TY - GEN
T1 - Analyzing social event participants for a single organizer
AU - Jiang, Jyun Yu
AU - Li, Cheng Te
N1 - Publisher Copyright:
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - Online social networking services allow people to initialize various kinds of offline social events (e.g., cocktail parties, group buying, and study groups), and invite friends or strangers to participate the events in either manual or collaborative manners. However, such invitation manners are tediously long, and irrelevant, uninterested and even spammers can unexpectedly be added into the event. In this paper, we aim at investigating the characteristics of social events participants for a specific organizer. Specifically, we are wondering how social network, user profiles and geo-locations affect user participation when the social event is held by a single organizer. An extensive analysis has been conducted on the real-world event-based social network Meetup dataset. The results of data analysis also demonstrate that these factors actually influence users' event participation.
AB - Online social networking services allow people to initialize various kinds of offline social events (e.g., cocktail parties, group buying, and study groups), and invite friends or strangers to participate the events in either manual or collaborative manners. However, such invitation manners are tediously long, and irrelevant, uninterested and even spammers can unexpectedly be added into the event. In this paper, we aim at investigating the characteristics of social events participants for a specific organizer. Specifically, we are wondering how social network, user profiles and geo-locations affect user participation when the social event is held by a single organizer. An extensive analysis has been conducted on the real-world event-based social network Meetup dataset. The results of data analysis also demonstrate that these factors actually influence users' event participation.
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M3 - Conference contribution
AN - SCOPUS:84979567330
T3 - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
SP - 599
EP - 602
BT - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PB - AAAI Press
T2 - 10th International Conference on Web and Social Media, ICWSM 2016
Y2 - 17 May 2016 through 20 May 2016
ER -