Strength in coalitions: Community detection through argument similarity

Author:

Budán Paola Daniela123,Escañuela Gonzalez Melisa Gisselle13,Budán Maximiliano Celmo David1453,Martinez Maria Vanina567,Simari Guillermo Ricardo248

Affiliation:

1. Faculty of Exact Sciences and Technologies, Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina

2. Artificial Intelligence R&D Laboratory, Department of Computer Science and Engineering Universidad Nacional del Sur, Bahía Blanca, Argentina

3. Institute for Computer Science and Information Systems (ICSIS-UNSE), Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina

4. Institute for Computer Science and Engineering (CONICET-UNS), Buenos Aires-Bahía Blanca, Argentina

5. Argentine National Council of Scientific and Technical Research (CONICET), Buenos Aires, Argentina

6. Department of Computer Science, Universidad de Buenos Aires (UBA), Buenos Aires, Argentina

7. Institute for Computer Science Research (CONICET-UBA), Buenos Aires, Argentina

8. Department of Computer Science and Engineering, Universidad Nacional del Sur (UNS), Buenos Aires-Bahía Blanca, Argentina

Abstract

We present a novel argumentation-based method for finding and analyzing communities in social media on the Web, where a community is regarded as a set of supported opinions that might be in conflict. Based on their stance, we identify argumentative coalitions to define them; then, we apply a similarity-based evaluation method over the set of arguments in the coalition to determine the level of cohesion inherent to each community, classifying them appropriately. Introducing conflict points and attacks between coalitions based on argumentative (dis)similarities to model the interaction between communities leads to considering a meta-argumentation framework where the set of coalitions plays the role of the set of arguments and where the attack relation between the coalitions is assigned a particular strength which is inherited from the arguments belonging to the coalition. Various semantics are introduced to consider attacks’ strength to particularize the effect of the new perspective. Finally, we analyze a case study where all the elements of the formal construction of the formalism are exercised.

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Mathematics,Computer Science Applications,Linguistics and Language

Reference52 articles.

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3. L. Amgoud and V. David, Measuring similarity between logical arguments, in: Sixteenth International Conference on Principles of Knowledge Representation and Reasoning, 2018.

4. S. Arib and S. Aknine, An extended multi-agent coalitions mechanism with constraints, in: ICAART, Vol. 1, 2020, pp. 199–207.

5. P. Baroni, D. Gabbay, M. Giacomin and L. van der Torre, Handbook of Formal Argumentation, Vol. 1, College Publications, London, 2018.

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1. Neighborhood-based argumental community support in the context of multi-topic debates;International Journal of Approximate Reasoning;2024-07

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