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Abstract A mob is an event that is organized via social media, email, SMS, or other forms of digital communication technologies in which a group of people (who might have an agenda) get together online or offline to collectively conduct an act and then disperse (quickly or over a long period). In recent years, these events are increasingly happening worldwide due to the anonymity of the internet, affordability of social media, boredom, etc. Studying such a phenomenon is difficult due to a lack of data, theoretical underpinning, and resources. In this research, we use the Agent-Based Modeling (ABM) technique to model the mobbers and the Monte Carlo method to assign random values to the factors extracted from the theory of Collective Action and conduct many simulations. We also leverage our previous research on Deviant Cyber Flash Mobs to implement various scenarios the mobber could face when they decide to act in a mob or not. This resulted in a model that can simulate mobs, estimate the mob success rate, and the needed powerful actors (e.g., mob organizers) for a mob to succeed. We finally evaluate our model using real-world mob data collected from the Meetup social media platform. This research is one step toward fully understanding mob formation and the motivations of its participants and organizers.
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Two-sided Cultural Niches: Topic Overlap, Geospatial Correlation, and Local Group Activities on Event-based Social Networks
As event-based social networks (EBSNs) such as Meetup.com and Facebook Events gain popularity in managing local events (e.g., farmers’ markets and social gatherings), two-sided cultural niches are created as event organizers and participants benefit from the platform while affecting each other. Among various factors, niche overlap, an ecological feature, has been studied as a key factor that shapes the success of online communities. While such ecological factors may also shape EBSN-based local groups’ success, the context of EBSNs raises unique challenges in understanding the roles of cultural niches due to the informal nature of the local groups and their geographical embeddedness. In this paper, we examine the effects of Meetup groups’ topic overlap and geospatial correlation on the activity levels of both organizers and participants, using one-year Meetup data for 500 cities in the United States. We find that (1) a group’s topic overlap with other groups on EBSN is associated with its activity levels, and (2) local groups’ geospatial correlation may moderate the effects of topic overlap for EBSN users, but inconsistently. The results provide a baseline understanding of EBSN-based groups from an ecological perspective.
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- Award ID(s):
- 2217706
- PAR ID:
- 10474103
- Editor(s):
- Annika Wolff, Dominik Siemon
- Publisher / Repository:
- ACM
- Date Published:
- Journal Name:
- C&T '23: Proceedings of the 11th International Conference on Communities and Technologies
- ISBN:
- 9798400707582
- Page Range / eLocation ID:
- 54 to 63
- Subject(s) / Keyword(s):
- Topic overlap, Meetup, Local groups, Geospatial correlation, Activity level
- Format(s):
- Medium: X
- Location:
- Lahti Finland
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3593743.3593758
