6,939 research outputs found
A tutorial on the internet of things: from a heterogeneous network integration perspective
The days when the Internet was the only focus of the information society have already gone, and innovative network paradigms such as IoT, cloud computing, smartphone networks, social networks, and industrial networks are gaining popularity and establishing themselves as indispensable ingredients of the future smart universe. Among them, IoT is the most widespread one, envisioned to involve all things in the world. However, its potential will never be fully explored before the complete formation of cyberspace, where humans, computers, and smart objects are pervasively interconnected. Therefore, one of the most important development trends of IoT is its integration with existing network systems. In this tutorial, we provide a detailed analysis of this issue. In particular, the latest achievements, technical solutions, and influential ongoing projects are described, and possible visions and open challenges are also discussed
Spreading processes in Multilayer Networks
Several systems can be modeled as sets of interconnected networks or networks
with multiple types of connections, here generally called multilayer networks.
Spreading processes such as information propagation among users of an online
social networks, or the diffusion of pathogens among individuals through their
contact network, are fundamental phenomena occurring in these networks.
However, while information diffusion in single networks has received
considerable attention from various disciplines for over a decade, spreading
processes in multilayer networks is still a young research area presenting many
challenging research issues. In this paper we review the main models, results
and applications of multilayer spreading processes and discuss some promising
research directions.Comment: 21 pages, 3 figures, 4 table
Unveiling the relation between the challenges and benefits of Operational Excellence and Industry 4.0: A Hybrid Fuzzy Decision-Making Approach
Operational excellence (OpEx) is a direction toward learning and developing an excellent culture in all aspects of an organization. To reach this culture, revolutionizing
activities using industry 4.0 (i4.0) technologies might be a significant empowering tool. This study aims to identify the challenges and benefits of both concepts and investigate their interrelationship to be considered in applying industry 4.0 technologies toward operational excellence. The challenges and benefits of OpEx and i4.0 are identified and finalized by reviewing the literature. The causal relations between the considered factors are extracted using the fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method. Then, the analytical network process (ANP) is applied to determine the importance and weight of the factors (challenges and benefits of OpEx and i4.0) according to the constructed network. The findings illustrated a strong network structure between the factors. First, the causal factors included OpEx and i4.0 challenges, while the OpEx challenges also affected the i4.0 challenges. Both group challenges had a significant effect on OpEx and i4.0 benefits. This means that challenges are the causal factors to be considered in the alignment of i4.0 toward OpEx. Among the OpEx challenges, lack of strategic planning and proper infrastructure were the main influential factors. In contrast, lack of government support and undeveloped business models were identified as the main challenges of i4.0.
OpEx and i4.0 concepts are reviewed, and their pros and cons are studied. Previous studies determined an interaction among these concepts. However, from a practical viewpoint, the relation between the challenges and benefits of i4.0 and OpEx was studied for the first time for their alignment
Exploring Cyberterrorism, Topic Models and Social Networks of Jihadists Dark Web Forums: A Computational Social Science Approach
This three-article dissertation focuses on cyber-related topics on terrorist groups, specifically Jihadists’ use of technology, the application of natural language processing, and social networks in analyzing text data derived from terrorists\u27 Dark Web forums. The first article explores cybercrime and cyberterrorism. As technology progresses, it facilitates new forms of behavior, including tech-related crimes known as cybercrime and cyberterrorism. In this article, I provide an analysis of the problems of cybercrime and cyberterrorism within the field of criminology by reviewing existing literature focusing on (a) the issues in defining terrorism, cybercrime, and cyberterrorism, (b) ways that cybercriminals commit a crime in cyberspace, and (c) ways that cyberterrorists attack critical infrastructure, including computer systems, data, websites, and servers.
The second article is a methodological study examining the application of natural language processing computational techniques, specifically latent Dirichlet allocation (LDA) topic models and topic network analysis of text data. I demonstrate the potential of topic models by inductively analyzing large-scale textual data of Jihadist groups and supporters from three Dark Web forums to uncover underlying topics. The Dark Web forums are dedicated to Islam and the Islamic world discussions. Some members of these forums sympathize with and support terrorist organizations. Results indicate that topic modeling can be applied to analyze text data automatically; the most prevalent topic in all forums was religion. Forum members also discussed terrorism and terrorist attacks, supporting the Mujahideen fighters. A few of the discussions were related to relationships and marriages, advice, seeking help, health, food, selling electronics, and identity cards. LDA topic modeling is significant for finding topics from larger corpora such as the Dark Web forums. Implications for counterterrorism include the use of topic modeling in real-time classification and removal of online terrorist content and the monitoring of religious forums, as terrorist groups use religion to justify their goals and recruit in such forums for supporters.
The third article builds on the second article, exploring the network structures of terrorist groups on the Dark Web forums. The two Dark Web forums\u27 interaction networks were created, and network properties were measured using social network analysis. A member is considered connected and interacting with other forum members when they post in the same threads forming an interaction network. Results reveal that the network structure is decentralized, sparse, and divided based on topics (religion, terrorism, current events, and relationships) and the members\u27 interests in participating in the threads. As participation in forums is an active process, users tend to select platforms most compatible with their views, forming a subgroup or community. However, some members are essential and influential in the information and resources flow within the networks. The key members frequently posted about religion, terrorism, and relationships in multiple threads. Identifying key members is significant for counterterrorism, as mapping network structures and key users are essential for removing and destabilizing terrorist networks. Taken together, this dissertation applies a computational social science approach to the analysis of cyberterrorism and the use of Dark Web forums by jihadists
Connecting the Dots: Leveraging Social Network Analysis to Understand and Optimize Collaborative Dynamics Within the Global Film Production Network
In recent years, the global film industry has observed a notable surge in
international cooperation and cross-border investments. However, a
comprehensive overview of these collaborative investments within the industry
is lacking. This study employs social network analysis to delve into the
possibilities that lie in collaborative efforts and joint investments within
the film sector. The research constructs a network of 150 countries based on
shared creative elements in their film productions, comprising over 7800
interconnected links. Employing measures of centrality, certain pivotal nations
such as the United States, China, and England emerge as influential nodes,
showcasing a strong potential to steer industry growth through collaborative
engagement. Through a more detailed exploration involving community
identification, distinct clusters centered around thematic commonalities that
have converged through joint creative endeavors become evident. For example,
the "Global Thrill Seekers" community focuses on action films, whereas the
"Cultural-Social Cinema Group" addresses worldwide cultural and social issues.
Each of these communities presents distinctive perspectives for international
cooperation and the collaborative creation of content. This analysis
significantly enhances our understanding of the global film network's structure
and dynamics, while concurrently highlighting promising pathways for future
investment and collaborative initiatives. The research underscores the critical
role of leveraging social network analysis methodologies to optimize informed
decision-making concerning collaborative investments, thereby paving the way
for anticipatory outcomes. This study not only contributes insights but also
serves as a model for investigating data-centric participation within the
creative industries
Learning in a Landscape: Simulation-building as Reflexive Intervention
This article makes a dual contribution to scholarship in science and
technology studies (STS) on simulation-building. It both documents a specific
simulation-building project, and demonstrates a concrete contribution to
interdisciplinary work of STS insights. The article analyses the struggles that
arise in the course of determining what counts as theory, as model and even as
a simulation. Such debates are especially decisive when working across
disciplinary boundaries, and their resolution is an important part of the work
involved in building simulations. In particular, we show how ontological
arguments about the value of simulations tend to determine the direction of
simulation-building. This dynamic makes it difficult to maintain an interest in
the heterogeneity of simulations and a view of simulations as unfolding
scientific objects. As an outcome of our analysis of the process and
reflections about interdisciplinary work around simulations, we propose a
chart, as a tool to facilitate discussions about simulations. This chart can be
a means to create common ground among actors in a simulation-building project,
and a support for discussions that address other features of simulations
besides their ontological status. Rather than foregrounding the chart's
classificatory potential, we stress its (past and potential) role in discussing
and reflecting on simulation-building as interdisciplinary endeavor. This chart
is a concrete instance of the kinds of contributions that STS can make to
better, more reflexive practice of simulation-building.Comment: 37 page
The organizational implications of medical imaging in the context of Malaysian hospitals
This research investigated the implementation and use of medical imaging in the
context of Malaysian hospitals. In this report medical imaging refers to PACS,
RIS/HIS and imaging modalities which are linked through a computer network. The
study examined how the internal context of a hospital and its external context
together influenced the implementation of medical imaging, and how this in turn
shaped organizational roles and relationships within the hospital itself. It further
investigated how the implementation of the technology in one hospital affected its
implementation in another hospital. The research used systems theory as the
theoretical framework for the study. Methodologically, the study used a case-based
approach and multiple methods to obtain data. The case studies included two
hospital-based radiology departments in Malaysia.
The outcomes of the research suggest that the implementation of medical imaging in
community hospitals is shaped by the external context particularly the role played by
the Ministry of Health. Furthermore, influences from both the internal and external
contexts have a substantial impact on the process of implementing medical imaging
and the extent of the benefits that the organization can gain. In the context of roles
and social relationships, the findings revealed that the routine use of medical
imaging has substantially affected radiographers’ roles, and the social relationships
between non clinical personnel and clinicians. This study found no change in the
relationship between radiographers and radiologists. Finally, the approaches to
implementation taken in the hospitals studied were found to influence those taken by
other hospitals.
Overall, this study makes three important contributions. Firstly, it extends Barley’s
(1986, 1990) research by explicitly demonstrating that the organization’s internal and
external contexts together shape the implementation and use of technology, that the
processes of implementing and using technology impact upon roles, relationships
and networks and that a role-based approach alone is inadequate to examine the
outcomes of deploying an advanced technology. Secondly, this study contends that
scalability of technology in the context of developing countries is not necessarily
linear. Finally, this study offers practical contributions that can benefit healthcare
organizations in Malaysia
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