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First Online: 17 September 2023

Ethical Statement

: This paper presents a study on the application of data mining techniques in social networks, with a strong emphasis on ethical considerations. We are fully committed to upholding the highest ethical standards throughout our research process, prioritizing the privacy and well-being of individuals.

: Privacy protection: Our utmost priority is the careful and secure treatment of personal information. All data collected and analyzed in this study strictly adheres to the relevant privacy laws and regulations. To safeguard privacy, we have taken measures to anonymize and de-identify the data, ensuring there is no possibility of linking any personal information to specific individuals. Our analysis is based solely on aggregated and anonymized data, eliminating any potential risks to individual privacy.

: Datasets and licensing: We have utilized publicly available datasets that have been appropriately licensed, following the terms and conditions set by the dataset owners. In this research paper, we explicitly acknowledge the sources of our data, ensuring that all citation requirements are met.

: Ethical use of results: The results presented in this paper are meant for academic and research purposes only. We acknowledge the need to prevent any misuse of our findings that could violate privacy, harm individuals, or engage in unethical activities. We are dedicated to responsibly using our research outputs, contributing positively to the advancement of computer science and society.

: In conclusion, this study adheres to the highest ethical standards, ensuring the respect for privacy, confidentiality, and responsible use of data. We are dedicated to contributing to the field of data mining in social networks while maintaining the security and privacy of individuals and organizations involved.

Conference Information

Conference Acronym: ECML PKDD

Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference City: Turin

Conference Country: Italy

Conference Year: 2023

Conference Start Date: 18 September 2023

Conference End Date: 22 September 2023

Conference Number: 23

Conference ID: ecml2023

Conference URL: https://2023.ecmlpkdd.org/

Peer Review Information (provided by the conference organizers)

Type: Double-blind

Conference Management System: CMT

Number of Submissions Sent for Review: 829

Number of Full Papers Accepted: 196

Number of Short Papers Accepted: 0

Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.

Average Number of Reviews per Paper: 3.63

Average Number of Papers per Reviewer: 4.5

External Reviewers Involved: Yes

Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.