Applying the Approach Based on Several Social Network Analysis Metrics to Identify Influential Users of a Brand

Kamalzadeh, Moojan; Haghighat, Abolfazl Toroghi

doi:10.1109/snams53716.2021.9732132

Cited by 5 publications

(2 citation statements)

References 23 publications

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“…This case study intends to use the combined process mining and FMEA method to manage the entry and exit of bulk goods in such a way that the business process challenges raised are resolved. A case study is conducted in one of the largest grain trading and related products manufacturing companies in Iran called Zarmacaron, (Kamalzadeh and Haghighat 2021) which has an ERP software called SAP, and its results are reported.…”

Section: Data Collection and Case Studymentioning

confidence: 99%

Improving the Effectiveness of Enterprise Resource Planning (ERP) System Implementation using a Hybrid Process Mining and FMEA Framework

Mirkhanzadeh,

Hassannayebi,

Kamalzadeh

et al. 2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Recent research on critical failure factors (CFFs) in ERP projects shows that the discovery and implementation of organizational processes are among the top seven main groups of CFFs. In this paper, a hybrid process mining and FMEA framework is presented to quantify the risk factors associated with process non-conformance. This approach is designed to increase the effectiveness of implementing ERP solutions in organizations, based on the identification and assessment of business process risks using the FMEA methodology. This study contributes by enhancing the BPM life cycle using process mining algorithms. To validate the proposed approach, a case study is conducted on the warehousing and logistics management process in one of the largest grain trading companies in Iran. The results of the research show that the use of the proposed approach can reduce the RPN of this process from 336 to 16 thus increasing the effectiveness of the ERP solution deployed.

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Section: Data Collection and Case Studymentioning

confidence: 99%

Improving the Effectiveness of Enterprise Resource Planning (ERP) System Implementation using a Hybrid Process Mining and FMEA Framework

Mirkhanzadeh,

Hassannayebi,

Kamalzadeh

et al. 2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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“…In addition to the efforts made by governments and social media platforms, cybersecurity researchers have also contributed to understanding and studying this phenomenon from various aspects, thereby aiding in the efforts of detecting and preventing it. They have utilized various approaches such as artificial intelligence (AI) and social networks analysis (SNA), which have previously shown effectiveness in ad- dressing issues in various fields, including detecting fake news [8], [9], examining public opinion changes towards COVID-19 vaccination in social networks [10]- [12], community detection [13], [14], business [15], [16], security, and intelligence [17], [18]. In this context, numerous studies have been conducted to minimize the impact of this process.…”

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confidence: 99%

A Comprehensive Survey of Detection and Prevention Approaches for Online Radicalization: Identifying Gaps and Future Directions

Berjawi,

Fenza,

Loia

2023

IEEE Access

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In the digital era, online radicalization has emerged as a significant concern for governments, social media platforms, and researchers. Detecting and preventing online radicalization have become key priorities, leading to extensive research efforts. This study presents a comprehensive survey of existing works in this field, covering various techniques and methodologies. An extensive assessment of 68 publications from databases such as IEEE, SCOPUS, and Web of Science (WoS) was conducted to analyze recent literature on detecting and preventing online radicalization. This research provides an overview of the definition of online radicalization and its relationship with social media. It explores different types and sources of datasets used in studying online radicalization. Additionally, it categorizes approaches and techniques, including Machine Learning (ML), Deep Learning (DL), and Graph algorithms, for detecting and preventing online radicalization. The survey identifies limitations and challenges in the field, highlighting existing gaps and suggesting potential directions for further study. To the best of the authors' knowledge, this work is the first of its kind to undertake such a holistic investigation that consolidates these methodologies presenting them in an accessible manner. The findings contribute as a valuable resource for academics, decision-makers, and professionals working in the field of counter-radicalization and provide insights into existing countermeasures against this expanding threat.

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How to become an Influencer in Social Networks

Adesokan,

Siraj,

Rahman

et al. 2023

ICC 2023 - IEEE International Conference on Communications

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Applying the Approach Based on Several Social Network Analysis Metrics to Identify Influential Users of a Brand

Cited by 5 publications

References 23 publications

Improving the Effectiveness of Enterprise Resource Planning (ERP) System Implementation using a Hybrid Process Mining and FMEA Framework

Improving the Effectiveness of Enterprise Resource Planning (ERP) System Implementation using a Hybrid Process Mining and FMEA Framework

A Comprehensive Survey of Detection and Prevention Approaches for Online Radicalization: Identifying Gaps and Future Directions

How to become an Influencer in Social Networks

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