A HAR Analyser That Stays in the Browser
HAR Insight는 브라우저 내에서 실행되는 로컬 HAR 파일 분석 도구로, 네트워크 캡처 데이터를 클라우드에 업로드하지 않고도 HTTP Archive(HAR) 파일을 안전하게 분석할 수 있습니다. 이 도구는 성능, 보안, 캐시, 타사 리소스 분석 등 다양한 기능을 제공하며, 다중 탭과 캡처 간 비교도 지원합니다. 선택적 공유 및 AI 기반 인사이트 기능은 클라우드 백엔드를 통해 제공되지만, 기본 분석은 완전히 오프라인에서 이루어집니다. 별도의 설치나 계정 없이 바로 사용할 수 있어 개발자뿐 아니라 비기술 지원팀에도 적합합니다.
https://thelazysre.com/posts/a-har-analyser-that-stays-in-your-browser/
Wireshark release 4.6.5 fixes 43 vulnerabilities (38 CVEs) and 35 bugs. Introduction to Malware Binary Triage (IMBT) Course Looking to level up your skills? Get 10% off using coupon code: MWNEWS10 for any flavor. Enroll Now and Save 10%: Coupon Code MWNEWS10 Note: Affiliate link – your enrollment helps support this platform at no extra cost to you. Article Link: Wireshark 4.6.5 Released - SANS Internet Storm Center
Anyone that loves solving problems using graph theory? I am working on a domain specific programming language that works within a graph/network and would love some feedback from diverse fields.
#graphtheory #graphThinking #networkanalysis #programming #programminglanguages
#City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports diverse data sources from #OSM and #GTFS to #OMF making relevant spatial datasets easy to access and work with.
#City2Graph is an open-source #Python package that turns geospatial data into #graph structures for #NetworkAnalysis and Graph Neural Networks, with seamless integration into tools like #GeoPandas, #NetworkX, and #PyTorch Geometric. It supports diverse data sources from #OSM and #GTFS to #OMF making relevant spatial datasets easy to access and work with.
Avi Chawla (@_avichawla)
그래프에서 특정 노드가 영향력 있는 노드들과 연결될수록 더 큰 영향력을 갖게 되는 eigenvector centrality 개념을 설명하고, 코드 예시를 제공한다. 그래프 ML과 네트워크 분석에서 핵심적으로 쓰이는 피처 엔지니어링 기법이다.
https://x.com/_avichawla/status/2044308286363840933
#graphml #eigenvectorcentrality #networkanalysis #featureengineering #machinelearning
6) Eigenvector centrality If a node is connected to other influential nodes, it amplifies its own influence. It helps identify nodes that are influential not only due to their direct ties but also due to their connections with other influential nodes. Here's the code👇
Today comes out "Examining Museum Collections Through a Network Lens" by Astrid Brixy, Mona Dietrich, and Tim Weyrich:
https://doi.org/10.17175/2026_004
The article examines in an exploratory study the development of museum collections with a focus on the collectors who donated objects to the institutions or provided them on loan.
Der Beitrag untersucht die Entwicklung von Museumssammlungen mit Blick auf die Sammler*innen, die Objekte durch Schenkung oder als Leihgaben an die Institutionen brachten. In der explorativen Studie werden die Grenzen und Möglichkeiten der Netzwerkanalyse auf Basis online verfügbarer Datensets aufgezeigt.
Historical Network Research Conference 2026 - conference program is online:
🌐 https://historicalnetworkresearch.github.io/turin/program/
#HNR2026 #turin #hnr #network #networkanalysis #dh #digitalhumanities
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