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>

Social Media Metrics in an Academic Setup

2017 ◽  
pp. 116-130
Author(s):  
Tasleem Arif ◽  
Rashid Ali
Keyword(s):  
Social Media ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Present Status ◽  
The Internet ◽  
Collaboration Networks ◽  
Different Types ◽  
Network Metrics ◽  
Network Analysis Metrics

Social media is perhaps responsible for largest share of traffic on the Internet. It is one of the largest online activities with people from all over the globe making its use for some sort of activity. The behaviour of these networks, important actors and groups and the way individual actors influence an idea or activity on these networks, etc. can be measured using social network analysis metrics. These metrics can be as simple as number of likes on Facebook or number of views on YouTube or as complex as clustering co-efficient which determines future collaborations on the basis of present status of the network. This chapter explores and discusses various social network metrics which can be used to analyse and explain important questions related to different types of networks. It also tries to explain the basic mathematics behind the working of these metrics. The use of these metrics for analysis of collaboration networks in an academic setup has been explored and results presented. A new metric called “Average Degree of Collaboration” has been defined to quantify collaborations within institutions.

Utilising social network analysis to study the characteristics and functions of the co-occurrence network of online tags

2014 ◽  
Vol 38 (2) ◽  
pp. 232-247 ◽  
Author(s):  
Ma Feicheng ◽  
Li Yating
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small World ◽  
Online Resources ◽  
Social Tagging ◽  
The Internet ◽  
Content Type ◽  
Categorical Analysis ◽  
Scale Free

Purpose – This paper aims to explore the characteristics of the co-occurrence network of online tags and propose new approaches of applying social network analysis by utilising social tagging in order to organise data. Design/methodology/approach – The authors collected online resources labelled “tag” from 7 November 2004 to 31 October 2011 from the CiteULike website, comprising 684 papers and their URLs, titles and data on tagging (users, times, and tags). They examined the co-occurrence network of online tags by using the analyses of social networks, including the analysis of coherence, the analysis of centricity and core to periphery categorical analysis. Findings – Some features of the co-occurrence of online tags are as follows: the internet is subject to the “small world” phenomenon, as well as being “scale-free”. The structure of the internet reflects stable areas of core knowledge. In addition to five possible applications of social network analysis, social tagging has the greatest significance in organising online resources. Originality/value – This research finds that co-occurrence of tags online is an effective way to organise and index data. Some suggestions are provided on the organisation of online resources.

scholarly journals Research on Social Development and Management Based on Social Network Analysis

2021 ◽  
Vol 9 (4) ◽  
Author(s):  
Chenchen Ma
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Development ◽  
Interpersonal Communication ◽  
The Internet ◽  
The Social ◽  
The Individual ◽  
Relationship Structure ◽  
Development And Management

If you want to understand the social development and management of social network analysis, you must first know what social network analysis is. The network not only refers to the things that we usually use to surf the Internet, make calls, chat, etc., it is actually a relationship structure, a medium that links all aspects of related or unrelated things, and social network refers to the social The medium that connects various relationships is mainly to connect the individual with the social system. Everyone has his own way of behavior, has his own role in society, plays his own role, and effectively connects these individuals, just like our interpersonal communication in society, forming a social network. The Internet is actually the interaction of people in the social environment. It is similar to the Internet that we usually come into contact with. It has both restraints and development.

On Analyzing Examples of Structural Holes in the Potential E-Commence Community

2013 ◽  
Vol 321-324 ◽  
pp. 2999-3007
Author(s):  
Ping Gan
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Online Shopping ◽  
The Other ◽  
The Internet ◽  
Structural Holes ◽  
Other Hand ◽  
The Social

With social network analysis to deeply resolve the social network of users and the network of the thematic network, this thesis is aimed to explore the natures of the node and the Internet as well, find out the potential community, and deepen the analysis of the community, in order to obtain information of structural holes in community. Besides, the feasibility and utility of methods exerted in the thesis were illustrated by experiments. The study of the thesis supplies the help to the online shopping platform with figures theoretically and technologically. On the other hand, through investigating people’s interest in goods, the thesis is also based on to study the user’s investment and the optimization of the online shopping platform.

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.

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