1,720,997 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
Collaborative Design using Solution Spaces
Complex design tasks from many domains such as mechanical, electrical and civil engineering make the collaboration of many partners unavoidable for several reasons: knowledge from various experts is necessary, often more than one enterprises are involved and deadlines impose concurrent engineering. However, collaboration also leads to certain in-conveniences such as information loss and misunderstandings during communication and iterative negotiation when suggested partial solutions for subtasks conflict. Moreover, major problems are related to management of changes and ensuring design consistency.
This thesis conjectures that many of these problems are caused by the use of single solutions during negotiation. Currently, project partners assign single values for sub-tasks and then proceed, often after tedious negotiations with other partners, to integrate these partial solutions into solutions for the whole project. While partners determine one single solution for a sub-task, much information about potential alternatives is lost and premature decisions are taken. The integration of partial solutions then often leads to artificial conflicts which are not due to incompatible design goals but arise because information about possible compromises is no longer available. Consequently, many changes usually occur during negotiation about parameter values and much effort must be invested in order to keep the design consistent.
Therefore, we investigate the use of solution spaces instead of single solutions. When solution spaces are used during negotiation, more information about alternatives is avail-able, premature decisions are avoided and thus, no artificial conflicts arise. Moreover, since project partners provide formal information about project requirements, real conflicts between diverging project goals can be detected.
However, the implementation of a collaboration system using solution spaces is far from trivial, since in general the computation of exact solution spaces is intractable. We employ constraint satisfaction techniques in order to calculate solution space approximations. Constraints arise naturally in many fields of engineering and are therefore suited to formally express project requirements. Using constraints on design parameters, project partners can describe large families of acceptable solutions. Moreover, descriptions using constraints can be easily adapted to changes in the project's context.
When project descriptions in terms of constraints are available, constraint satisfaction techniques such as consistency can be employed to provide computational support during collaboration. Consistency algorithms use local inconsistencies to prune regions from the original search space where no solution can be expected and thus provide approximations of solution spaces. Algorithms which ensure low degrees of consistency provide a rough over-estimation of the solution space but have low complexity, while algorithms which enforce high degrees of consistency provide a tight estimation of the solution space but suffer from high complexity. Since consistency algorithms provide over-estimations of solution spaces they are suited to find real conflicts between the various project requirements.
In fact, using constraint satisfaction techniques in collaboration splits negotiation into two phases: negotiation of project requirements and negotiation about parameter values. During the negotiation of requirements, expressed as constraints, partners search for a feasible set of restrictions. Given such a set of restrictions, partners can negotiate about parameter values within the corresponding solution space approximation. During negotiation about parameter values some support for decision-making can be provided by analysing the shape of the solution space approximations.
In order to illustrate the use of constraint satisfaction techniques in collaborative de-sign, a prototype of an Internet-based communication platform has been implemented, which focuses on the exchange of data related to constraints and solution spaces, including the visualisation of constraints and projections of solution space approximation. It provides access to several constraint satisfaction algorithms. Moreover, some standard techniques were extended as follows: A reformulation algorithm transforms algebraic constraint satisfaction problems (CSPs) into ternary form, i.e., such that they contain exclusively constraints involving at most three variables. Thereby, few auxiliary variables are introduced and certain intermediary variables are removed in order to provide a small CSP in ternary form. In addition, the use of interval arithmetic techniques to discretise continuous constraints is proposed. Moreover, variants of 2-consistency and 3-consistency for ternary CSPs have been developed and an improvement of (3,2)-relational consistency's space efficiency. Finally, a description of search heuristics for interactive use is described.
The results of this research have been evaluated in the context of the construction industry. Construction projects are suitable test cases for collaboration systems, since they always imply complex interactions between several partners from various domains. With the help of practitioners, three realistic examples have been modelled. These projects demonstrate the usefulness of constraint satisfaction techniques during negotiation and collaboration within design projects. Constraint-based support leads to better management of changes and easier implementation of least commitment decision strategies. The results of this research may therefore improve the performance of collaboration systems currently in use
Collaborative design using solution spaces
Complex design tasks from many domains such as mechanical, electrical and civil engineering make the collaboration of many partners unavoidable for several reasons: knowledge from various experts is necessary, often more than one enterprises are involved and deadlines impose concurrent engineering. However, collaboration also leads to certain in-conveniences such as information loss and misunderstandings during communication and iterative negotiation when suggested partial solutions for sub-tasks conflict. Moreover, major problems are related to management of changes and ensuring design consistency. This thesis conjectures that many of these problems are caused by the use of single solutions during negotiation. Currently, project partners assign single values for sub-tasks and then proceed, often after tedious negotiations with other partners, to integrate these partial solutions into solutions for the whole project. While partners determine one single solution for a sub-task, much information about potential alternatives is lost and premature decisions are taken. The integration of partial solutions then often leads to artificial conflicts which are not due. to incompatible design goals but arise because information about possible compromises is no longer available. Consequently, many changes usually occur during negotiation about parameter values and much, effort must be invested in. order to keep the design consistent. Therefore, we investigate the use of solution spaces instead of single solutions. When solution. spaces are used during negotiation, more information about alternatives is avail-able, premature decisions are avoided and thus, no artificial conflicts arise. Moreover, since project partners provide formal information about project requirements, real conflicts between diverging project goals can be detected. However, the implementation of a collaboration system using solution spaces is far from trivial, since in general the computation of exact solution spaces is intractable. We employ constraint satisfaction techniques in order to calculate solution space approximations. Constraints arise naturally in many fields of engineering and are therefore suited to formally express project requirements. Using constraints on design parameters, project partners can describe large families of acceptable solutions. Moreover, descriptions using constraints can be easily adapted to changes in the project's context. When project descriptions in terms of constraints are available, constraint satisfaction techniques such as consistency can be employed to provide computational support during collaboration. Consistency algorithms use local inconsistencies to prune regions from the original search space where no solution can be expected and thus provide approximations of solution spaces. Algorithms which ensure low degrees of consistency provide a rough over-estimation of the solution space but have low complexity, while algorithms which enforce high degrees of consistency provide a tight estimation of the solution space but suffer from high complexity. Since consistency algorithms provide over-estimations of solution spaces they are suited to find real conflicts between the various project requirements. In fact, using constraint satisfaction techniques in collaboration splits negotiation into two phases: negotiation of project requirements and negotiation about parameter values. During the negotiation of requirements, expressed as constraints, partners search for a feasible set of restrictions. Given such a set of restrictions, partners can negotiate about parameter values within the corresponding solution space approximation. During negotiation about parameter values some support for decision-making can be provided by analysing the shape of the solution space approximations. In order to illustrate the use of constraint satisfaction techniques in collaborative de-sign, a prototype of an Internet-based communication platform has been implemented, which focuses on the exchange of data related to constraints and solution spaces, including the visualisation of constraints and projections of solution space approximation. It provides access to several constraint satisfaction algorithms. Moreover, some standard techniques were extended as follows: A reformulation algorithm transforms algebraic constraint satisfaction problems (CSPs) into ternary form, i.e., such that they contain exclusively constraints involving at most three variables. Thereby, few auxiliary variables are introduced and certain intermediary variables are removed in order to provide a small CSP in ternary form. In addition, the use of interval arithmetic techniques to discretise continuous constraints is proposed. Moreover, variants of 2-consistency and 3-consistency for ternary CSPs have been developed and an improvement of (3,2)-relational consistency's space efficiency. Finally, a description of search heuristics for interactive use is described. The results of this research have been evaluated in the context of the construction industry. Construction projects are suitable test cases for collaboration systems, since they always imply complex interactions between several partners from various domains. With the help of practitioners, three realistic examples have been modelled. These projects demonstrate the usefulness of constraint satisfaction techniques during negotiation and collaboration within design projects. Constraint-based support leads to better management of changes and easier implementation of least commitment decision strategies. The results of this research may therefore improve the performance of collaboration systems currently in use.LI
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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