International Journal of Graph Computing (IJGC)

 

IJGC 1(1)

 

Graphs are widely used to model complex data nowadays: social networks, recommendation engines, computer networks, bio-informatics, to name a few. Graph theory has traditionally been a core area of research in computer science and artificial intelligence. With the growing number of applications and amount of data, Graph Computing addresses the storage, analysis, synthesis, and processing of (possibly large) graphs to solve complex problems. . 

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The International Journal of Graph Computing publishes high quality papers i Graph Computing. TOPICS OF INTEREST​​ include, but are not limited to:

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• Graph algorithm

• Storage of graphs

• Combinatorial optimization

• Knowledge graph

• Network analysis

• Diffusion analysis

• Influence analysis

• Social network

• Semantic network

• Graph database

• Query language

• Query processing and optimization

• Integrity and security

• Graph OLAP

• Graph mining

• Graph learning

• Graph reduction

• Graph visualization

• Big graph

• Applications

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Editor in Chief

Joseph Barr, Trust Science, USA

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