Search results

Security is the major issue that motivates multiple scholars to discover security solutions apart from the advantages of wireless sensor networks (WSN) such as strong compatibility, flexible communication and low cost. However, there exist a few challenges, such as the complexity of choosing the expected cluster, communication overhead, routing selection and the energy level that affects the entire communication. The ultimate aim of the research is to secure data communication in WSN using prairie indica optimization.

Initially, the network simulator sets up clusters of sensor nodes. The simulator then selects the Cluster Head and optimizes routing using an advanced Prairie Indica Optimization algorithm to find the most efficient communication paths. Sensor nodes collect data, which is securely transmitted to the base station. By applying prairie indica optimization to WSNs, optimize key aspects of data communication, including secure routing and encryption, to protect sensitive information from potential threats.

The Prairie Indica Optimization, as proposed, achieves impressive results for networks comprising 50 nodes, with delay, energy and throughput values of 77.39 ms, 21.68 J and 22.59 bps. In the case of 100-node networks, the achieved values are 80.95 ms, 27.74 J and 22.03 bps, significantly surpassing the performance of current techniques. These outcomes underscore the substantial improvements brought about by the Prairie Indica Optimization in enhancing WSN data communication.

In this research, the Prairie Indica Optimization is designed to enhance the security of data communication within WSN.

Innovation competence has become an essential requirement for technology-based organizations to survive in the new economy. Commitment to long-term objectives and learning are considered as indispensable for building innovation competence. Communication networks play a crucial role in both these aspects. In this context management faces the question of how the characteristics as well as the contents of communication present in the network will influence the innovation competence. In this paper a literature study is done to present an understanding of the relationships between communication networks and innovation competence. The paper proposes that the characteristics of communication (frequency, diversity, and centrality) along with the content of communication (shared vision, shared task knowledge, and shared social knowledge) significantly affect the elements necessary to build technological innovation.

This paper aims to explore changes in communication networks during organizational crisis. In the literature, various terms such as organizational mortality, organizational death, bankruptcy, decline, retrenchment and failure have been used to characterize different forms and facets of organizational crisis. Communication network studies have typically focussed on nodes (e.g. individuals or organizations), relationships between those nodes and subsequent affects of these relationships upon the network as a whole. Email networks in contemporary organizations are fairly representative of the underlying communication networks.

The changing communication network structure at Enron Corporation during the crisis period (2000-2001) has been analyzed. The goal is to understand how communication patterns and structures are affected by organizational crisis. Drawing on communication network crisis and group behaviour theory, three propositions are tested: communication network becomes increasingly transitive as organizations experience crisis; communication network becomes less hierarchical as organizations are going through crisis; and communication network becomes more reciprocal as organizations are going through crisis.

In this research analysis, the support of these three propositions was noticed. The results of tests and their implications are discussed in this paper.

This study builds on an emerging stream of research area that applies social network analysis to organizational interaction data to study various questions related to organizational change and disintegration. These findings could help managers in designing an effective approach to monitor regular functionalities of their organizations.

The purpose of this paper is to investigate how source, network, relationship, and message/content factors affect how consumers respond to a word‐of‐mouth (WOM) communication in an online social network.

Hypotheses were addressed using two online surveys. The first of these examined persuasive WOM communications on Facebook, the second investigated WOM communication on Twitter.

It was found that closeness to the source of a persuasive communication may have less of an impact on message acceptance in online social networks compared to traditional WOM. The number of persons in a product network, as well as whether those members of a product network are also members of one's friend network, are important factors that determine message acceptance.

The paper demonstrates differences between online versus traditional WOM, and has important implications for marketing practitioners.

The purpose of this article is to contribute to our stock of knowledge about who uses networks, how they are used, and what contribution the networks make to advancing the scientific enterprise. Between 1985 and 1990, the Survey of Income and Program Participation (SIPP) ACCESS data facility at the University of Wisconsin‐Madison provided social scientists in the United States and elsewhere with access through the electronic networks to complex and dynamic statistical data; the 1984 SIPP is a longitudinal panel survey designed to examine economic well‐being in the United States. This article describes the conceptual framework and design of SIPP ACCESS; examines how network users communicated with the SIPP ACCESS project staff about the SIPP data; and evaluates one outcome derived from the communications, the improvement of the quality of the SIPP data. The direct and indirect benefits to social scientists of electronic networks are discussed. The author concludes with a series of policy recommendations that link the assessment of our inadequate knowledge base for evaluating how electronic networks advance the scientific enterprise and the SIPP ACCESS research network experience to the policy initiatives of the High Performance Computing Act of 1991 (P.L. 102–194) and the related extensive recommendations embodied in Grand Challenges 1993 High Performance Computing and Communications (The FY 1993 U.S. Research and Development Program).

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

As new computer communication systems, such as distributed computer networks or mobile data networks, grow in scale and complexity, the problem of being able to understand and to predict system behaviour becomes increasingly important. To their behaviour analysis we can use both analytical and simulation methods. Principally the application of analytical queuing theory results belongs to the preferred method in comparison to the simulation method. In this sense the article describes the development, realisation and verification of the new analytical model for the study of the basic parameters (end‐to‐end delay, performance etc.) of distributed data networks (computer networks, mobile data networks). The suggested model considers for every node of the data network one part for its own node's activities (communication functions) and another one for the modelling of each node channel for data transmission. When using a multiprocessor system, as the modern node communication processor, the model for its own node activities is the more realistic M/D/r system (Poisson arrival process/Deterministic service time distribution/r server system) and for the every node transmission channel the M/M/1 system (Exponential service time, Single server system). The new developed analytical model includes the influence of the communication functions to the whole delay in each node of a computer communication network. The achieved results of the developed model are compared with the results of the commonly used analytical and simulation models to estimate the magnitude of improvement. Likewise the developed analytical model was tested under various ranges of parameters, which influence the architecture of the distributed data networks and which are important for practical use.

This paper aims to investigate the extent to which social networking tools had an impact on academics’ patterns of informal scholarly communication in humanities and social science disciplines. Social networking tools, reinforced by proliferation and advances in portable computing and wireless technologies, have reshaped how information is produced, communicated and consumed.

A cross-institutional quantitative study utilized an online questionnaire survey sent to 382 academics affiliated with humanities and social science disciplines in two different academic institutions: one that belongs to a Western tradition of scholarly communication in Ireland, and the other to a developing country in Oman. Descriptive interpretation of data compared findings from both universities. Frequencies, percentages and means were displayed in tables to enhance the meaning of collected data. Inferential analysis was also conducted to determine statistical significance.

Overall findings indicate progressive use of social networking tools for informal scholarly communication. There is perceived usefulness on the impact of social networking tools on patterns of informal scholarly communication. However, nearly one-third of the respondents have never used social networking tools for informal scholarly communication. Institution-based data comparison revealed no significant differences on data except for few activities of informal scholarly communication.

Given that the number of study subjects was eventually small (total = 382) and that academics by their very nature are disinclined to respond to online surveys, results of the study may suggest non-response errors, and these may impact negatively on the acceptability of inferences and statistical conclusions. The results of the study are, therefore, unlikely to be useful for generalization, but they remain suggestive of a growing tendency among humanities and social sciences’ academics to use social networking tools for informal scholarly communication.

Empirical findings provide a broad understanding about the potential of social networking tools on informal scholarly communication in areas of humanities and social sciences disciplines. Multi-disciplinary investigation and qualitative studies may further deepen our understanding of the impact of social networking tools on patterns of scholarly communication.

Relations in university settings are becoming more heterogeneous in terms of race, ethnicity, religion, nationality, class, and gender. In South Africa, transformation imperatives have radically changed the complexion of the country’s university campuses but have also entrenched political imperatives in its universities. As a consequence, the university is a highly politicised space. This is not new. What is new is a communication environment characterised by real-time, global networked digital communication and the uptake of digital media platforms (including social media platforms). We explore the effects of politicisation and new modes of communication using the case of a controversial article published in a South Africa journal and the ensuing polemic. Drawing on both institutional theory and Castells’ description of the network society, we conceptualise collegiality along two dimensions: horizontal collegial relations which exist for the purpose of knowledge creation and transfer which, in turn, depends on self-governance according to a taken-for-granted code of conduct; and vertical collegiality which describes collegial relations between academic staff and university management, and which is necessary for the governance of the university as a complex organisation. We conclude that the highly personal nature of communication that is propelled by digital communication has a direct impact on collegial relations within the university. The motivations of both university academic staff and management, as well as the public, extend beyond stimulating collective debate in the service of knowledge production to serving individual and/or ideological agendas as the communication of science becomes politicised. While issues pertaining to collegiality in South Africa may at first glance appear to be unique to the country, we believe that in a globally transforming academy, the South African case may offer novel insights and useful lessons for other highly politicised university systems.