scholarly journals Identifying Influential Nodes in Complex Networks Based on Local Effective Distance

Information ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 311 ◽  
Author(s):  
Junkai Zhang ◽  
Bin Wang ◽  
Jinfang Sheng ◽  
Jinying Dai ◽  
Jie Hu ◽  
...  
Keyword(s):  
Social Network ◽  
Rapid Development ◽  
Internet Technology ◽  
Practical Significance ◽  
Computational Accuracy ◽  
Effective Distance ◽  
Accurate Identification ◽  
Network Information ◽  
Influential Nodes ◽  
Influential Node

With the rapid development of Internet technology, the social network has gradually become an indispensable platform for users to release information, obtain information, and share information. Users are not only receivers of information, but also publishers and disseminators of information. How to select a certain number of users to use their influence to achieve the maximum dissemination of information has become a hot topic at home and abroad. Rapid and accurate identification of influential nodes in the network is of great practical significance, such as the rapid dissemination, suppression of social network information, and the smooth operation of the network. Therefore, from the perspective of improving computational accuracy and efficiency, we propose an influential node identification method based on effective distance, named KDEC. By quantifying the effective distance between nodes and combining the position of the node in the network and its local structure, the influence of the node in the network is obtained, which is used as an indicator to evaluate the influence of the node. Through experimental analysis of a lot of real-world networks, the results show that the method can quickly and accurately identify the influential nodes in the network, and is better than some classical algorithms and some recently proposed algorithms.

Technology of animation in multimedia courseware of mechanical drawing

2021 ◽  
pp. 002072092098608
Author(s):  
Yucheng Shen ◽  
Wei Lu
Keyword(s):  
Divergent Thinking ◽  
Rapid Development ◽  
Development Trend ◽  
Internet Technology ◽  
Size Principle ◽  
Network Information ◽  
Teaching Platform ◽  
Multimedia Teaching ◽  
Multimedia Environment ◽  
Use Of Internet

With the rapid development of Internet technology in China, mechanical drawing plays a more and more important role in social development and practice. The main purpose is to use the course of mechanical drawing to accurately represent the appearance, size, principle and technology of the machine. It is often called the language of communication in the industry. In order to make mechanical drawing better applied and practiced, and to make maximum use of Internet technical resources, the establishment of multimedia courseware teaching mechanism is the development trend of mechanical drawing.In order to adapt to the trend of network information, based on the multimedia environment, this paper studies the application of animation technology in mechanical drawing teaching, and constructs a small multimedia teaching platform. Through the explanation of animation courseware, students can better understand the making and principle of mechanical drawing, and cultivate students' divergent thinking. The teaching platform combines teaching material knowledge with practice to deepen students' understanding of the basic content of mechanical drawing. Finally, the rationality and practicability of the system are analyzed by investigating the platform users. The results show that the application of animation technology in mechanical drawing teaching is reasonable and practical.

scholarly journals Strategies of Ideological and Political Education Transformation for Vocational College Students in the Internet Micromedia Era

2019 ◽  
Vol 3 (2) ◽  
pp. 11
Author(s):  
Bin Yang
Keyword(s):  
Social Development ◽  
Rapid Development ◽  
Social Economy ◽  
Internet Technology ◽  
Ideological And Political Education ◽  
Network Information ◽  
Technology Products ◽  
The One ◽  
Education Transformation ◽  
Teaching Ideas

Due to the continuous development of science and technology, Chinahas stepped into the stage of rapid development of network information technology. Internet technology products come out in an unending flow, such as tablets and mobile phones, which are representative. In order to meet the needs of economic and social development, “micromedia” has become the mainstream of current social development, including: QQ, WeChat, Tik Tok and Weibo, which have become indispensable platforms for people to get information and communicate with each other in daily life. We have ushered in the “micromedia era”. On the one hand, it has injected new impetus into China’s social economy; on the other hand, it has opened up a new horizon for China’s education. The focus and diffculty of this paper is how to effectively combine the teaching ideas of vocational colleges with “micromedia” and elaborate its transformation strategy and policy.

scholarly journals Public Opinion Communication Model under the Control of Official Information

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuexia Zhang ◽  
Ziyang Chen ◽  
Lie Zou
Keyword(s):  
Public Opinion ◽  
Rapid Development ◽  
Internet Technology ◽  
Communication Process ◽  
Practical Significance ◽  
Communication Model ◽  
Network Nodes ◽  
The Public ◽  
The Government ◽  
Official Information

The rapid development of Internet technology has facilitated the dissemination of information that can threaten national security and public health, and effectively controlling the process of public opinion communication is an important topic in contemporary social network research. This paper establishes an official information-controlled public opinion propagation (OI-SEIR) model based on the delay, latency, and conversion of public opinion communication under the control of official information. According to the influence and importance of the network nodes, we theoretically derive the attitude conversion probability of the nodes, making the model more in line with the actual situation. Through actual cases, we analyzed the important influence of official information on the public opinion communication process and provided a theoretical basis for the government and relevant departments to supervise and correctly guide the public opinion network, which has certain practical significance.

scholarly journals Identification of Influential Nodes via Effective Distance-based Centrality Mechanism in Complex Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Aman Ullah ◽  
Bin wang ◽  
Jinfang Sheng ◽  
Jun Long ◽  
Nasrullah Khan
Keyword(s):  
Complex Networks ◽  
Real World ◽  
Practical Significance ◽  
Centrality Measures ◽  
Sir Epidemic Model ◽  
Effective Distance ◽  
H Index ◽  
Sir Epidemic ◽  
Spreading Dynamics ◽  
Influential Nodes

Efficient identification of influential nodes is one of the essential aspects in the field of complex networks, which has excellent theoretical and practical significance in the real world. A valuable number of approaches have been developed and deployed in these areas where just a few have used centrality measures along with their concerning deficiencies and limitations in their studies. Therefore, to resolve these challenging issues, we propose a novel effective distance-based centrality (EDBC) algorithm for the identification of influential nodes in concerning networks. EDBC algorithm comprises factors such as the power of K-shell, degree nodes, effective distance, and numerous levels of neighbor’s influence or neighborhood potential. The performance of the proposed algorithm is evaluated on nine real-world networks, where a susceptible infected recovered (SIR) epidemic model is employed to examine the spreading dynamics of each node. Simulation results demonstrate that the proposed algorithm outperforms the existing techniques such as eigenvector, betweenness, closeness centralities, hyperlink-induced topic search, H-index, K-shell, page rank, profit leader, and gravity over a valuable margin.

scholarly journals Mapping the Sharing Economy in China

2020 ◽  
Vol 12 (16) ◽  
pp. 6333
Author(s):  
Chan Liu ◽  
Raymond K. H. Chan ◽  
Maofu Wang ◽  
Zhe Yang
Keyword(s):  
Global Economy ◽  
Rapid Development ◽  
Sharing Economy ◽  
Essential Elements ◽  
Mobile Internet ◽  
Internet Technology ◽  
Short Term ◽  
Bona Fide ◽  
The Government ◽  
Idle Capacity

Harnessing the rapid development of mobile internet technology, the sharing economy has experienced unprecedented growth in the global economy, especially in China. Likely due to its increasing popularity, more and more businesses have adopted this label in China. There is a concern as to the essential meaning of the sharing economy. As it is difficult to have a universally accepted definition, we aim to map the sharing economy and demystify the use of it in China in this paper. We propose seven organizing essential elements of the sharing economy: access use rights instead of ownership, idle capacity, short term, peer-to-peer, Internet platforms mediated, for monetary profit, and shared value orientation. By satisfying all or only parts of these elements, we propose one typology of sharing economy, and to differentiate bona fide sharing economy from quasi- and pseudo-sharing economy. Finally, there are still many problems that need to be solved urgently in the real sharing economy from the perspective of the government, companies and individuals.

Enabling social networks in an R&D organization

2006 ◽  
Vol 25 (4) ◽  
pp. 237-246
Author(s):  
Tomas Hellström
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Qualitative Study ◽  
Network Formation ◽  
Higher Order ◽  
Practical Significance ◽  
Administrative Unit ◽  
High Level ◽  
Social Network Formation

This paper presents a qualitative study of mechanisms enabling social network formation in the R&D unit of a large technology-based organization. Drawing on interviews with 37 high-level technical and administrative unit members, a number of social network enablers could be discerned, which related to the need for effective location mechanisms, special “enrolment spaces”, and mechanisms for forging contacts. It was also possible to identify a number of higher-order factors for facilitation of network formation, namely hierarchical enablers and communicative and assimilative factors. Based on these results, the paper makes suggestions as to the theoretical and practical significance of social network enabling mechanisms in R&D organizations.

Evaluation of invulnerability of scale-free networks using total information of local sub-graph

2018 ◽  
Vol 29 (08) ◽  
pp. 1850075
Author(s):  
Tingyuan Nie ◽  
Xinling Guo ◽  
Mengda Lin ◽  
Kun Zhao
Keyword(s):  
Mutual Information ◽  
Complex Network ◽  
Fundamental Problem ◽  
The Self ◽  
Practical Significance ◽  
Scale Free ◽  
Total Information ◽  
Scale Free Networks ◽  
Influential Nodes ◽  
Definition Of

The quantification for the invulnerability of complex network is a fundamental problem in which identifying influential nodes is of theoretical and practical significance. In this paper, we propose a novel definition of centrality named total information (TC) which derives from a local sub-graph being constructed by a node and its neighbors. The centrality is then defined as the sum of the self-information of the node and the mutual information of its neighbor nodes. We use the proposed centrality to identify the importance of nodes through the evaluation of the invulnerability of scale-free networks. It shows both the efficiency and the effectiveness of the proposed centrality are improved, compared with traditional centralities.

DEEPFAKE AS A PHENOMENON OF POLITICAL COMMUNICATION

2021 ◽  
Vol 27 (6) ◽  
pp. 101-106
Author(s):  
М. Falaleev ◽  
◽  
N. Sitdikova ◽  
Е. Nechay ◽  
◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Political Communication ◽  
Political Discourse ◽  
Rapid Development ◽  
Theoretical Data ◽  
Practical Significance ◽  
Subject Field ◽  
Learning Programs ◽  
Definition Of ◽  
The Impact

The development of digital technologies, coupled with progress in the development of self-learning programs based on AI (Artificial Intelligence), has obvious advantages in improving the effectiveness of information impact on people around the world. During the 2010s, researchers have documented trends in the use of artificial intelligence for the construction and distribution of media content to indirectly manipulate political discourse at the national and global levels. Special interest in the context of this issue is how the rapid development of AI technologies affects political communication. The object of consideration within the framework of this article is the deepfake technology. Based on this, as a subject, the authors define deepfake as a phenomenon of modern political communication. Accordingly, the purpose of the study is to describe and predict the impact of deepfake technology on political communication at the global and national levels. The paper presents the definition of deepfake, assesses its characteristics depending on the methods and purposes of its distribution, and analyzes the prospects for using this tool to influence political discourse in modern Russia. To study the subject field of the research, methods of systematizing theoretical data, classification, analysis of a set of factors and forecasting have been applied. The practical significance of the work is presented by the authors’ definition and typology of the phenomenon of deepfake and describes its significance as a factor of political communication on the example of a particular country. The results of the work will be useful for researchers studying the problems of digitalization of the media space and modern means of disinformation in politics, both at the local and global levels

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