On a Theorem of Lovász that (&sdot, H ) Determines the Isomorphism Type of H

2021 ◽  
Vol 13 (2) ◽  
pp. 1-25
Author(s):  
Jin-yi Cai ◽  
Artem Govorov

Graph homomorphism has been an important research topic since its introduction [20]. Stated in the language of binary relational structures in that paper [20], Lovász proved a fundamental theorem that, for a graph H given by its 0-1 valued adjacency matrix, the graph homomorphism function G ↦ hom( G , H ) determines the isomorphism type of H . In the past 50 years, various extensions have been proved by many researchers [1, 15, 21, 24, 26]. These extend the basic 0-1 case to admit vertex and edge weights; but these extensions all have some restrictions such as all vertex weights must be positive. In this article, we prove a general form of this theorem where H can have arbitrary vertex and edge weights. A noteworthy aspect is that we prove this by a surprisingly simple and unified argument. This bypasses various technical obstacles and unifies and extends all previous known versions of this theorem on graphs. The constructive proof of our theorem can be used to make various complexity dichotomy theorems for graph homomorphism effective in the following sense: it provides an algorithm that for any H either outputs a P-time algorithm solving hom(&sdot, H ) or a P-time reduction from a canonical #P-hard problem to hom(&sdot, H ).

2021 ◽  
Vol 6 ◽  
Author(s):  
Magdalena Riedl ◽  
Carsten Schwemmer ◽  
Sandra Ziewiecki ◽  
Lisa M. Ross

Despite an increasing information overflow in the era of digital communication, influencers manage to draw the attention of their followers with an authentic and casual appearance. Reaching large audiences on social media, they can be considered as digital opinion leaders. In the past, they predominantly appeared as experts for topics like fashion, sports, or gaming and used their status to cooperate with brands for marketing purposes. However, since recently influencers also turn towards more meaningful and political content. In this article, we share our perspective on the rise of political influencers using examples of sustainability and related topics covered on Instagram. By applying a qualitative observational approach, we illustrate how influencers make political communication look easy, while at the same time seamlessly integrating product promotions in their social media feeds. In this context, we discuss positive aspects of political influencers like contributions to education and political engagement, but also negative aspects such as the potential amplification of radical political ideology or conspiracy theories. We conclude by highlighting political influencers as an important research topic for conceptual and empirical studies in the future.


Author(s):  
Christos Bouras ◽  
Eri Giannaka ◽  
Thrasyvoulos Tsiatsos

E-Collaboration is an important research topic, with a great number of researchers contributing on many aspects. The main reason for this major research activity is the broad topic’s scope, which involves not only technological but also social and psychological issues. As a result there are multiple interpretations about what e-collaboration is. More specifically we definitely can say that e-collaboration has been defined in many ways in the past, and the number of definitions has grown recently. The next section present the main terms in this area.


2009 ◽  
pp. 8-16 ◽  
Author(s):  
Christos Bouras ◽  
Eri Giannaka ◽  
Thrasyvoulos Tsiatsos

E-Collaboration is an important research topic, with a great number of researchers contributing on many aspects. The main reason for this major research activity is the broad topic’s scope, which involves not only technological but also social and psychological issues. As a result there are multiple interpretations about what e-collaboration is. More specifically we definitely can say that e-collaboration has been defined in many ways in the past, and the number of definitions has grown recently. The next section present the main terms in this area.


Author(s):  
Lili Nemec Zlatolas ◽  
Tatjana Welzer-Druzovec ◽  
Marjan Heričko ◽  
Marko Hölbl

The development of smart phones and other smart devices has led to the development of mobile applications, which are in use frequently by the users. It is also anticipated that the number of mobile applications will grow rapidly in the next years. This topic has, therefore, been researched highly in the past years. Mobile applications gather user data and that is why privacy and security in mobile applications is a very important research topic. In this chapter we give an overview of the current research on privacy and security issues of mobile applications.


Author(s):  
Lili Nemec Zlatolas ◽  
Tatjana Welzer ◽  
Marjan Heričko ◽  
Marko Hölbl

The development of smart phones and other smart devices has led to the development of mobile applications, which are in use frequently by the users. It is also anticipated that the number of mobile applications will grow rapidly in the next years. This topic has, therefore, been researched highly in the past years. Mobile applications gather user data and that is why privacy and security in mobile applications is a very important research topic. In this chapter we give an overview of the current research on privacy and security issues of mobile applications.


2021 ◽  
Vol 11 (4) ◽  
pp. 1728
Author(s):  
Hua Zhong ◽  
Li Xu

The prediction interval (PI) is an important research topic in reliability analyses and decision support systems. Data size and computation costs are two of the issues which may hamper the construction of PIs. This paper proposes an all-batch (AB) loss function for constructing high quality PIs. Taking the full advantage of the likelihood principle, the proposed loss makes it possible to train PI generation models using the gradient descent (GD) method for both small and large batches of samples. With the structure of dual feedforward neural networks (FNNs), a high-quality PI generation framework is introduced, which can be adapted to a variety of problems including regression analysis. Numerical experiments were conducted on the benchmark datasets; the results show that higher-quality PIs were achieved using the proposed scheme. Its reliability and stability were also verified in comparison with various state-of-the-art PI construction methods.


2021 ◽  
pp. 002205742110164
Author(s):  
Mohammad Zahir Raihan ◽  
Md. Abul Kalam Azad

The outcome-based learning for graduate employability in higher education has been an important research topic among the policymakers, academicians, and researchers over the years. Yet, no bibliometric review on this topic has been published. This study, for the first time, examines bibliometric analysis on this topic examining current research trend and future research agenda. The bibliometrix package in R software and VOSviewer software are used for visualization and interpretation of results. A content analysis is performed to manually examine the bibliometric results.


2021 ◽  
pp. 026858092110053
Author(s):  
Koichi Hiraoka

This article reviews the research trends in welfare sociology (sociological studies on social security and welfare), one of the many subfields of active research in sociology in Japan. For this purpose, several research streams formed from the 1970s to the 2000s are described, and some of the most important research results produced within these in the past two decades are introduced. In the latter part of this article, a broad overview of the research trends in Japanese welfare sociology is attempted by focusing on the contents of the journal published by the Japan Welfare Sociology Association (JWSA).


2014 ◽  
Vol 602-605 ◽  
pp. 3570-3574
Author(s):  
Zhen Hua Luo ◽  
Fen Jiang

In the industrial manufacturing process, most kinds of surfaces are processed by planar materials, but undevelopable surfaces are difficult develop to the plane. The approximation algorithms to develop a undevelopable surface is an important research topic in Computer Aided Geometric Design (CAGD). In this paper, we propose a new approximation algorithms based optimization algorithm. We guarantee the deformation vector make the minimum changes during the developing process. In the paper, some numerical example are given and the can illustrate the our method is effective.


2001 ◽  
Vol 30 (4) ◽  
pp. 445-455 ◽  
Author(s):  
Marguerite Arai ◽  
Maryanne Wanca-Thibault ◽  
Pamela Shockley-Zalabak

While a number of articles have looked at the importance of multicultural training in the workplace over the past 30 years, there is little concrete agreement that documents the common fundamental elements of a “successful” diversity initiative. A review of the training literature suggests the importance of human communication theory and practice without including important research, methodologies, and practice from the communication discipline. This article examines formal diversity approaches, provides examples from the literature of several successful diversity initiatives in larger organizations, identifies the limited use of communication-based approaches in diversity training, and discusses the importance of integrating communication theory and practice in future training efforts.


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