On link-based similarity join

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On Link-based Similarity Join

Graphs can be found in applications like social networks, bibliographic networks, and biological databases. Understanding the relationship, or links, among graph nodes enables applications such as link prediction, recommendation, and spam detection. In this paper, we propose link-based similarity join (LS-join), which extends the similarity join operator to link-based measures. Given two sets o...

متن کامل

Link Prediction using Network Embedding based on Global Similarity

Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...

متن کامل

Proximity Rank Join Based on Cosine Similarity

Proximity rank join is the problem of finding the top-K combinations with the highest aggregate score in which the best combinations of objects coming from different services are sought, and each object is equipped with both a score and a real-valued feature vector. The proximity of the objects i.e. the geometry of the feature space plays a distinctive role in the computation of the overall sco...

متن کامل

Providing a Link Prediction Model based on Structural and Homophily Similarity in Social Networks

In recent years, with the growing number of online social networks, these networks have become one of the best markets for advertising and commerce, so studying these networks is very important. Most online social networks are growing and changing with new communications (new edges). Forecasting new edges in online social networks can give us a better understanding of the growth of these networ...

متن کامل

Detecting Overlapping Communities Based on Link-link Similarity and SNMF

In this paper, we present a method named OCDLS that is based on link-link similarity and SNMF (symmetric nonnegative matrix factorization) to detect overlapping communities. To begin with constructing the link-link similarity matrix, and then using SNMF to partition links, finally computing the overlapping factor, and assigning nodes to the corresponding communities according to the prespecifie...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Proceedings of the VLDB Endowment

سال: 2011

ISSN: 2150-8097

DOI: 10.14778/3402707.3402712