… user profiles by different applications, and is based on user … user identification, and this
forms the focus of the current paper. A new user identification method based on Multiple Attribute …

… Problem: We define the problem of user identity resolution (UIR) as discovering as many as
possible … < A,B > are social graphs being compared. By social graph we mean a network that …

… ” matrix and construct the multiple attribute decision-making model. It can obtain … multiple
attribute association decision-making method, utilizing influential users to make social network …

… pattern mining-based cross-social network user identification algorithm that analyzes user-generated …
Liu, and GJ Clapworthy, ‘‘User identification based on multiple attribute decision …

… • We observe that users often leak their identity on multimedia social networks via URLs posted
in their tweets. Such identity leaks can be exploited to build a user’s … # of users identified …

… of the community detection issues, this paper proposes a new temporal user attribute-based …
recently largest interaction based on the attributes of a typical online social network user. …

… social networks, namely social trust network in which the users explicitly express their opinion
about other users … m ) be the multiple attribute decision matrix provided by the expert e k , …

… user identity based on the user’s knowledge. Behavioral linking methods are mostly based
on … Aggregation method is used for data fusion and decision making to discover the maximum …

… So, to cope with this inefficiency in finding the most influential nodes in social networks,
one of the multi attribute decision making techniques (TOPSIS) is utilized in the present work. …

… be a complex system of involving multi-factors. Therefore, how to … social networks. However,
we met a series of serious issues in process of trust relationship building on social networks. …