The Latest Research Progress of Personalized Information Recommend Based on the Tag

2013 ◽  
Vol 679 ◽  
pp. 131-136
Author(s):  
Hui Juan Wu ◽  
Bao Xiang Xu ◽  
Yan Yan Wang
Keyword(s):  
Graph Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Research Progress ◽  
The Internet ◽  
Analysis Method ◽  
Social Tag ◽  
The Future ◽  
Information Recommendation

In web2.0 era, tag marks that users have become from passive consumers into active information creators. Users can create and use any tags which represent their will freely on the Internet; they can also share all kinds of tags which other users have created. At the same time, personalized information recommendation can solve the problem of the flood of information, so how to conduct personalized information recommendation based on tags has become the focus of many scholars. This paper summarized three categories about the information recommendation model based on tags: Graph theory- based model, Tensor-based model and Topic-based model, then the author put forward the defects of the existing model and the problems that need to be solved in the future, such as how to reduce noise, how to use social network analysis method to study social tag system and so on.

scholarly journals Analisis Akun Twitter Berpengaruh terkait Covid-19 menggunakan Social Network Analysis

2021 ◽  
Vol 5 (4) ◽  
pp. 697-704
Author(s):  
Aprillian Kartino ◽  
M. Khairul Anam ◽  
Rahmaddeni ◽  
Junadhi
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Dissemination ◽  
Interaction Network ◽  
Analysis Method ◽  
The Social ◽  
The World ◽  
High Degree

Covid-19 is a disease of the virus that is shaking the world and has been designated by WHO as a pandemic. This case of Covid-19 can be a place of dissemination of disinformation that can be utilized by some parties. The dissemination of information in this day and age has turned to the internet, namely social media, Twitter is one of the social media that is often used by Indonesians and the data can be analyzed. This study uses the social network analysis method, conducted to be able to find nodes that affect the ongoing interaction in the interaction network of information dissemination related to Covid-19 in Indonesia and see if the node is directly proportional to the value of its popularity. As well as to know in identifying the source of Covid-19 information, whether dominated by competent Twitter accounts in their fields. The data examined 19,939 nodes and 12,304 edges were taken from data provided by the web academic.droneemprit.id on the project "Analisis Opini Persebaran Virus Corona di Media Sosial", using the period of December 2019 to December 2020 on social media Twitter. The results showed that the @do_ra_dong account is an influential actor with the highest degree centrality of 860 and the @detikcom account is the actor with the highest popularity value of follower rank of 0.994741605. Thus actors who have a high degree of centrality value do not necessarily have a high follower rank value anyway. The study ignores if there are buzzer accounts on Twitter.  

scholarly journals Group Measures and Modeling for Social Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Vincent Levorato
Keyword(s):  
Complex System ◽  
Social Networks ◽  
Graph Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Modeling ◽  
Complex Interactions ◽  
Social Network Modeling

Social network modeling is generally based on graph theory, which allows for study of dynamics and emerging phenomena. However, in terms of neighborhood, the graphs are not necessarily adapted to represent complex interactions, and the neighborhood of a group of vertices can be inferred from the neighborhoods of each vertex composing that group. In our study, we consider that a group has to be considered as a complex system where emerging phenomena can appear. In this paper, a formalism is proposed to resolve this problematic by modeling groups in social networks using pretopology as a generalization of the graph theory. After giving some definitions and examples of modeling, we show how some measures used in social network analysis (degree, betweenness, and closeness) can be also generalized to consider a group as a whole entity.

scholarly journals The Relation between Organizational Network Distance and Knowledge Transfer Based on Social Network Analysis Method

2017 ◽  
Vol 12 (06) ◽  
pp. 171
Author(s):  
Muyun Sun
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Knowledge Transfer ◽  
Analysis Method ◽  
Network Distance ◽  
Organizational Network ◽  
Network Connection ◽  
Knowledge Growth ◽  
Negative Effect

As a means to maintain competitive advantages of organizations, knowledge transfer has attracted more and more attention in the academic circle. In this paper, the concept of network distance is introduced on the basis of social network analysis method, and the influence of network distance between organizations in social network on knowledge transfer is studied. Moreover, analogue simulation is conducted by utilizing 10 innovative enterprises in Shanghai Withub Hi-Tech Center. According to the researches, firstly, knowledge growth rate of the entire network tends to increase at first and then becomes stable as time passes. In this process, knowledge difference level among various organizations continues to decline and tends to be stable finally. Secondly, network distance has a negative effect on knowledge transfer. According to the simulation results, organizations need to continuously improve their knowledge absorption ability, to change the network connection mode, and to form a close network with other organizations.

scholarly journals The provenance of Neo-Babylionian legal documents from ‘Kish’ outside the Ashmolean Museum Collection

1970 ◽  
Vol 24 ◽  
pp. 35-46
Author(s):  
Roman Deiksler
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
First Century ◽  
Museum Collection ◽  
Analysis Method ◽  
Legal Documents ◽  
The Social ◽  
The Town

This article shows the significance of the Social Network Analysis method in the study of Judea in the first century AD. The author presents the method and then shows its application on the example of the role of individual cities of Galilee. The situation concerns the time of the Jewish uprising in Galilee over a period of several months (autumn 66 - July 67 AD). After analyzing the situation in Galilee based on the works of Joseph Flavius, a graph was generated using the Ucinet computer program. The use of SNA in the study of the importance of individual cities in Galilee drew attention to the town of Gamla, which Joseph Flavius considered the most important fortress in this area. In addition, the graph showing the visits of individual insurgents to the cities of Galilee showed that Sepphoris was visited by both supporters and opponents of Joseph Flavius. Despite the fact that the inhabitants supported the Romans, they did not give up any rebel who visited them. The study confirmed the usefulness of the SNA method in undertaking subsequent analyzes of the works of Joseph Flavius.

scholarly journals Social network analysis of e-complaints in fast food sectors in Turkey

2015 ◽  
Vol 12 (2) ◽  
pp. 235
Author(s):  
Deniz Yüncü ◽  
Hilmi Rafet Yüncü
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Fast Food ◽  
Feedback Mechanism ◽  
Internet Technology ◽  
The Internet ◽  
Consumer Complaints ◽  
Internet Environment

<p>Complaint is defined as an act of reflecting a dissatisfying situation to other side. Consumers act differently while they are expressing their dissatisfaction. Consumer complaints constitute an important feedback mechanism for companies. Thanks to these feedbacks, the firms get a chance to correct the mistake in the process of production and to produce a more satisfying product. Consumers express their complaints about the dissatisfying processes through feedback to the firm, expressing them to their friends, or resentment. With the developments in the Internet technology, it is seen that complaints have become widespread. Consumers let more people know about their complaints by expressing them in the internet environment. Therefore, the firms should attach importance to e-complaints and tolerate the dissatisfaction of their consumers. Although there are some studies about consumer complaints in the tourism area, there are not any studies about fast-food agencies. For this reason, it is aimed to categorize the fast-food agencies in www.sikayetvar.com.</p>

Emerging Forms of Collaboration

2016 ◽  
pp. 69-99
Author(s):  
Alexandra Antonopoulou ◽  
Eleanor Dare
Keyword(s):  
Graph Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Community Of Practice ◽  
Motion Capture ◽  
Interaction Design ◽  
Collaborative Technologies ◽  
Custom Made ◽  
New Form

The chapter will outline the implications of two projects, namely the ‘Phi Books' (2008) and the ‘Digital Dreamhacker' (2011). These novel projects serve here as case studies for investigating new and challenging ways of advancing collaborative technologies, using in particular, Communities of Practice and insights gained from both embodiment and graph theory (social network analysis) as well as design. Both projects were developed collaboratively, between a computer programmer and a designer and a wider community of practice, consisting of other artists, writers, technologists and designers. The two systems that resulted also acted as methodologies, instigated by the authors with a view to facilitate, explore and comment on the act of collaboration. Both projects are multi-disciplinary, spanning ideas and techniques from mathematics and art, design and computer programming. The projects deploy custom-made software and fiction enmeshed structures, drawing upon methodologies that are embedded with dreams and stories while at the same time being informed by cutting-edge research into human behaviour and interaction design. The chapter will investigate how the projects deployed techniques and theoretical insights from social network analysis as well as motion capture technology and the wider concept of a Community of Practice, to extend and augment existing collaborative methods. The chapter draws upon Wenger et al (2002), as well as Siemens (2014) and Borgatti et al (2009), and will explore the idea of a new form of collective social and technological collaborative grammar, deploying gesture as well as Social Network Analysis. Moreover, the featured projects provide insights into the ways in which digital technology is changing society, and in turn, the important ways in which technology is embedded with the cultural and economic prerogatives of increasingly globalized cultures.

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