Sociālo tīklu analīze ir attiecību un plūsmu kartēšana un mērīšana starp cilvēkiem, grupām, organizācijām, datoriem, URL un citām savstarpēji saistītām informācijas vienībām. Tīklā punkti ir cilvēki un grupas, bet saites parāda attiecības vai plūsmas. SNA nodrošina gan vizuālu, gan matemātisku analīzi.

Kādēļ sociālo tīklu analīze ir svarīga

• Attiecību izpratne palīdz vizualizēt un izprast attiecības un mijiedarbību starp indivīdiem vai grupām
• Galveno dalībnieku identificēšanavar noteikt centrālās vai ietekmīgās saites tīklā, palīdzot organizācijām saprast, kas ir galvenie dalībnieki, piemēram, viedokļu līderi vai lēmumu pieņēmēji
• Saziņas uzlabošana Analizējot sociālos tīklus, organizācijas var uzlabot komunikācijas stratēģijas, mērķējot uz ietekmīgām personām vai grupām, lai efektīvāk izplatītu informāciju
• Kopienu noteikšana var atklāt grupas vai apakšgrupas lielākos tīklos, kas var būt izšķirīga, lai izprastu grupu dinamiku, sadarbības iespējas un potenciālos šķēršļus
• Uzvedības prognozēšana var palīdzēt prognozēt uzvedību vai tendences, pamatojoties uz tīkla struktūru, kas ir vērtīgi mārketingā, sabiedrības veselībā un socioloģijā
• Resursu sadalījums Organizācijas var labāk sadalīt resursus vai pūles, saprotot, kā informācija un ietekme plūst caur tīklu
• Politikas un stratēģiju informēšana var sniegt ieskatus politikas veidošanā, stratēģiskajā plānošanā un programmu novērtēšanā, skaidrojot sociālās struktūras un to ietekmi uz uzvedību vai rezultātiem
• Sociālo tīklu analīze ir spēcīgs instruments, kas sniedz ieskatu sociālajās struktūrās, uzlabojot lēmumu pieņemšanu, efektivitāti un sadarbību dažādās jomās

Par lektoru

Valdis Edgars Krebs is a network scientist who specializes in social, relational, multimodal data analysis and visualization.

Krebs is a network scientist, who uses data mining, graph analysis, network analysis, pattern discovery and artificial intelligence (AI) to assist a worldwide client base. He developed the popular InFlow software and many unique algorithms for discovering non-obvious patterns in networks.

Valdis has been cited thousands of times in academic publications, patent applications and court documents on network analysis, network visualization, organizational networks, community networks and covert/criminal networks. His work also appears in dozens of business books.

Wikipedia page

Vairāk

Valdis Edgars Krebs: A Pioneer in Social Network Mapping

Valdis Edgars Krebs, a recognized name in the field of social network analysis, is known for his work in applying network mapping techniques to understand various social phenomena. His expertise lies in visualizing and analyzing relationships between people, groups, and organizations, revealing hidden patterns and insights that traditional data analysis methods often miss.

Early Mapping and Consulting Work

Krebs' interest in networks began in the 1990s when he started mapping social structures within organizations. He quickly realized the power of visualizing these connections to understand communication flow, knowledge sharing, and decision-making processes. This led him to found Orgnet, LLC, a consulting firm specializing in network analysis and organizational change.

Through Orgnet, Krebs has worked with numerous Fortune 500 companies, government agencies, and non-profit organizations. He helps them map their internal networks to identify key influencers, communication bottlenecks, and areas for improvement in collaboration and knowledge management.

Uncloaking Terrorist Networks

Krebs gained significant recognition after the 9/11 attacks when he used his network mapping expertise to analyze the terrorist network behind the tragedy. Using publicly available information, he mapped the relationships between the hijackers and other known individuals connected to the plot.

This work, documented in his paper "Mapping Networks of Terrorist Cells," demonstrated the power of network analysis in understanding covert organizations. It highlighted how seemingly disparate individuals could be linked together, revealing the structure and vulnerabilities of terrorist groups.

Key Contributions to Network Mapping

Krebs' work has significantly contributed to the field of network mapping in several ways:

Practical Applications: He has successfully applied network mapping to real-world problems, demonstrating its value in various domains, from business and organizational development to counter-terrorism and public health.

Visualization Techniques: Krebs emphasizes the importance of clear and intuitive visualizations to make network data accessible and understandable. He utilizes various software and tools to create compelling network maps that reveal key insights.

Methodological Advancements: He has refined methodologies for collecting and analyzing network data, particularly in the context of covert networks where information is scarce and difficult to obtain.

Public Awareness: Through his writings, presentations, and workshops, Krebs has helped raise awareness about the power and potential of network mapping, making it a more widely used and understood tool.

Beyond Terrorism: Diverse Applications

While Krebs is perhaps best known for his work on terrorist networks, his expertise extends to various other domains:

• Social Media Analysis: He has studied online social networks to understand how information spreads, how communities form, and how influencers emerge.
• Political Networks: Krebs has mapped political connections to analyze power structures, lobbying efforts, and the flow of influence within political systems.
• Scientific Collaboration: He has examined co-authorship networks in scientific publications to identify key researchers, emerging research areas, and patterns of collaboration.
• Public Health: Krebs has used network mapping to track the spread of diseases, identify high-risk individuals, and design effective intervention strategies.

Continued Impact and Legacy

Valdis Krebs continues to be an influential figure in the field of social network analysis. His work has not only advanced the theoretical understanding of networks but also demonstrated their practical value in addressing real-world challenges.

His legacy lies in his ability to make complex network data accessible and meaningful through clear visualizations and insightful analysis. By revealing the hidden patterns of connections, Krebs has helped us better understand the world around us, from the inner workings of organizations to the dynamics of social movements and the threats posed by terrorist groups.