TY - GEN
T1 - Biased respondent group selection under limited budget for minority opinion survey
AU - Kim, Donghyun
AU - Wang, Wei
AU - Tetteh, Matthew
AU - Liang, Jun
AU - Park, Soyoon
AU - Lee, Wonjun
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - This paper discusses a new approach to use the information from a special social network with high homophily to select a survey respondent group under a limited budget such that the result of the survey is biased to the minority opinions. This approach has a wide range of potential applications, e.g. collecting complaints from the customers of a new product while most of them are satisfied. We formally define the problem of computing such group with better utilization as the p-biased representative selection problem (p-BRSP). This problem has two separate objectives and is difficult to deal with. Thus, we also propose a new unified-objective which is a function of the two optimization objectives. Most importantly, we introduce two polynomial time heuristic algorithms for the problem, where each of which has an approximation ratio with respect to each of the objectives.
AB - This paper discusses a new approach to use the information from a special social network with high homophily to select a survey respondent group under a limited budget such that the result of the survey is biased to the minority opinions. This approach has a wide range of potential applications, e.g. collecting complaints from the customers of a new product while most of them are satisfied. We formally define the problem of computing such group with better utilization as the p-biased representative selection problem (p-BRSP). This problem has two separate objectives and is difficult to deal with. Thus, we also propose a new unified-objective which is a function of the two optimization objectives. Most importantly, we introduce two polynomial time heuristic algorithms for the problem, where each of which has an approximation ratio with respect to each of the objectives.
UR - http://www.scopus.com/inward/record.url?scp=84947224475&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-21786-4_16
DO - 10.1007/978-3-319-21786-4_16
M3 - Conference contribution
AN - SCOPUS:84947224475
SN - 9783319217857
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 182
EP - 192
BT - Computational Social Networks - 4th International Conference, CSoNet 2015, Proceedings
A2 - Nguyen, Nam P.
A2 - Shen, Huawei
A2 - Thai, My T.
PB - Springer Verlag
T2 - 4th International Conference on Computational Social Networks, CSoNet 2015
Y2 - 4 August 2015 through 6 August 2015
ER -