Graph Algorithms for Social Network Analysis
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Combinatorial Optimization, Graph, and Network Algorithms".
Deadline for manuscript submissions: closed (29 July 2023) | Viewed by 3353
Special Issue Editor
Interests: design and analysis of algorithms; network algorithms; social network analysis; parameterized algorithms and complexity; combinatorial structures
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Social networks have radically changed the way people produce and consume online information, further enabling new forms of interaction between people, objects, information, and services. On the other hand, the vast amount of data available from many online agents and sources has created an opportunity to address both new and longstanding questions.
However, if people and their social interactions can be represented as a graph, then the analysis of a social network undergoes network and graph theory.
This Special Issue encourages submissions in all areas of graph theory and algorithms and social network analysis. The focus is on the investigation of graph-based techniques for social networks with the aim of developing algorithms to make these systems more effective and efficient.
Dr. Adele Anna Rescigno
Guest Editor
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- algorithms for web and social graph representation
- algorithms for graph and subgraph identification
- analysis of heterogeneous, signed, and attributed networks
- algorithms for influence propagation and information diffusion
- algorithms for community-based networks
- approximation algorithms and inapproximability results
- parameterized algorithms and complexity
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