Neo4j Budapest - October conference

Name: Neo4j Budapest - October conference
Start: 2019-10-29T18:00:00+01:00
End: 2019-10-29T21:00:00+01:00
Location: IseeQ

Hosted By

Janos Szendi V. and Gabor S.

Details

We are back with three very interesting talks about Neo4j and network science.
We are thankful to IseeQ for the venue - if you need career advice, they are highly recommended! https://iseeq.co

Scroll down for the full program and talks details! Be there at 6:30pm for the first talk!

If you finish work earlier, you join from 6pm onwards.

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😎THE TALKS:

🗣 MOR KAPRONCZAY, Data Scientist at Starschema Ltd.

📊Stock Market Volatility Networks
During time of crises volatility of financial instruments tend to increase as well as correlation between the returns of financial instruments. The spread of a crisis is often documented as contagion, as if some financial asset contaminated others with high volatility (and often decreasing prices). This phenomenon is in the centre of my talk. How volatility is spreading from one market to another? What proportion of volatility is attributable to systematic or idiosyncratic reasons? I aim to answer these questions using a state-space model, the Diebold-Yilmaz spillover framework and the answer is - of course - a graph.

🔗 LinkedIn: https://www.linkedin.com/in/mór-kapronczay-49447692/

🗣 MILAN JANOSOV, Network Science PhD Candidate, Central European University, Department of Network and Data Science

📊Network and data science tools in quantifying success
In this talk, I am going to discuss several applications of network and data science in uncovering hidden patterns of creative success. First I show the effect and importance of luck and randomness on success across 28 creative fields from Science, Film, Music, and Literature. Then, I demonstrate how creative individual’s network positions relate to their highest impact work and uncover two intrinsically different networking patterns, one leading to success, and the other following from success. Finally, I illustrate via the example of electronic music how a particular form of networking behaviour, mentorship, can lead to the emergence of various DJ communities formed around all-time starts, and discuss the benefits and drawbacks of this mechanism.

🔗 LinkedIn: https://www.linkedin.com/in/milan-janosov-76614448/

🗣 GERALD BILLOIR, Indie Product Developer

📊Forming Relationships In The Adult Industry
Some of us like to ask ourselves truly important questions, such as: How many Porn Stars are there in this world? How many different types of adult videos is there? Who are the key opinion leaders in the adult industry?
Gérald has recently started learning programming with Python, Django & Neo4j, in quest of mapping the online adult industry market. Through an entertaining talk, he will share with us some of his progress and learnings while building his first web application, SexyMetrics.