How Long to Read Cohesive Subgraph Search Over Large Heterogeneous Information Networks

How Long Does it Take to Read Cohesive Subgraph Search Over Large Heterogeneous Information Networks?

It takes the average reader 1 hour and 28 minutes to read Cohesive Subgraph Search Over Large Heterogeneous Information Networks by Yixiang Fang

Assuming a reading speed of 250 words per minute. Learn more

Description

This SpringerBrief provides the first systematic review of the existing works of cohesive subgraph search (CSS) over large heterogeneous information networks (HINs). It also covers the research breakthroughs of this area, including models, algorithms and comparison studies in recent years. This SpringerBrief offers a list of promising future research directions of performing CSS over large HINs. The authors first classify the existing works of CSS over HINs according to the classic cohesiveness metrics such as core, truss, clique, connectivity, density, etc., and then extensively review the specific models and their corresponding search solutions in each group. Note that since the bipartite network is a special case of HINs, all the models developed for general HINs can be directly applied to bipartite networks, but the models customized for bipartite networks may not be easily extended for other general HINs due to their restricted settings. The authors also analyze and compare these cohesive subgraph models (CSMs) and solutions systematically. Specifically, the authors compare different groups of CSMs and analyze both their similarities and differences, from multiple perspectives such as cohesiveness constraints, shared properties, and computational efficiency. Then, for the CSMs in each group, the authors further analyze and compare their model properties and high-level algorithm ideas. This SpringerBrief targets researchers, professors, engineers and graduate students, who are working in the areas of graph data management and graph mining. Undergraduate students who are majoring in computer science, databases, data and knowledge engineering, and data science will also want to read this SpringerBrief.

How long is Cohesive Subgraph Search Over Large Heterogeneous Information Networks?

Cohesive Subgraph Search Over Large Heterogeneous Information Networks by Yixiang Fang is 86 pages long, and a total of 22,016 words.

This makes it 29% the length of the average book. It also has 27% more words than the average book.

How Long Does it Take to Read Cohesive Subgraph Search Over Large Heterogeneous Information Networks Aloud?

The average oral reading speed is 183 words per minute. This means it takes 2 hours to read Cohesive Subgraph Search Over Large Heterogeneous Information Networks aloud.

What Reading Level is Cohesive Subgraph Search Over Large Heterogeneous Information Networks?

Cohesive Subgraph Search Over Large Heterogeneous Information Networks is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

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