in terms of information asymmetry. While social media and access to migrant networks directly increase migration intentions, this changes when incomplete information is provided. People who use social media and their migrant networks for information are more likely to have information about destination countries than information on the transit risk.

The study adds valuable insights for designing awareness campaigns aimed at reducing irregular migration.

This study contributes to the understanding of the intersection of migration and digitalization

Based on the social capital theory, the authors assume that personal and professional experts are both relevant to people's competence development. However, to date, there is little empirical evidence of how professional experts can support, or impede, people in learning how to deal with social media. The purpose of this paper is to examine the role and position of social media experts in the distribution of information on social media within the library as organization.

The paper draws upon social network and qualitative methods, within three public libraries located in Belgium.

The findings suggest that as the most central actors, social media experts in a library play a significant role in either supporting or constraining the distribution of information on social media.

While the sample size was chosen to conduct a mixed methods study that would explore how the position of a social media expert in an organization such as the library facilitates or prevents the exchange of social media information, the authors acknowledge the need for large-scale empirical studies that can substantiate the findings in larger and more diverse samples.

This unique study explores how the role and position social media experts in Belgian public libraries can support, or impede, librarians in learning how to deal with social media. This study is useful for other public libraries who want to implement social media, establish a social media policy and/or provide social media training.

This study aims to evaluates the existing and potential facilities in Iranian Islamic Sciences Centers (ISCs), including information resources, budget, human resources and facilities. It identifies the views of Center managers in order to find grounds for cooperation and collaboration and to develop communication and information exchanges between the Centers.

The population of this research includes all 123 ISCs in Iran. Questionnaires were distributed in a three‐month interval (August to October, 2008). The data were analyzed using SPSS software (Version 16).

The findings show that ISCs support the establishment of a network and would join it; however, lack of professionals in the informatics and network development, lack of in‐service training facilities, lack of financial and facilities, lack of access to the resources of other centers and the absence of fast exchange of information are among the problems that need much attention.

To establish the network, three issues should be considered, i.e. human resources, budget, and facilities of the centers.

The paper can serve as a driver to improve the efficiency in ISCs through establishing an information network to serve them.

Technological innovations provide huge opportunities to expand and revolutionize the scope of products and services offered. This is particularly true for tourism, which is undergoing significant changes due to the development of new technologies. The level of technology diffusion depends on several factors like the exchange of information among peers, and the attitude and shared perception among the contributors. The aim of the study is to explore the diffusion of technology in tourism with a specific focus on the social media discourse around new technologies. Thus, the paper investigates the level of interest in these new technologies analysing the information exchange occurring between individuals on Twitter in order to explore the influence of reciprocal networking.

To capture the attitudes expressed in the industry, the study analyses the ongoing discourse on Twitter as a proxy for the participants “interest in new technologies. Through a social network analysis of the tweets and retweets conducted over a period of nine months, the research maps the level of information exchange about the diffusion of new technologies. Moreover, the sentiment analysis provides an interesting overview of the individuals” attitudes towards the awareness or the adoption of new technologies.

Our analysis has provided several insights: (1) the information network on blockchain in tourism consists of participants who change very quickly over time (high turnover of accounts); (2) some contributors have an extremely important role in influencing the flow of information in the system (information centralization), they can have a generalist (discussing several topics) or a specialist (focusing on a specific topic) behaviour and this strategic choice influences their network's structure; (3) these central nodes also have an impact on the definition of positive and negative sentiment towards a topic (sentiment influencer).

The paper contributes to the literature on technology diffusion, by focusing on one of the preconditions of diffusion that is the shared positive attitude towards technological innovation. More specifically, we adopt a network-based approach, which is useful to explain the level of information exchange and the public discourse that can impact the shared perception and attitude towards technological innovation. The study also highlights the role of knowledge brokers in influencing this public discourse. Future studies can deepen the association between positive perception, higher levels of information exchange and increasing usage of specific technologies. Our results also suggest further exploring the opportunity to combine social media data and other sources of information to shed more light on the technological innovation diffusion processes.

This paper shows how practitioners can benefit from the analysis of information exchange about new technologies in tourism adopting a network perspective with the aim of understanding the level of influence among contributors. Moreover, the increasing interest in blockchain technology and the potential combination between social media data and other sources of information can offer promising insights.

The present study explores the level of technology diffusion through the analysis of information exchange on social media (Twitter). Furthermore, the dynamics of individual user behaviour offers a better understanding about media effects.

While previous research is focused on the users' perception towards the development of new technologies in tourism, the aim of this study is to investigate the dynamics behind the level of diffusion of information and awareness about these new technologies, which still represents an unexplored area of research.

The Internet computer network is not yet an intuitive or an easily understood environment in which to work. Therefore, new network users in higher education need basic instruction on what the Internet offers and how it can be utilized. Basic training can include an overview of the major academic networks, how to use the networks, how to discover networked information resources, and where to get more information. A conceptual framework of the various operating systems and programs that they will need to connect to a networked information resource may help users understand which command is appropriate and when it is appropriate. Academic librarians are uniquely qualified to offer this instruction because networked information resources are merely another “format” of information and because librarians are skilled at presenting complex information in a straightforward manner.