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| Content Provider | Springer Nature Link |
|---|---|
| Author | Carley, Kathleen M. Pfeffer, Jürgen Morstatter, Fred Liu, Huan |
| Copyright Year | 2014 |
| Abstract | Effective crisis response requires rapid assessment of a situation in order to form actionable plans. Social media and traditional media are critical to this assessment. This paper describes a rapid ethnographic approach for extracting information from Twitter and news media and then assessing that information using dynamic network analysis techniques. Text mining high-dimensional network analytics and visualization are combined to provide an integrated approach to assessing large dynamic networks. This approach was used as the Benghazi consulate and the Egyptian embassy were attacked in 2012. This near-real-time assessment was set against a backdrop of ongoing data collection associated with the Arab Spring countries. This ongoing collection provided a baseline for Libya and Egypt against which the new data could be assessed. Herein, the outcome of that near-real-time assessment, the tools used, the lessons learned, and the results discovered are described. The same approach was used in other crisis events including SuperStorm Sandy, the Kenyan elections, from which examples are also drawn. We find that to be effective such analytics require the use of multiple media, deep dives into specific secondary issues, and a high-level assessment of not just who is doing what, but who is providing what information. Finally, we show the criticality of baseline data for interpreting the behavior during a crisis. |
| Starting Page | 1 |
| Ending Page | 23 |
| Page Count | 23 |
| File Format | |
| ISSN | 18695450 |
| Journal | Social Network Analysis and Mining |
| Volume Number | 4 |
| Issue Number | 1 |
| e-ISSN | 18695469 |
| Language | English |
| Publisher | Springer Vienna |
| Publisher Date | 2014-08-22 |
| Publisher Place | Vienna |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Social media Dynamic network analysis Social change Social geography Social network analysis Big data Data Mining and Knowledge Discovery Complex Networks Game Theory, Economics, Social and Behav. Sciences Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law Methodology of the Social Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems Human-Computer Interaction Communication Computer Science Applications Media Technology |
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