The Emergence of Communities and Their Leaders on Twitter Following an Extreme Event

作者: Yulia Tyshchuk , Hao Li , Heng Ji , William A. Wallace

DOI: 10.1007/978-3-319-12188-8_1

关键词:

摘要: Twitter is presently utilized as a channel of communication and information dissemination. At present, government non-government emergency management organizations utilize to disseminate relevant information. However, these have limited ability evaluate the in order discover patterns, key players, messages that are being propagated through regarding event. More importantly there general lack knowledge who individuals or warning information, provide confirmations an event associated actions, urge others take action. This paper presents results analysis two events—2011 Japan Tsunami 2012 Hurricane Sandy. These insight into understanding human behavior, collectively part virtual communities on individually leaders members those communities. Specifically, their behavior evaluated terms obtaining propagating seeking additional confirmations, taking prescribed The will employ methodology shows how Natural Language Processing (NLP) Social Network Analysis (SNA) can be integrated results. allows extract actionable messages, construct network, find leaders, determine behaviors community leaders. Moreover, identifies specific roles Such include dispensing unique/new providing communities, urging them show agencies had participation during 2011 compared extensive users both events was consistent with issuance (i.e. warnings). findings suggest higher cohesion among than Sandy displayed agreement required protective action if some were other action). Additionally, differentiation leadership demonstrated stronger presence official sources roles.

参考文章(36)
Jianshu Weng, Bu-Sung Lee, None, Event Detection in Twitter international conference on weblogs and social media. ,(2011)
Jon Kleinberg, Bursty and Hierarchical Structure in Streams Data Mining and Knowledge Discovery. ,vol. 7, pp. 373- 397 ,(2003) , 10.1023/A:1024940629314
Andrea Lancichinetti, Filippo Radicchi, José J. Ramasco, Santo Fortunato, Finding Statistically Significant Communities in Networks PLoS ONE. ,vol. 6, pp. e18961- ,(2011) , 10.1371/JOURNAL.PONE.0018961
John Scott, Social network analysis ,(1991)
Amanda Lee Hughes, Leysia Palen, Twitter adoption and use in mass convergence and emergency events International Journal of Emergency Management. ,vol. 6, pp. 248- 248 ,(2009) , 10.1504/IJEM.2009.031564
Yiming Yang, Tom Pierce, Jaime Carbonell, A study of retrospective and on-line event detection international acm sigir conference on research and development in information retrieval. pp. 28- 36 ,(1998) , 10.1145/290941.290953
LintonC. Freeman, The gatekeeper, pair-dependency and structural centrality Quality & Quantity. ,vol. 14, pp. 585- 592 ,(1980) , 10.1007/BF00184720
Yulia Tyshchuk, William A. Wallace, Actionable Information during Extreme Events -- Case Study: Warnings and 2011 Tohoku Earthquake privacy security risk and trust. pp. 338- 347 ,(2012) , 10.1109/SOCIALCOM-PASSAT.2012.77
Pascal Pons, Matthieu Latapy, Computing communities in large networks using random walks. Journal of Graph Algorithms and Applications. ,vol. 10, pp. 191- 218 ,(2006) , 10.7155/JGAA.00124