NETfrix - Network Science Podcast

Dunbar's Number is a well-known concept which states that the number of social ties a person has is about 150. But... when Dunbar, the famous researcher who came up with this thesis, promoted this idea on his many interviews lately, people's reaction was of disbelief. 150 sounded to them as an inflated number. If it is true, where are all these friends? So who's right - Dunbar or the talkbackers? To help expand the SNA and Network Science community, NETfrix needs your ratings! Rate NETfrix on Spotify or Apple podcasts. Click for Transcript & Links See you on the other side of NETfrix.:) #Podcast #NetworkScience #SNA #SocialNetworkAnalysis #GraphTheory #DataScience #Statistics #ONA #Haaretz #AlanAlda

Mathieu Jacomy, the founder of Gephi and recent PhD graduate in techno-anthropology, discusses the importance of making network analysis accessible. He shares exciting new features of Gephi and emphasizes the need for Java developers to sustain its open-source project. The conversation touches on user feedback driving innovative development, the role of network science in crisis situations, and the significance of open science initiatives in academia. Listeners will find an insightful peek into the future of network analysis tools!

This episode features Dr. Ann McCranie, the Chief Organizer, with special tips to newcomers & Prof. Baruch Barzel on his lab's presentation about new discoveries & mysteries of Network Dynamics. Transcript & Links: http://bit.ly/NETfrix_Networks2021Blog Rate NETfrix: http://bit.ly/Rate_Netfrix Follow on Twitter: https://bit.ly/netfrixP_Twitter Subscribe (by Email or on any podcast platform): https://bit.ly/NETfrix See you on the other side of NETfrix.:) #NETfrix #Podcast #NetworkScience #Networks2021 #NETSCI #INSNA #SNA #SocialNetworkAnalysis #GraphTheory #DataScience #SocialScience #Physics

Dive into the intriguing idea of six degrees of separation and reconsider the nature of our connections. Explore how weak ties can significantly impact job searches, backed by Granovetter's research. Discover the Dunbar number and its relevance in our digital lives. Navigate the complexities of social networks, focusing on the energy required to reach influential figures. This enlightening discussion urges a deeper understanding of our interconnected world.

Michele Coscia, an associate professor at the IT University of Copenhagen and author of the 'Connecting Humanities' blog, dives into engaging discussions around network science. He humorously introduces the first-ever network science joke in a podcast. The conversation covers Italy's unique fascination with network science, the integration of digital tools with humanism, and the economic implications of business travel on global GDP. Coscia also explores the complexities of disinformation dynamics on social media and the intersection of disease spread with information propagation.

Network Science and its dear friend, Data, are here to throw some of our intuitions about politics and partisanship under the nearest bus. Partisanship is Networks' nemesis: Networks are all about connecting while partisanship hacks away at the network's links… So, who shall prevail? SUBSCRIBE or review here: http://bit.ly/NETfrix_Review Transcripts are available on SNApod.net See you on the other side of NETfrix. #NetworkScience #DataScience #Podcast #politics #facebook #Twitter #SNA #SocialNetworkAnalysis #GraphTheory #ComputerScience #SocialPhysics    #Statistics #Mathematics #SocialScience #Physics #politic  

Network Science is an emerging & exciting field in Data Science and it brought to you by an emerging & exciting podcast. BUT be careful! Because with the great power that network analysis can give you - comes great responsibility. For more of the good stuff, SUBSCRIBE: https://bit.ly/NETfrix  #Network_Science #Data_Science #SNA #Social_Network_Analysis #graph_theory #social_physics #data_science #data_analysis #facebook

Here we'll discuss why dynamic networks are chaotic and what are the implications and applications of this statement, especially, to the field of machine learning.   PLS review here: http://bit.ly/NETfrix_Review Transcripts are available on SNApod.net See you on the other side of NETfrix. #Network_Science #SNA #Social_Network Analysis #Graph_Theory #Data_Science #Social_Physics #Computer_Science #Statistics #Mathematics #Social_Science #Physics #Facebook #Podcast #chaos #complex_system #connectome #machine_learning

Dynamic networks are data science's Holy Grail. Here we'll learn why, and what are the applications and implications of dynamic networks.  To do so, we'll have to understand what it has to do with complex system, chaos theory and, of course, groundhogs. PLS review here: http://bit.ly/NETfrix_Review Transcripts are available on SNApod.net See you on the other side of NETfrix. #Network_Science #SNA #Social_Network Analysis #Graph_Theory #Data_Science #Social_Physics #Computer_Science #Statistics #Mathematics #Social_Science #Physics #Facebook #Podcast #chaos #complex_system #connectome #machine_learning

Discover the art of storytelling through data by exploring community detection in networks. Learn how dense clusters mirror real-life group dynamics, like those familiar faces at a party. Uncover the fascinating concept of homophily, where shared traits draw people together. Dive into the evolution of community detection with historical case studies and essential algorithms. Plus, get a quirky twist on cauliflowers that will change the way you see them forever!