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Motivated by the relevance of clustering or transitivity to a variety of network applications, we study the Triangle Interdiction Problem (TIP), which is to find a minimum-size set of edges that intersects all triangles of a network. As existing approximation algorithms for this NP-hard problem either do not scale well to massive networks or have poor solution quality, we formulate two algorithms,...
With the advent of smart mobile phone social networking services are becoming the backbone of online virtual communication. Every year, several new social networks introduced with unique features that bring the opportunity for social network users' to migrate on the newly introduced social platform. In order to enjoy the services of newly introduced social media it is necessary that a user must have...
P2P-based social networking services are severely challenged by churn and the lack of reliable service providers, especially considering the high frequency of posts and profile updates of their users. Improved consistency and data availability shall facilitate better acceptance, which in turn will enhance privacy, an inherent benefit of this class of systems. We present Lilliput, a P2P storage primitive...
Persuasion profiling has been shown to be a promising method to personalize persuasive messages that can influence users. In the context of learning, persuade students towards following pedagogical tasks is an important role of teachers and intelligent educational environments. To accomplish persuasion, it is necessary to measure students' susceptibility to influence principles. Susceptibility to...
This paper presents an analysis of the relationships between individuals' traits and cohesion in the virtual community environment. Individual traits relate to personal qualities of members of the community where this paper attempts to present their influence over community cohesion. Four research variables were identified to represent the traits of the virtual community members. Experience relates...
This research intends to examine how spending time on Facebook affect students' academic performance. It explores behavioural factors affecting students utilising Facebook. Questionnaires were personally distributed to 667 undergraduate and postgraduate students from the University of Malaya to determine their intentions for using Facebook, which will allow us to discern the symptoms related to excessive...
Technological advancements and growth of social media prompted organizations to deploy better ways of doing business. Social big data analytics provide a platform to facilitate the job seekers and job providers. The study highlights the significance of social networking sites and its role in transforming traditional recruitment strategy. The transitioning to e-recruitment signifies the importance...
The rapid information propagation facilitates our work and life without precedent in history, but it has tremendously exaggerated the risk and consequences of privacy invasion. Today's attackers are becoming more and more powerful in gathering personal information from many sources and mining these data to further uncover users' privacy. A great number of previous works have shown that, with adequate...
Emergence of high-speed Internet and various smart devices has led to a rapid increase of applications on the Internet. In order to provide reliable services and efficient management of network resources, accurate traffic classification of various applications is essential. Through various methods of extraction when payload signatures are extracted, most of these payload signature formats are just...
In response to customer's demand enforcement, marketers need to carefully select the best marketing campaign. Marketers are creating a contest campaign that requires the participant to upload photos or videos via social media. Interdependent self-construal is one's perspective in which people are somehow connected in a social context. The technology acceptance factors, consisting performance expectancy,...
This study investigates effects of brand community in the social media on the customer-centric model (customer relationship with product, brand, company & other customers) and its impact on brand affect, brand trust, and brand loyalty. This study obtained 374 respondents who are followers of UBER brand community in the social media (Facebook and Twitter). Data were analyzed using covariance-based...
Social Networks are most powerful and easy to use medium for the communication. Social Networks provide a platform for the users where they can make new friends and can share their ideas or moments with others. Facebook is one of the most popular and widely used Social Networks. In Facebook users can easily and freely create their accounts. Facebook provides easy and effective communication among...
The rapid growth of Social Commerce (s-commerce) fuels the need for delivering better quality of services. The existence of C2C social commerce on Facebook and other social media networks requires the use of electronic service quality (e-SQ) instruments. The aim of this paper is to apply the existing e-SQ measures to the context of C2C s-commerce in Thailand. A pilot test study was conducted on Facebook...
In this information age, Social Networking Services contribute a significant amount of contents in creating a knowledge based society. Nowadays, there are more than 500 million tweets sent per day in Twitter. Such drastic growth of contents brings new opportunities for human beings to discover their surroundings more effectively in a timely manner. Moreover, these types of services evolve not only...
Emerging social networks cause an explosive growth in the available multimedia contents on web. Exploiting these contents and their attached meta-data to improve users' experience in various fields become a major research interest in past years. In this study, a new method to extract attractive images from these networks has been proposed. Also, a case study on Facebook and Flickr has been done to...
The immense growth of Social Networking Sites (SNSs) has provided fast interactions with strangers, friends and people known in person. This has increase the religious, political and social possibilities for maintaining virtually every type of significant bonds or groups. The personal information used while interacting on social networking sites is an asset for every user profile that may be traded...
At Facebook, our data systems process huge volumes of data, ranging from hundreds of terabytes in memory to hundreds of petabytes on disk. We categorize our systems as “small data” or “big data” based on the type of queries they run. Small data refers to OLTP-like queries that process and retrieve a small amount of data, for example, the 1000s of objects necessary to render Facebook's personalized...
This article focuses on proposed semantically enhanced model of decision support system for learning management system (LMS). The model is based on a survey of LMSs and various plugins used in these to improve educational process. Systems based on semantic technologies are capable of integrating heterogeneous data, flexibly changing data schemas, semantic search (using ontologies), and joint knowledge...
Despite the ability to model many real world settings as a network, one major challenge in analyzing network data is that important and reliable links between objects are usually obscured by noisy information and hence not readily discernible. In this paper, we propose to detect these important and reliable links — significant edges, from a target network by using multiple auxiliary networks and a...
Online social networking has extended the boundaries of social communication. Now everybody can share their personal stuffs, feelings and relations even on internet too. Although it provides an ease of communication but on the other side this online interaction has created a pool of wide information which can be easily achieved and can be misused. These Online Social Networks offer security, and privacy...
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