@inproceedings{fc4691a7e46e411ba9c578a676d0044b,
title = "Reconstructing history of social network evolution using web search engines",
abstract = "We propose a simple web search engine based method for collecting approximated historical data of temporally changing social adaptive networks, which are rather difficult to obtain experimentally in conventional research methods. In the proposed method, a search query string is combined with additional keywords that specify inclusion/exclusion of specific years to limit the search results to a particular time point. Using the proposed method, we reconstructed the temporal evolution of a social network from 2005 to 2009 of 93 individuals who are important in the US economy. We measured centralities of those individuals for every year and found several illustrative cases where the temporal change of centrality of an individual correctly captured the actual events that are related to him/her over this time period. These results indicate the effectiveness of the proposed method. Limitations and future directions of research are discussed.",
keywords = "Social networks, adaptive networks, centrality, data collection, network evolution, web search engines",
author = "Jin Akaishi and Hiroki Sayama and Dionne, {Shelley D.} and Xiujian Chen and Alka Gupta and Chanyu Hao and Andra Serban and Bush, {Benjamin James} and Head, {Hadassah J.} and Yammarino, {Francis J.}",
year = "2012",
doi = "10.1007/978-3-642-32615-8_18",
language = "English",
isbn = "9783642326141",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering",
pages = "155--162",
booktitle = "Bio-Inspired Models of Network, Information, and Computing Systems - 5th International ICST Conference, BIONETICS 2010, Revised Selected Papers",
note = "5th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems, BIONETICS 2010 ; Conference date: 01-12-2010 Through 03-12-2010",
}