Displaying 4921 - 4930 of 8354
Kosterich, A. & Weber, M. S. (2015, May). Journalism and the Role of Venture Capital: Navigating the New, News Media Landscape. Paper to be presented at the Annual Meeting of the International Communication Association. San Juan, Puerto Rico.
Shi, W. & Weber, M. S. (2015, June). Entrepreneur-Investor Relationships in Metropolitan Areas. Paper to be presented at the at the Annual Meeting of the International Network of Social Network Analysis, Brighton Beach, UK.
Kristensen, T. & Weber, M. S. (2015, June). Research Network and Organizational Affiliations of Pharmaceutical Scientists. Paper to be presented at the at the Annual Meeting of the International Network of Social Network Analysis, Brighton Beach, UK.
Weber, M. S. & Nguyen, H. (2015, June). Big Data? Big Issues: Degradation in Longitudinal Data and Implications for Social Sciences. Paper presented at Web Science 2015, Oxford, UK.
Nguyen, H. & Weber, M. S. (2015, July). Internet Archives as a Tool for Research: Decay in Large Scale Archival Records. Paper presented at the IEEE Big Data Congress 2015, New York, NY.
Treem, J. & Weber, M. S. (2015, November). Defragmenting Work: The Use of Information Communication Technology to Cope With Everyday Overload at Work. Paper presented at the Annual Meeting of the National Communication Association.
Weber, M. S. & Treem, J. (2015, November). Immutable Technology and the Breakdown of Organizational Change. Paper presented at the Annual Meeting of the National Communication Association, Las Vegas, NV.
Weber, M. S. (2014). Observing the web by understanding the past: Archival Internet research. WWW'14 Companion Proceedings. doi: 10.1145/2567948.2579213
Weber, M. S. & Nguyen, H. (2015). Big data? Big issues: Degradation in longitudinal data and implications for social sciences. WebSci 2015 Conference Proceedings. [18% acceptance rate]
Nguyen, H. & Weber, M. S. (2015). Internet archives as a tool for research: Decay in large- scale archival records. Proceedings of the IEEE Big Data Congress. 10.1109/BigDataCongress.2015.118