scholarly journals k , l -Anonymity in Wheel-Related Social Graphs Measured on the Base of k -Metric Antidimension

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jiang-Hua Tang ◽  
Tahira Noreen ◽  
Muhammad Salman ◽  
Masood Ur Rehman ◽  
Jia-Bao Liu
Keyword(s):  
Decision Making ◽  
Positive Integer ◽  
Recommender Systems ◽  
Maximum Degree ◽  
Social Graph ◽  
Degree Of A Vertex ◽  
Extensive Range ◽  
Social Graphs ◽  
Active Attacks ◽  
Community Decision

For the study and valuation of social graphs, which affect an extensive range of applications such as community decision-making support and recommender systems, it is highly recommended to sustain the resistance of a social graph G to active attacks. In this regard, a novel privacy measure, called the k , l -anonymity, is used since the last few years on the base of k -metric antidimension of G in which l is the maximum number of attacker nodes defining the k -metric antidimension of G for the smallest positive integer k . The k -metric antidimension of G is the smallest number of attacker nodes less than or equal to l such that other k nodes in G cannot be uniquely identified by the attacker nodes. In this paper, we consider four families of wheel-related social graphs, namely, Jahangir graphs, helm graphs, flower graphs, and sunflower graphs. By determining their k -metric antidimension, we prove that each social graph of these families is the maximum degree metric antidimensional, where the degree of a vertex is the number of vertices linked with that vertex.

How did adoption become a dirty word? Indigenous citizenship orders as Irreconcilable Spaces of Aboriginality

2018 ◽  
Vol 14 (4) ◽  
pp. 354-364
Author(s):  
Kahente Horn-Miller
Keyword(s):  
Decision Making ◽  
Identity Formation ◽  
Decision Making Process ◽  
Indigenous Child ◽  
Indigenous Children ◽  
International Attention ◽  
Colonial Order ◽  
Community Decision

In the fall of 2016, the Kahnawà:ke Community Decision Making Process revised the Kahnawà:ke Law on Membership regarding adoption. It was decided that any non-Indigenous child adopted by a Kahnawà:ke family after 2003 would not be recognized as a Kanien’kehá:ka of Kahnawà:ke or an approved resident. Parents were committing an offense in adopting non-Indigenous children and would no longer be eligible to reside in Kahnawà:ke. This decision drew national and international attention, with some questioning the logic of targeting a practice so integral to many Indigenous legal orders. This article frames Rotinonhsiónni adoption, belonging, and identity formation beyond the confines of colonial thought. This might seem like a tall order given colonialism’s all-encompassing grasp on Indigenous minds and communities; indeed, we are all entangled in the colonial order. But there is a way to challenge this by moving beyond frameworks reliant on colonial control.

scholarly journals Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics

i-com ◽  
2020 ◽  
Vol 19 (3) ◽  
pp. 181-200
Author(s):  
Diana C. Hernandez-Bocanegra ◽  
Jürgen Ziegler
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
User Interface ◽  
Recommender Systems ◽  
Social Awareness ◽  
User Characteristics ◽  
Presentation Style ◽  
User Reviews ◽  
Decision Making Styles

Abstract Providing explanations based on user reviews in recommender systems (RS) may increase users’ perception of transparency or effectiveness. However, little is known about how these explanations should be presented to users, or which types of user interface components should be included in explanations, in order to increase both their comprehensibility and acceptance. To investigate such matters, we conducted two experiments and evaluated the differences in users’ perception when providing information about their own profiles, in addition to a summarized view on the opinions of other customers about the recommended hotel. Additionally, we also aimed to test the effect of different display styles (bar chart and table) on the perception of review-based explanations for recommended hotels, as well as how useful users find different explanatory interface components. Our results suggest that the perception of an RS and its explanations given profile transparency and different presentation styles, may vary depending on individual differences on user characteristics, such as decision-making styles, social awareness, or visualization familiarity.

Interfaces and Human Decision Making for Recommender Systems

2020 ◽  
Author(s):  
Peter Brusilovsky ◽  
Marco de Gemmis ◽  
Alexander Felfernig ◽  
Pasquale Lops ◽  
John O'Donovan ◽  
...  
Keyword(s):  
Decision Making ◽  
Recommender Systems ◽  
Human Decision

Maximum total irregularity index of some families of graph with maximum degree n − 1

2021 ◽  
pp. 2250069
Author(s):  
Shamaila Yousaf ◽  
Akhlaq Ahmad Bhatti
Keyword(s):  
Maximum Degree ◽  
Discrete Math ◽  
Simple Approach ◽  
Unicyclic Graphs ◽  
Irregularity Index ◽  
Degree Of A Vertex ◽  
Tricyclic Graphs ◽  
Bicyclic Graphs ◽  
Appl Math

The total irregularity index of a graph [Formula: see text] is defined by Abdo et al. [H. Abdo, S. Brandt and D. Dimitrov, The total irregularity of a graph, Discrete Math. Theor. Comput. Sci. 16 (2014) 201–206] as [Formula: see text], where [Formula: see text] denotes the degree of a vertex [Formula: see text]. In 2014, You et al. [L. H. You, J. S. Yang and Z. F. You, The maximal total irregularity of unicyclic graphs, Ars Comb. 114 (2014) 153–160.] characterized the graph having maximum [Formula: see text] value among all elements of the class [Formula: see text] (Unicyclic graphs) and Zhou et al. [L. H. You, J. S. Yang, Y. X. Zhu and Z. F. You, The maximal total irregularity of bicyclic graphs, J. Appl. Math. 2014 (2014) 785084, http://dx.doi.org/10.1155/2014/785084 ] characterized the graph having maximum [Formula: see text] value among all elements of the class [Formula: see text] (Bicyclic graphs). In this paper, we characterize the aforementioned graphs with an alternative but comparatively simple approach. Also, we characterized the graphs having maximum [Formula: see text] value among the classes [Formula: see text] (Tricyclic graphs), [Formula: see text] (Tetracyclic graphs), [Formula: see text] (Pentacyclic graphs) and [Formula: see text] (Hexacyclic graphs).

Sharp upper bounds of F-index among bicyclic graphs

2021 ◽  
pp. 2250055
Author(s):  
R. Khoeilar ◽  
A. Jahanbani ◽  
L. Shahbazi ◽  
J. Rodríguez
Keyword(s):  
Maximum Degree ◽  
Topological Index ◽  
Upper Bounds ◽  
Degree Of A Vertex ◽  
Bicyclic Graphs

The [Formula: see text]-index of a graph [Formula: see text], denoted by [Formula: see text], is defined as the sum of weights [Formula: see text] over all edges [Formula: see text] of [Formula: see text], where [Formula: see text] denotes the degree of a vertex [Formula: see text]. In this paper, we give sharp upper bounds of the [Formula: see text]-index (forgotten topological index) over bicyclic graphs, in terms of the order and maximum degree.

scholarly journals The degree of involvement of the educational leader of teachers in decision-making from the viewpoint of teachers in the Zarqa Directorate (First) of Education: درجة إشراك القائد التربوي للمعلمين في اتخاذ القرار من وجهة نظر المعلمين  في مديرية تربية الزرقاء الأولى

2020 ◽  
Vol 4 (33) ◽  
Author(s):  
Amal Muner Mohamed Abo Jhashe
Keyword(s):  
Decision Making ◽  
Teaching Methods ◽  
Educational Leaders ◽  
Point Of View ◽  
Teacher Participation ◽  
Educational Institutions ◽  
Educational Leader ◽  
Teaching Curriculum ◽  
Participation In Decision Making ◽  
Community Decision

This study aimed to identify the ability of the educational leader to apply the principle of participation in decision-making and its impact on the achievement of the educational institution's objectives effectively from the point of view of teachers in the Zarqa Directorate (First) of Education and used the study method descriptive-analytical and the study tool (questionnaire) where it was distributed to a random sample of (110) teachers belonging to the Zarqa Directorate (First) of Education. The study found that the participation of educational leaders in decision-making received an average (2.84 out of 5) verbal (intermediate) ratings, and at the level of fields; Community decision-making average (2.90), teacher participation in decision-making for teachers themselves averaged (2.81) and finally teacher participation in decision-making on the teaching curriculum and teaching methods (2.72), all of which are estimated (2.84), and based on the results, the study recommended the need for teachers to participate in decision-making within educational institutions, which reflects positively on the work of the performance of the institution and improve the type of style possessed by the leader in the institution.

scholarly journals Social Norms Structuring Masculinities, Gender Roles, and Stereotypes: Iraqi men and boys’ common misconceptions about women and girls’ participation and empowerment

2021 ◽  
Author(s):  
Luisa Dietrich ◽  
Zorica Skakun ◽  
Rohlat Khaleel ◽  
Tim Peute
Keyword(s):  
Decision Making ◽  
Social Transformation ◽  
Transformative Change ◽  
Limited Participation ◽  
Male Privilege ◽  
Iraqi Women ◽  
Awareness Raising ◽  
Women And Girls ◽  
Community Decision ◽  
Common Misconceptions

The limited participation of Iraqi women in community decision-making in Kirkuk and Diyala is the result of various intertwined factors. This study explores emerging opportunities for social transformation in the context of sedimented layers of male privilege and the questioning of restrictive gender norms in the two governorates. With this report, Oxfam and its partners aim to dismantle barriers to women’s active participation, which is currently constrained by stereotypes and restrictive ideas about gender. Among the promising pathways for change are awareness-raising activities with male allies, alongside other longer-term efforts advancing transformative change in attitudes, practices, and behaviors.

Aspect-Oriented Recommender Systems

2013 ◽  
pp. 55-72
Author(s):  
Punam Bedi ◽  
Sumit Kr Agarwal
Keyword(s):  
Decision Making ◽  
Recommender Systems ◽  
Recommender System ◽  
User Preference ◽  
Preference Learning ◽  
Decision Making Process ◽  
Design Issues ◽  
Aspect Oriented Programming ◽  
Multi Agent ◽  
Oriented Approach

Recommender systems are widely used intelligent applications which assist users in a decision-making process to choose one item amongst a potentially overwhelming set of alternative products or services. Recommender systems use the opinions of members of a community to help individuals in that community by identifying information most likely to be interesting to them or relevant to their needs. Recommender systems have various core design crosscutting issues such as: user preference learning, security, mobility, visualization, interaction etc that are required to be handled properly in order to implement an efficient, good quality and maintainable recommender system. Implementation of these crosscutting design issues of the recommender systems using conventional agent-oriented approach creates the problem of code scattering and code tangling. An Aspect-Oriented Recommender System is a multi agent system that handles core design issues of the recommender system in a better modular way by using the concepts of aspect oriented programming, which in turn improves the system reusability, maintainability, and removes the scattering and tangling problems from the recommender system.

Enhancing Citizens' Participation via Recommender Systems

2020 ◽  
pp. 624-650
Author(s):  
Luis Terán
Keyword(s):  
Decision Making ◽  
Semantic Web ◽  
Private Sector ◽  
Web 2.0 ◽  
Recommender Systems ◽  
Search Engines ◽  
Information Overload ◽  
Relevant Information ◽  
Research Topic ◽  
Government Services

With the introduction of Web 2.0, which includes users as content generators, finding relevant information is even more complex. To tackle this problem of information overload, a number of different techniques have been introduced, including search engines, Semantic Web, and recommender systems, among others. The use of recommender systems for e-Government is a research topic that is intended to improve the interaction among public administrations, citizens, and the private sector through reducing information overload on e-Government services. In this chapter, the use of recommender systems on eParticipation is presented. A brief description of the eGovernment Framework used and the participation levels that are proposed to enhance participation. The highest level of participation is known as eEmpowerment, where the decision-making is placed on the side of citizens. Finally, a set of examples for the different eParticipation types is presented to illustrate the use of recommender systems.

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