Few papers of NetSci 2010, Boston

4. 1. tie strength

10. 2. time

14. ‘ breakfast’ and then ‘dinner’, ’ skipped breakfast’ and then ‘headache’ (it takes usually 6h) ‘ peace’ (it’s popular on sundays) ‘ happy hour’ (it’s popular not only on fridays) ‘ love you’ (popular during weekends) ‘ pregnant’ (on thursdays!!!) ‘ exhausted’ (usually at night) future: build a markov chain mdl to study correlations 540M tweets in US Built a visualization tool for temporal occurencese.eg: Michael Macy, Cornell Temporal trends of expression in twitter

15. 3. performance & network diversity

16. Network Diversity and Economic Development Nathan Eagle, 1,2,* Michael Macy, 3,4 Rob Claxton 1,5 diverse personal networks are linked to strong local economy

17. Future: put forward whys to avoid this... Network Diversity and Economic Development Nathan Eagle, 1,2,* Michael Macy, 3,4 Rob Claxton 1,5 “ So keep building those social networks. It’s not a total waste of time. It just might be your own personal economic stimulus package.” diverse personal networks are linked to strong local economy

18. There's a group of connected people solving a problem. What's the best way of connecting those people? linear fully connected Humans balance between exploration and exploitation David Lazer , Harvard

19. There's a group of connected people solving a problem. What's the best way of connecting those people? linear fully connected Peak but no heterogeneity slow Humans balance between exploration and exploitation David Lazer , Harvard

20. There's a group of connected people solving a problem. What's the best way of connecting those people? linear fully connected Peak but no heterogeneity slow Humans balance between exploration and exploitation David Lazer , Harvard Duncan Watts , Yahoo Study on MechTurk . How performance is affected by net topologies and payoffs. Good news: assignments are random and controlled

21. Causality [science 2006] Duncan Watts , Yahoo

22. Causality [PNAS 2009] Sinan Aral , NYU Stern/MIT

23. Good recommender systems promote homophily and kill diversity!

24. Good recommender systems promote homophily and kill diversity! Kate Erlich , IBM Idea: connect people based on 5 types of brokerage (coordinator, gatekeeper, etc.) Inspired by “Structures of Mediation: A Formal Approach to Brokerage in Transaction Networks” '89

25. Me: distinguish brokers, embedded nodes, and hubs

26. 4. Multiplex networks

27. face-to-face contacts Sandy Pentland , MIT “ friends and family ” 100 phones to mit members in a “residence” surveys at different times– monthly, weekly, and asynchronously study the subnetworks of those people (those whose religion is A, those living in floor B, those who have hobby C)

28. face-to-face contacts Sandy Pentland , MIT questions asked: 1) how influence (e.g., happiness) flows across those subnetworks 2) how to nudge people and and how to measure effectiveness (app store) 3) how friendship forms 4) how people react if they are able to control their personal data

29. JP Onnela, Harvard

30. JP Onnela, Harvard

31. 2. time 1. tie strength 3. performance & net diversity 4. multiplex networks