Active participation of a person in a community is a powerful indicator
of the person’s interests, preferences, beliefs and (often) social
and demographic context. Community membership is part of a user’s
model and can contribute to tasks like personalized services, assistance
and recommendations. However, a community member can be active or
inactive. To what extend is a community still representative of the
interests of an inactive participant? To gain insights to this question,
we observe a community as an evolving social structure and study
the effects of member fluctuation. We define a community as a high-level
temporal structure composed of “community instances” that are defined
conventionally through observable active participation and are captured
at distinct timepoints. Thus, we capture community volatility, as
evolution and discontinuation. This delivers us clues about the role
of the community for its members, both for active and inactive ones.
We have applied our model on a community exhibiting large fluctuation
of members and acquired insights on the community-member interplay.
%0 Conference Paper
%1 FalSpi07_UM
%A Falkowski, Tanja
%A Spiliopoulou, Myra
%B Proceedings of User Modeling 2007 - LNAI 4511
%D 2007
%E Conati, C.
%E McCoy, K.
%E Paliouras, G.
%I Springer
%K community community_evolution community_modeling graphs myown social_networks
%P 57-66
%R 10.1007/978-3-540-73078-1_8
%T Users in Volatile Communities: Studying Active Participation and
Community Evolution
%U http://www.tanjafalkowski.de/downloads/UM_FalSpi07.pdf
%X Active participation of a person in a community is a powerful indicator
of the person’s interests, preferences, beliefs and (often) social
and demographic context. Community membership is part of a user’s
model and can contribute to tasks like personalized services, assistance
and recommendations. However, a community member can be active or
inactive. To what extend is a community still representative of the
interests of an inactive participant? To gain insights to this question,
we observe a community as an evolving social structure and study
the effects of member fluctuation. We define a community as a high-level
temporal structure composed of “community instances” that are defined
conventionally through observable active participation and are captured
at distinct timepoints. Thus, we capture community volatility, as
evolution and discontinuation. This delivers us clues about the role
of the community for its members, both for active and inactive ones.
We have applied our model on a community exhibiting large fluctuation
of members and acquired insights on the community-member interplay.
@inproceedings{FalSpi07_UM,
abstract = {Active participation of a person in a community is a powerful indicator
of the person’s interests, preferences, beliefs and (often) social
and demographic context. Community membership is part of a user’s
model and can contribute to tasks like personalized services, assistance
and recommendations. However, a community member can be active or
inactive. To what extend is a community still representative of the
interests of an inactive participant? To gain insights to this question,
we observe a community as an evolving social structure and study
the effects of member fluctuation. We define a community as a high-level
temporal structure composed of “community instances” that are defined
conventionally through observable active participation and are captured
at distinct timepoints. Thus, we capture community volatility, as
evolution and discontinuation. This delivers us clues about the role
of the community for its members, both for active and inactive ones.
We have applied our model on a community exhibiting large fluctuation
of members and acquired insights on the community-member interplay.},
added-at = {2009-07-09T15:15:46.000+0200},
author = {Falkowski, Tanja and Spiliopoulou, Myra},
biburl = {https://www.bibsonomy.org/bibtex/2b2788faf4c7271148254fd1ce77c519f/tfalk},
booktitle = {Proceedings of User Modeling 2007 - LNAI 4511},
citeulike-article-id = {1610939},
doi = {10.1007/978-3-540-73078-1_8},
editor = {Conati, C. and McCoy, K. and Paliouras, G.},
interhash = {12c115cfd7805c3bf6f68083068d6261},
intrahash = {b2788faf4c7271148254fd1ce77c519f},
keywords = {community community_evolution community_modeling graphs myown social_networks},
pages = {57-66},
priority = {0},
publisher = {Springer},
timestamp = {2009-07-09T15:15:46.000+0200},
title = {Users in Volatile Communities: Studying Active Participation and
Community Evolution},
url = {http://www.tanjafalkowski.de/downloads/UM_FalSpi07.pdf},
year = 2007
}