Maksim Tsvetovat

http://twitter.com/maksim2042

Washington, District Of Columbia

Social Network Analysis expert, agent-based modeler, jazz musician, father

Areas of Expertise:

  • social network analysis
  • social media
  • twitter
  • graph theory
  • centrality
  • clustering
  • agent-based systems
  • e-commerce
  • big data problems
  • distributed computation
  • consulting
  • speaking
  • programming
  • training
  • writing
Maksim Tsvetovat is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. Currently, he teaches social network analysis at George Mason University. He is also a co-founder of DeepMile Networks, a startup company concentrating on mapping influence in social media. Maksim also teaches executive seminars in social network analysis, including "Social Networks for Startups" and "Understanding Social Media for Decisionmakers".

Social Network Analysis for Startups Social Network Analysis for Startups
by Maksim Tsvetovat , Alex Kouznetsov
September 2011
Print: $24.99
Ebook: $19.99

Webcast: Community Detection in Social Media Data
March 05, 2013
a.btn-green-arrow { display:inline-block; padding:5px 10px 4px 22px; margin:0; line-height:18px; font-size:16px; font-weight:bold; -webkit-border-radius: 4px; -moz-border-radius: 4px; border-radius: 4px; border:1px solid #f2ba12; color:#222; background...

Webcast: Using Python for Social Network Analysis Online
November 02, 2012
Does your startup or existing business rely on social network analysis? Join us for a fascinating webcast where we will talk about discourse mapping and understanding networks of people that form around conversation topics. We'll explore deriving network...

Webcast: Analyzing Social Networks on Twitter
November 09, 2011
Twitter is rapidly becoming a common carrier of social media, a wire that transmits a variety of content rather then a social network in itself. Yet, Twitter data is rich in elements that yield to Social Network Analysis techniques and can produce...

Webcast: Social Network Analysis -- Finding communities and influencers
December 06, 2011
A follow-on to Analyzing Social Networks on Twitter, this webcast will concentrate on the social component of Twitter data rather then the questions of data gathering and decomposition. Using a predefined dataset, we will attempt to find communities...

Webcast: How do things go viral? Information diffusion in social networks.
May 22, 2012
Going viral is a holy grail of internet marketing — but beside the well-known memes and viral campaigns, there is a slower and quieter process of information diffusion. In fact, information diffusion is at the root of viral nature of some information...

Maksim Tsvetovat