1,720,981 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Thresholds of outperformance among Broadcast/Multicast access techniques in 5G networks
Broadcast/multicast technologies are a key enabler for multiple applications and services in the future 5G New Radio (NR). The 3rd Generation Partnership Project (3GPP) works for the new phases of the 5G standard in a novel multimedia broadcast multicast service (5G-MBMS). It will take advantage of the previous multicast approaches and emerging techniques like non-orthogonal multiple access (NOMA), helping to reach the goals of 5G cellular systems and beyond. This paper aims to define outperformance thresholds among broadcast/multicast access techniques for multimedia services in 5G networks. We define such thresholds among three multicast techniques: conventional multicast scheme (CMS), subgrouping based on orthogonal multiple access (OMA), and subgrouping based on power domain non-orthogonal multiple access (P-NOMA). We compare the multicast techniques' performance under a wide range of users' distributions, reception conditions, and specific throughput requirements of the broadcast/multicast multimedia service. We take advantage of the particle swarm optimization (PSO) algorithm to identify the multicast techniques' outperformance thresholds. The proposal and the complete analysis are based on evaluating the aggregated data rate (ADR) and a proposed group-oriented metric. The validation and results analysis shows the boundary conditions of performance among the considered multicast techniques and possible use cases
Multicasting Over 6G Non-Terrestrial Networks: A Softwarization-Based Approach
Multicast/broadcast delivery is a critical challenge of future 6G mobile networks where massive Internet of Things (IoT) deployment and extended reality multimedia such as teleportation are target application scenarios. Non-terrestrial networks (NTNs) are considered essential for the success of 6G, which aims to provide true 'global' services by extending mobile access worldwide, thus overcoming the coverage limit of current terrestrial networks (TNs). This article discusses how the main distinguishing features of NTNs can be effectively exploited for 6G multicasting. Furthermore, in line with the evolution of future 6G networks toward softwarized systems, we evaluate the potential of using the softwarization paradigm in the heterogeneous TN-NTN architecture to deliver multicast services
Dynamic Radio Access Selection and Slice Allocation for Differentiated Traffic Management on Future Mobile Networks
The development of future wireless networks focuses on providing services with strict, dynamic, and diverse quality of service (QoS) requirements. In this sense, the network slicing paradigm arises as a critical piece on the efficient allocation and management of network resources, allowing for dividing the network into several logical networks with specific functionalities and performance. This paper aims at finding the best combination of access network and network slices over a heterogeneous environment to fulfill users’ requests and optimize network resources usage. We propose the Dynamic radio Access selection and Slice Allocation (DASA) algorithm, flexibly adapted to network conditions, user priorities, and mobility behavior. DASA is based on a multi-attribute decision making (MADM) and analytical hierarchy process (AHP) to face the complex problem of network selection. Moreover, it uses a cooperative game theory approach to handle load balancing during overload situations. This work presents an integral solution that combines software-defined network (SDN) and network function virtualization (NFV) technologies to improve network performance and user satisfaction. DASA algorithm is evaluated through network-level simulations, focusing on flexibility and the effective utilization of network resources during network selection and load balancing mechanisms
Dynamic access control and slice allocation algorithm for diverse traffic demand over 5G heterogeneous networks
The considerable increase in the data traffic and the number of connected devices, jointly with the development of critical services with high data rate and ultra-reliable low latency, require flexibility, scalability and availability. The network slicing (NS) concept is crucial in managing these diverse traffic demands, dividing the physical network into several logical networks with specific functionality and performance requirements. This work aims to find the most efficient combination of the access network and network slices in 5G heterogeneous scenarios to maximize the quality of service (QoS). We propose the Dynamic Access control and Slice Allocation (DASA) algorithm, focused on users' current needs, their priorities, and network conditions. DASA is based on multi-attribute decision making (MADM) and analytic hierarchy process (AHP) to face the complex problem of network selection. The score function parameters for each candidate network are configured dynamically, taking into account the user preferences and the most sensitive metrics for each service request, such as throughput, delay, jitter, packet loss ratio, and energy consumption. This work presents a new and integral solution that combines software-defined network (SDN) and network function virtualization (NFV) paradigms to improve network performance and user satisfaction. DASA algorithm is validated via simulations and numerical results
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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