Groupthink and Peer Pressure: Social Influence in Online Social Network Groups Export

@inproceedings{Hui09, abstract = {In this paper, we present a horizontal view of social influence, more specifically a quantitative study of the influence of neighbours on the probability of a particular node to join a group, on four popular Online Social Networks (OSNs), namely Orkut, YouTube, LiveJournal, and Flickr. Neighbours in OSNs have a mutually acknowledged relation, most often defined as friendship, and they are directly connected on a graph of a social network. Users in OSNs can also join groups of users. These groups represent common areas of interest. We present a simple social influence model to describe and explain the group joining process of users on OSNs. To this end, we extract the social influence from data sets of OSNs of a million sample nodes. One of our findings is that a set of neighbours in the OSN is about 100 times more powerful in influencing a user to join a group than the same number of strangers.}, address = {Athens, Greece}, author = {Hui, Pan and Buchegger, Sonja}, booktitle = {Proceeding International Conference on Advances in Social Networks Analysis and Mining (ASONAM)}, citeulike-article-id = {5813371}, citeulike-linkout-0 = {http://www.cl.cam.ac.uk/~ph315/publications/influenceAsonam.pdf}, keywords = {flickr, online\_communities, participation, social\_networks}, month = {July}, posted-at = {2009-09-21 14:00:07}, priority = {2}, title = {Groupthink and Peer Pressure: Social Influence in Online Social Network Groups}, url = {http://www.cl.cam.ac.uk/~ph315/publications/influenceAsonam.pdf}, year = {2009} }

TY - CONF ID - Hui09 L3 - citeulike-article-id:5813371 N2 - In this paper, we present a horizontal view of social influence, more specifically a quantitative study of the influence of neighbours on the probability of a particular node to join a group, on four popular Online Social Networks (OSNs), namely Orkut, YouTube, LiveJournal, and Flickr. Neighbours in OSNs have a mutually acknowledged relation, most often defined as friendship, and they are directly connected on a graph of a social network. Users in OSNs can also join groups of users. These groups represent common areas of interest. We present a simple social influence model to describe and explain the group joining process of users on OSNs. To this end, we extract the social influence from data sets of OSNs of a million sample nodes. One of our findings is that a set of neighbours in the OSN is about 100 times more powerful in influencing a user to join a group than the same number of strangers. AD - Athens, Greece TI - Groupthink and Peer Pressure: Social Influence in Online Social Network Groups T2 - Proceeding International Conference on Advances in Social Networks Analysis and Mining (ASONAM) KW - flickr KW - online_communities KW - participation KW - social_networks AU - Hui, Pan AU - Buchegger, Sonja PY - 2009/07// UR - http://www.cl.cam.ac.uk/~ph315/publications/influenceAsonam.pdf ER -