Reconstructing History of Social Network Evolution Using Web Search Engines

Autor:	Alka Gupta, Francis J. Yammarino, Hadassah J. Head, Andra Serban, Xiujian Chen, Hiroki Sayama, Chanyu Hao, Shelley D. Dionne, Benjamin James Bush, Jin Akaishi
Rok vydání:	2012
Předmět:	Data collection Web search query Social network Computer science business.industry String (computer science) computer.software_genre Data science Search engine Web search engine Data mining Time point Centrality business computer
Zdroj:	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642326141 BIONETICS
DOI:	10.1007/978-3-642-32615-8_18
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::80aa69034ec5649bc92ef3335b1ff842 https://doi.org/10.1007/978-3-642-32615-8_18 Zobrazit plný text záznamu