| 1. |
- Kotsios, Andreas, et al.
(författare)
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An Analysis of the Consequences of the General Data Protection Regulation on Social Network Research
- 2019
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Ingår i: ACM Transactions on Social Computing. - : Association for Computing Machinery (ACM). - 2469-7818 .- 2469-7826. ; 2:3
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Tidskriftsartikel (refereegranskat)abstract
- This article examines the principles outlined in the General Data Protection Regulation in the context of social network data. We provide both a practical guide to General Data Protection Regulation--compliant social network data processing, covering aspects such as data collection, consent, anonymization, and data analysis, and a broader discussion of the problems emerging when the general principles on which the regulation is based are instantiated for this research area.
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| 2. |
- Rossi, Luca, et al.
(författare)
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Observing the tech, using meetup data to observe the evolution of the discourse around IoT
- 2019
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Ingår i: Selected Papers of Internet Research, SPIR. - : Annual Conference of the Association of Internet Researchers. - 2162-3317.
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Tidskriftsartikel (refereegranskat)abstract
- This paper proposes to use MeetUp data to study the emergence and the evolution of the technological trend commonly known as Internet of Things (IoT). Starting from a manually selected sample of 220 European MeetUp groups we used MeetUp's APIs, to retrieve additional information about the events and participating users. The final dataset consists of 220 groups, 32967 members and 2386 events from 2011 until now (Jan 2019). The results suggest the presence of clearly identifiable European hubs for IoT development but a worldwide crowd of users. From a temporal perspective the MeetUp data shows how IoT exploded in 2015 and how it might have peaked in 2017. Within this period of time IoT has not been a “stable technology” but as evolved incorporating, within its area of “related topics” new and emerging technologies such as Cryptocurrency or cloud computing.
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| 3. |
- Vega, Davide, et al.
(författare)
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Metrics for Temporal Text Networks
- 2019
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Ingår i: Temporal Network Theory. - Cham : Springer. - 9783030234942 ; , s. 147-160
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Bokkapitel (refereegranskat)abstract
- Human communication, either online or offline, is characterized by when information is shared from one actor to the other and by what specific information is exchanged. Using text as a way to represent the exchanged information, we can represent human communication systems with a temporal text network model where actors and messages coexist in a dynamic multilayer network. In this model, actors and messages are represented in separate layers, connected by inter-layer temporal edges representing the communication acts — who and when communicate what in- formation. In this chapter we revisit some measures specifically developed for tem- poral networks, and extend them to the case of temporal text networks. In particular, we focus on defining measures relevant for the analysis of information propagation, including the concepts of walk, path, temporal precedence and path distance mea- sures. We conclude by discussing how to use the proposed measures in practice by conducting a comparative analysis in a sample communication network based on Twitter mentions.
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