118 research outputs found
Analyzing covert social network foundation behind terrorism disaster
This paper addresses a method to analyze the covert social network foundation
hidden behind the terrorism disaster. It is to solve a node discovery problem,
which means to discover a node, which functions relevantly in a social network,
but escaped from monitoring on the presence and mutual relationship of nodes.
The method aims at integrating the expert investigator's prior understanding,
insight on the terrorists' social network nature derived from the complex graph
theory, and computational data processing. The social network responsible for
the 9/11 attack in 2001 is used to execute simulation experiment to evaluate
the performance of the method.Comment: 17pages, 10 figures, submitted to Int. J. Services Science
Reflective visualization and verbalization of unconscious preference
A new method is presented, that can help a person become aware of his or her
unconscious preferences, and convey them to others in the form of verbal
explanation. The method combines the concepts of reflection, visualization, and
verbalization. The method was tested in an experiment where the unconscious
preferences of the subjects for various artworks were investigated. In the
experiment, two lessons were learned. The first is that it helps the subjects
become aware of their unconscious preferences to verbalize weak preferences as
compared with strong preferences through discussion over preference diagrams.
The second is that it is effective to introduce an adjustable factor into
visualization to adapt to the differences in the subjects and to foster their
mutual understanding.Comment: This will be submitted to KES Journa
Tangled String for Multi-Scale Explanation of Contextual Shifts in Stock Market
The original research question here is given by marketers in general, i.e.,
how to explain the changes in the desired timescale of the market. Tangled
String, a sequence visualization tool based on the metaphor where contexts in a
sequence are compared to tangled pills in a string, is here extended and
diverted to detecting stocks that trigger changes in the market and to
explaining the scenario of contextual shifts in the market. Here, the
sequential data on the stocks of top 10 weekly increase rates in the First
Section of the Tokyo Stock Exchange for 12 years are visualized by Tangled
String. The changing in the prices of stocks is a mixture of various timescales
and can be explained in the time-scale set as desired by using TS. Also, it is
found that the change points found by TS coincided by high precision with the
real changes in each stock price. As TS has been created from the data-driven
innovation platform called Innovators Marketplace on Data Jackets and is
extended to satisfy data users, this paper is as evidence of the contribution
of the market of data to data-driven innovations.Comment: 16 pages and 7 figures. The author started to write this paper as an
extension of the paper [20] in the reference list, but the content came to be
changed substantially, not by only minor extension but to a new pape
Relationship between Externalized Knowledge and Evaluation in the Process of Creating Strategic Scenarios
Social systems are changing so rapidly that it is important for humans to make decisions considering uncertainty. A scenario is information about the series of events/actions, which supports decision makers to take actions and reduce risks. We propose Action Planning for refining simple ideas into practical scenarios (strategic scenarios). Frameworks and items on Action Planning Sheets provide participants with organized constraints, to lead to creative and logical thinking for solving real issues in businesses or daily life. Communication among participants who have preset roles leads the externalization of knowledge. In this study, we set three criteria for evaluating strategic scenarios; novelty, utility, and feasibility, and examine the relationship between externalized knowledge and the evaluation values, in order to consider factors which affect the evaluations. Regarding a word contained in roles and scenarios as the smallest unit of knowledge, we calculate Relativeness between roles and scenarios. The results of our experiment suggest that the lower the relativeness of a strategic scenario, the higher the strategic scenario is evaluated in novelty. In addition, in the evaluation of utility, a scenario satisfying a covert requirement tends to be estimated higher. Moreover, we found the externalization of stakeholders may affect the realization of strategic scenarios
Designing the Market of Data - For Practical Data Sharing via Educational and Innovative Communications
This special issue of Open Journal of Information Systems (OJIS) reports work on designing the market of data for practical data sharing via educational and innovative communications (MoDAT). In the market of data, data are reasonably dealt with sold, opened, or shared based on negotiation. Since last years, we have been aiming at realizing a social environment, where each person feels free to share one's own and others' data for learning the latent value of data without fearing the loss of business opportunities. In the market, data and analysts' knowledge are shared by selling and buying, with reasonably determining the conditions for sharing. People in the market may communicate with each other in order to decide to expose the data as open-source, if the trust of the data provider is expected to be elevated highly due to the contribution to people in the public. Thus the Market of Data means a place where the value of data and knowledge can be externalized. OJIS is published by RonPub (www.ronpub.com), which is an academic publisher of online, open access, peer-reviewed journals
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