Ecology, Environment and Conservation Paper

ENVIRONMENTAL IMPACT ASSESSMENT USING SOCIAL NETWORK ANALYSIS AND DATA MINING

Vikas Kumar, Mohit Mishra, Amit Kr Pathak, Dharmendra Kr Dubey and Brahmpal Singh

Abstract

Environmental Impact Assessment (EIA) is a crucial process for evaluating and mitigating the potential environmental impacts of human activities. Traditional EIA methods often focus on direct physical impacts, but fail to capture the complex social interactions and behaviors that contribute to environmental degradation or sustainability. In recent years, there has been a growing interest in leveraging social network analysis and data mining techniques to enhance EIA by incorporating social dynamics into the assessment process. This research abstract proposes an innovative approach that harnesses social network analysis and data mining to improve environmental impact assessment. By analyzing social networks and link data, such as online interactions, collaboration patterns, and information sharing, this research aims to identify influential actors, communities, and behavioral patterns that are significant in shaping environmental outcomes. The research will employ various data mining techniques, including network analysis, machine learning, and statistical modeling, to extract meaningful insights from the collected social network and link data. These insights will be used to develop predictive models that can anticipate the potential environmental impacts of specific activities or interventions. The findings of this research have the potential to inform policy decisions, shape sustainable development strategies, and promote environmentally conscious behaviors within communities. By incorporating social network analysis and data mining into the EIA process, stakeholders can gain a more comprehensive understanding of the social dynamics that drive environmental impacts and take proactive measures to mitigate negative effects. Ultimately, this research aims to bridge the gap between traditional environmental assessments and the complex social systems that influence environmental outcomes, leading to more effective and sustainable decision-making processes.