scholarly journals Privacy Preserving in Social Networks Using Combining Cuckoo Optimization Algorithm and Graph Clustering for Anonymization

Author(s):  
Mehdi Namdarzadegan ◽  
Taleb Khafaei

Recently, social networks have received dramatic interest. The speed of the development and expansion of the Internet has created a new topic of research called social networks or online virtual communities on the Internet. Today, social networking sites such as Facebook, Twitter, Instagram and so forth are dramatically used by many people. Since people publish a lot of information about themselves on these networks, this information may be attacked by the intruders, so the need of preserving privacy is necessary on these networks. One of the approaches for preserving privacy is the K-anonymity. Anonymization always faces the challenge of data lost, therefore, an approach is required for anonymization of data and meanwhile maintaining the usefulness of the data. In this research, by combining the k-anonymity priority clustering method and Cuckoo optimization algorithm, an appropriate model is developed to maintain the privacy of the data and its usefulness. The average path length, average clustering coefficient and the transitivity criteria have been used to evaluate the proposed algorithm. The results of the experiments show that the proposed method in most cases has 1 unit superiority in terms of k-anonymity and 2 units superiority in terms of usefulness in comparison with similar methods.

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2956 ◽  
Author(s):  
Paolo Lo Giudice ◽  
Antonino Nocera ◽  
Domenico Ursino ◽  
Luca Virgili

In the last years, several attempts to combine the Internet of Things (IoT) and social networking have been made. In the meantime, things involved in IoT are becoming increasingly sophisticated and intelligent, showing a behavior that tends to look like the one of users in social networks. Therefore, it is not out of place to talk about profiles of things and about information and topics exchanged among them. In such a context, constructing topic-driven virtual communities starting from the real ones operating in a Multi-IoT scenario is an extremely challenging issue. This paper aims at providing some contributions in this setting. First of all, it presents the concept of profile of a thing. Then, it introduces the concept of topic-guided virtual IoT. Finally, it illustrates two approaches (one supervised and one unsupervised) to constructing topic-guided virtual IoTs in a Multi-IoT scenario.


2017 ◽  
Vol SED2017 (01) ◽  
pp. 11-13
Author(s):  
Archana Tiwari

The last decade witnessed an explosion of social networks such as Facebook, twitter, Instagram etc, which added a new social dimension to the web. While such networks have made people, communities and groups with shared interests stay more “connected”. Internet addiction and surfing so many social network sites on internet is an addiction and moreover this particular also started being recognized as psychological disorders all over the world. While several 90′s studies focused on Internet addiction, the next decade saw the growth of a new addiction related to all manner of social networking sites, especially the current king of the jungle: Facebook. This study investigated the existence of Internet addiction among youth and how users are becoming addicted to the Internet in much that same way that others became addicted to drugs or alcohol which resulted in academic and what are the advantages and disadvantages of social networking sites.


2021 ◽  
Author(s):  
Touhid Ghasemi

In the information age with billions of documents available on the Internet, searching among these documents has become quite a challenge for researchers. Since most of the search methods are based on terms within the documents, identifying the relationship between the terms has always been important in the eld of Information Retrieval. Using term relations in query expansion techniques is one of the most commonly used and successful approaches that are being used in order to help users nd what they need. In this study a fuzzy set based methodology is exploited for the retrieval and analysis of data available in Web2.0 social networking sites. The documents in each server or node are used for building a knowledge-base that will be employed by the Recommendation System in order to provide domain speci c suggestions, based on the friendship network in social networking sites. The results of the study show that the proposed methodology is reasonably scalable and can be employed on social networking sites.


2013 ◽  
Vol 4 (4) ◽  
pp. 94-100
Author(s):  
D Veerasamy

Social networks have become a way of life for many people who use them to connect and communicate with the world at large. Social media is defined as any tool or service that uses the Internet to facilitate conversations. Facebook is one of the most popular social networking sites (SNSs) and has a total of 55 million active users worldwide with an average of 250000 new registrations per day. After Yahoo, MySpace and Google, Facebook is also the fourth most popular SNS in South Africa. The purpose of the paper was to determine whether social networks have an influence on higher education students’ lifestyles and behaviour. This research was descriptive and quantitative in nature. The sample comprised 386 students studying at the Durban University of Technology (DUT). The results indicated that the majority of the respondents preferred Facebook as their social network of choice. More than half of the respondents indicated that they access their preferred social network five times or more per day. The majority of the respondents agreed that social networks allow for global interaction and that maintaining relationships has become easier with social networking,


2009 ◽  
Vol 5 (3) ◽  
pp. 233-253 ◽  
Author(s):  
Maytham Safar ◽  
Hussain Sawwan ◽  
Mahmoud Taha ◽  
Talal Al-Fadhli

Location-based applications are one of the most anticipated new segments of the mobile industry. These new applications are enabled by GPS-equipped phones (e.g., emergency applications, buddy finders, games, location-based advertising, etc.). These services are designed to give consumers instant access to personalized, local content of their immediate location. Some applications couple LBS with notification services, automatically alerting users when they are close to a pre-selected destination. With the advances in the Internet and communications/mobile technology, it became vital to analyze the effect of such technologies on human communications. This work studies how humans can construct social networks as a method for group communications using the available technologies. We constructed and analyzed a friends network using different parameters. The parameters that were calculated to analyze the network are the distribution sequence, characteristic path length, clustering coefficient and centrality measures. In addition, we built a PDA application that implements the concept of LBS using two system modules. In the first module, we have developed an application for entertainment purpose; an application program which enables end users to send their birth year and get their horoscope in return. The second part of the project was, to build an application, which helps people to stay in touch with their friends and family members (Find Friend). It helps users to find which of their buddies are within the same area they are in.


2011 ◽  
pp. 651-660
Author(s):  
Mahesh Raisinghani ◽  
Elon Marques

This chapter is focused on some of the current research being conducted in the field of social network theory. The importance of studying the social network concepts is attached to a better understanding of individuals and how and why people interact with each other, as well as how technology and the Internet can affect this interaction. The social network theory field has grown significantly in the last years, and the use of the Internet and advanced computing technology has contributed to new research in this growing area. The first aspect to be covered is the social network theory and some applications for social networks. Also virtual communities, as well as the control over communications tools through social networks will be discussed. Finally, the technology side of social networks will be presented, as mobile social networks, internet social networking systems and e-business correlation, social network software and future trends of social networks. The main objective of this research is to illustrate the correlation between electronic (e-) business (of which e-government is a subset) and social networking.


2021 ◽  
Author(s):  
Touhid Ghasemi

In the information age with billions of documents available on the Internet, searching among these documents has become quite a challenge for researchers. Since most of the search methods are based on terms within the documents, identifying the relationship between the terms has always been important in the eld of Information Retrieval. Using term relations in query expansion techniques is one of the most commonly used and successful approaches that are being used in order to help users nd what they need. In this study a fuzzy set based methodology is exploited for the retrieval and analysis of data available in Web2.0 social networking sites. The documents in each server or node are used for building a knowledge-base that will be employed by the Recommendation System in order to provide domain speci c suggestions, based on the friendship network in social networking sites. The results of the study show that the proposed methodology is reasonably scalable and can be employed on social networking sites.


Author(s):  
Mahesh Raisinghani ◽  
Elon Marques

This chapter is focused on some of the current research being conducted in the field of social network theory. The importance of studying the social network concepts is attached to a better understanding of individuals and how and why people interact with each other, as well as how technology and the Internet can affect this interaction. The social network theory field has grown significantly in the last years, and the use of the Internet and advanced computing technology has contributed to new research in this growing area. The first aspect to be covered is the social network theory and some applications for social networks. Also virtual communities, as well as the control over communications tools through social networks will be discussed. Finally, the technology side of social networks will be presented, as mobile social networks, internet social networking systems and e-business correlation, social network software and future trends of social networks. The main objective of this research is to illustrate the correlation between electronic (e-) business (of which e-government is a subset) and social networking.


2016 ◽  
Vol 10 (7) ◽  
pp. 141
Author(s):  
Samira Ranaiey ◽  
Mohammad Reza Taghavi ◽  
Mohammad Ali Goodarzi

<p class="zhengwen">Because of increased attention to PIU (Problematic Internet Use), some measure had been made, but they seem to be</p><p class="zhengwen">Inadequate, due to new issue of the internet interactions. Therefore the necessity and importance of</p><p class="zhengwen">Standard, valid and reliable tools to assess PIU and the related behaviors are clear.</p>This paper presents results of a study that develops a measure of Reasons of Using Social Networking Sites (S.N.S). The reasons were based on an article by Morahan – Martin and Schumacher. The reasons were arranged as a questionnaire. This questionnaire was completed by 156 volunteer students of Shiraz University. The results indicated that Reasons of S.N.S Use Scale is both reliable and valid. The result of factor analysis showed that two dimensions (Positive and Negative reasons of S.N.S use) explains total variance acceptably.


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