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Self-promoting plays an essential role for virtual community evolvement. To derive self-promoting and informative social network, we investigate fundamental services that drive the evolvement of social network, and propose the design and implementation of adaptive social network in this work. Our adaptive social network framework integrates content, community, communication and self-branding services...
The diameter of a graph is the maximum distance among all pairs of nodes. Determining the diameter of a graph in the tradition way costs O(mn) time, where n is the number of nodes and m is the number of edges. A social network can be modelled as a graph. With the rapid expansion of social networks, the number of nodes in a social network could be hundreds of millions. In this paper, we propose a new...
Identifying influential spreaders in online social networks (OSNs) has long been an important but difficult problem to be addressed. Distinguished from previous works that mainly focused on the stationary features of users' influence, we systematically study the variations of users' spreading capability given the fact that influential spreaders are more likely to be the targets of various cyber attacks...
Online social networking sites are a popular medium to exchange information among individuals. For measurement and analysis of social networking sites, we can assume it as a huge graph, where nodes represent users while edges represent links among users. Millions of nodes make the study of social network complex to analyze, so we narrow down by considering ego network rather than considering whole...
Utilizing online social networking for talk is progressively getting to be regular practice, particularly around product deals. Apparently, a standout amongst the most intriguing parts of this pattern is the likelihood of the public sentiment in real time system. It has attracted a legitimate concern for some researchers. Recently, it has been noted that anticipating social audits results from online...
This article researches on node importance ranking of multiplex network. Existing node importance ranking methods are amost monoplex network using only single relationship. However, in real life a person often has various relationships, so how to rank nodes of multiplex network is more realistic and meaningful. In this article, we propose a multiplex network node ranking method based on weighted aggregation...
Several indices for estimating the influence of social media users have been proposed. Most such indices are obtained from the topological structure of a social network that represents relations among social media users. However, several errors are typically contained in such social network structures because of missing data, false data, or poor node/link sampling from the social network. In this...
Social Media encourages users to participate more interactions in Internet. They could share, interact, post the activity. In social networks relation could be defined by post and like to each other status. This data is like a treasure vault waiting to be utilized by the system to develop the recommendation systems. We propose a novel method to make personalized recommendation system which utilizes...
Spam is an unsolicited message, usually sent in thebulk. It is an unwanted activity that is performed to deceivepeople, to theft their personal information, to inject virus in theirsystem, to redirect them on malicious sites. On OSN, spammersshare malicious link looking like genuine one, place discountmessages on their wall, develop malicious apps and sometimescreate fake accounts. While on blog sites,...
Understanding how users in online social networks (OSNs) get exposed to different information and how they adopt such information is essential for OSN management and for understanding information diffusion. In particular, recent studies have demonstrated the importance of studying users' information exposure in characterizing information overload and attention competition in OSNs. However, most existing...
Social network is a platform where people can share their information, make new connections, and explore the information about the different events occurring in society. In recent year, prediction for new link in the social network has been attracted many researchers. Link Prediction in social network refers to finding new connections that will occur between people in the future. It finds the absence...
This study examined the antecedents and consequences of intensity of SNS use in a cross-cultural context. A survey of 977 SNS users was performed in Korea and USA, and the causal relationship was tested using structural equation modelling. Consumer innovativeness, propensity to share information, and privacy concern affected intensity of SNS use and the usage of SNS enabled social capital. In addition,...
The Service of Facebook Fan Pages is one of the most popular social network platform for various organizations. Companies can interact with their own fans through the Fan Pages. The interactions include sending direct advertisement, gathering user meetings, and promoting electronic word of mouth (eWoM). For companies that use social network to gather customers' information, to identify the opinion...
Universal quantifier queries on recursive relation are defined as the set of queries that query the database to get pairs of records (r1, r2) from the same relation such that the second record of each pair must intersect with the first record in a set of required attributes. Such query remains to be an interesting type of queries specially today with the appearance of many applications that need them...
Users who recommended a Voting Advice Application online platform to others in their social networks were “tied” to any individuals who elected to follow the recommendation, in order to form a network dataset. This study examines the homophily hypothesis, the tendency of Inviters and Invitees to be disproportionately similar in demographics, political orientation and attitudes for VAA-generated data,...
Past 5 years, the number of internet users were increased rapidly so that e-commerce market was grew fast too. Nonetheless, e-commerce application has a crucial problem, that is the lack of information about sellers behavior. Buyers often feel hesitate to make transaction at e-commerce site because they are afraid of being cheated by the seller. Our previous paper has proposed a new reputation system...
This study targets social login registrants on an EC site and aims to clarify the difference between the purchasing tendency of social login registrants and general members by analyzing product purchasing history. We focused on the golf portal site that is the subject of this research. We analyzed the purchasing data comparing social login registrants with general members. As the results, it became...
Frequent pattern mining is an important data mining task. Since its introduction, it has drawn attention from many researchers. Consequently, many frequent pattern mining algorithms have been proposed, which include level-wise Apriori-based algorithms, tree-based algorithms, and hyperlinked array structure based algorithms. While these algorithms are popular and benefit from a few advantages, they...
Network science is essential in many civil and military applications due to its great help to complex systems with network-based structures. Our research is mainly about establishing network models to measure influence and impact. We establish two models to evaluate the significance of nodes for directed network(e.g:paper citation network) and undirected network(e.g:friend circle) respectively. Our...
Over the past decade Online Social Networks (OSNs) have been helping hundreds of millions of people develop reliable computer-mediated relations. However, many user profiles in OSNs contain misleading, inconsistent or false information. Existing studies have shown that lying in OSNs is quite widespread, often for protecting a user's privacy. In order for OSNs to continue expanding their role as a...
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