Prescribed conditional interaction structure models with application to the analysis of mobility tables

1991 ◽  
Vol 25 (4) ◽  
pp. 345-358 ◽  
Author(s):  
Tamás Rudas
Keyword(s):  
Interaction Structure ◽  
Conditional Interaction ◽  
Mobility Tables

Developing design literacy through brand-based artefacts

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Catarina LELIS
Keyword(s):  
Empirical Study ◽  
Focus Groups ◽  
Design Process ◽  
Basic Design ◽  
Willingness To Participate ◽  
Socially Responsible ◽  
Interaction Structure ◽  
Functional Prototype ◽  
High Willingness

The brand is a powerful representational and identification-led asset that can be used to engage staff in creative, sustainable and developmental activities. Being a brand the result of, foremost, a design exercise, it is fair to suppose that it can be a relevant resource for the advancement of design literacy within organisational contexts. The main objective of this paper was to test and validate an interaction structure for an informed co-design process on visual brand artefacts. To carry on the empirical study, a university was chosen as case study as these contexts are generally rich in employee diversity. A non-functional prototype was designed, and walkthroughs were performed in five focus groups held with staff. The latter evidenced a need/wish to engage with basic design principles and high willingness to participate in the creation of brand design artefacts, mostly with the purposeof increasing its consistent use and innovate in its representation possibilities, whilst augmenting the brand’s socially responsible values.

scholarly journals Existence of outsiders as a characteristic of online communication networks

2018 ◽  
Vol 6 (4) ◽  
pp. 431-447
Author(s):  
TARO TAKAGUCHI ◽  
TAKANORI MAEHARA ◽  
KEN-ICHI KAWARABAYASHI ◽  
MASASHI TOYODA
Keyword(s):  
Social Networking ◽  
Communication Networks ◽  
Online Communication ◽  
Interaction Structure ◽  
Social Networking Services ◽  
The Public ◽  
User Groups ◽  
The Difference ◽  
Node Removal ◽  
Number Of Individuals

AbstractOnline social networking services involve communication activities between large number of individuals over the public Internet and their crawled records are often regarded as proxies of real (i.e., offline) interaction structure. However, structure observed in these records might differ from real counterparts because individuals may behave differently online and non-human accounts may even participate. To understand the difference between online and real social networks, we investigate an empirical communication network between users on Twitter, which is perhaps one of the largest social networking services. We define a network of user pairs that send reciprocal messages. Based on the correlation between degree of adjacent nodes observed in this network, we hypothesize that this network differs from conventional understandings in the sense that there is a small number of distinctive users that we call outsiders. Outsiders do not belong to any user groups but they are connected with different groups, while not being well connected with each other. We identify outsiders by maximizing the degree assortativity coefficient of the network via node removal, thereby confirming that local structural properties of outsiders identified are consistent with our hypothesis. Our findings suggest that the existence of outsiders should be considered when using Twitter communication networks for social network analysis.

scholarly journals TRANSFORMATION OF THE DECISION SUPPORT SYSTEM MODEL FOR STANDARD SITUATIONS USING INTELLECTUAL AND ANALYTICAL METHODS

2021 ◽  
Vol 21 (3) ◽  
pp. 14-25
Author(s):  
V.V. Antonov ◽  
◽  
K.A. Konev ◽  
G.G. Kulikov ◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Makers ◽  
Information Support ◽  
Accurate Identification ◽  
Interaction Structure ◽  
Typical Situation ◽  
Analytical Tools

The article discusses the issues of improving the efficiency of decision support activities on a relatively large amount of information. The research relevance is associated with the increasing complexity of control objects, which leads to a decrease in the efficiency of decision-making based on the personal experience of decision-makers, up to complete impossibility. The purpose of the ar-ticle is to analyze the problems faced by decision-makers and the creation of methods to improve the effectiveness of decision-making in typical situations. The article examines the main compo-nents of the intelligent subsystem of the decision support system, which require the use of analytical tools, and also forms the methods interaction structure necessary for the effective formation of sce-narios of information support for decision making. To achieve the goals, a decision support method based on an intelligent component was used, which is aimed at creating an effective infrastructure to sup-port decision-making; methods of identification and categorization, designed to implement the most accurate and correct comparison of the characteristics (state) of the observed situation and the characteristics of a typical situation stored in the knowledge base; correlation methods aimed at finding dependencies between the characteristics of situations and scenarios to solve problems associated with these situa-tions; a method for constructing subject qualimetry, used to form a predictive model to assess the degree of compliance of the selected scenario for solving the current situation. As a result, it was de-termined that an important aspect of decision-making in typical situations is the most accurate identification of the state of the situation, the choice of the best scenario for implementing the solu-tion for this situation and the analysis of the consequences of the selected set of measures. To solve these problems, a method for identifying a situation, a method for finding solution scenarios and a qualimetric method for predicting the effectiveness of the selected scenario have been formed. The article concludes that decision-making activities based on the accumulated experience can be im-proved by using the proposed methods and implementing a decision support system with an intelli-gent component.

Ransacking Mobility Tables

1980 ◽  
Vol 9 (1) ◽  
pp. 5 ◽  
Author(s):  
Joan Huber ◽  
David L. Featherman ◽  
Robert M. Hauser
Keyword(s):  
Mobility Tables
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